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1. Robust, fully-automated assessment of cerebral perivascular spaces and white matter lesions: a multicentre MRI longitudinal study of their evolution and association with risk of dementia and accelerated brain atrophy

Author

Barisano, Giuseppe, Iv, Michael, Choupan, Jeiran, Hayden-Gephart, Melanie, Weiner, Michael, Aisen, Paul, Petersen, Ronald, Jack, Clifford R, Jagust, William, Trojanowki, John Q, Toga, Arthur W, Beckett, Laurel, Green, Robert C, Saykin, Andrew J, Morris, John, Shaw, Leslie M, Liu, Enchi, Montine, Tom, Thomas, Ronald G, Donohue, Michael, Walter, Sarah, Gessert, Devon, Sather, Tamie, Jiminez, Gus, Harvey, Danielle, Bernstein, Matthew, Fox, Nick, Thompson, Paul, Schuff, Norbert, DeCarli, Charles, Borowski, Bret, Gunter, Jeff, Senjem, Matt, Vemuri, Prashanthi, Jones, David, Kantarci, Kejal, Ward, Chad, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Landau, Susan, Cairns, Nigel J, Householder, Erin, Reinwald, Lisa Taylor, Lee, Virginia, Korecka, Magdalena, Figurski, Michal, Crawford, Karen, Neu, Scott, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Kelley, Faber, Kim, Sungeun, Nho, Kwangsik, Kachaturian, Zaven, Frank, Richard, Snyder, Peter J, Molchan, Susan, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Carter, Raina, Dolen, Sara, Schneider, Lon S, Pawluczyk, Sonia, Beccera, Mauricio, Teodoro, Liberty, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Fleisher, Adam, Heidebrink, Judith L, Lord, Joanne L, Mason, Sara S, Albers, Colleen S, Knopman, David, Johnson, Kris, Doody, Rachelle S, Meyer, Javier Villanueva, Chowdhury, Munir, Rountree, Susan, Dang, Mimi, Stern, Yaakov, Honig, Lawrence S, Bell, Karen L, Ances, Beau, Morris, John C, Carroll, Maria, Leon, Sue, Mintun, Mark A, Schneider, Stacy, Oliver, Angela, Marson, Daniel, and Griffith, Randall

Subjects
Health Services and Systems, Health Sciences, Aging, Clinical Trials and Supportive Activities, Clinical Research, Bioengineering, Acquired Cognitive Impairment, Neurodegenerative, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Dementia, Alzheimer's Disease Related Dementias (ADRD), Cerebrovascular, Vascular Cognitive Impairment/Dementia, Alzheimer's Disease, Biomedical Imaging, Brain Disorders, Prevention, Neurosciences, 4.1 Discovery and preclinical testing of markers and technologies, 4.2 Evaluation of markers and technologies, Neurological, Alzheimer’s Disease Neuroimaging Initiative, Brain, Humans, Atrophy, Magnetic Resonance Imaging, Longitudinal Studies, Reproducibility of Results, Algorithms, Aged, Aged, 80 and over, Middle Aged, Female, Male, White Matter, Glymphatic System, Alzheimer’s disease, Glymphatic system, Perivascular spaces, Small vessel disease, White matter lesions, Clinical Sciences, Public Health and Health Services, Clinical sciences, Epidemiology
Abstract

BackgroundPerivascular spaces (PVS) on brain MRI are surrogates for small parenchymal blood vessels and their perivascular compartment, and may relate to brain health. However, it is unknown whether PVS can predict dementia risk and brain atrophy trajectories in participants without dementia, as longitudinal studies on PVS are scarce and current methods for PVS assessment lack robustness and inter-scanner reproducibility.MethodsWe developed a robust algorithm to automatically assess PVS count and size on clinical MRI, and investigated 1) their relationship with dementia risk and brain atrophy in participants without dementia, 2) their longitudinal evolution, and 3) their potential use as a screening tool in simulated clinical trials. We analysed 46,478 clinical measurements of cognitive functioning and 20,845 brain MRI scans from 10,004 participants (71.1 ± 9.7 years-old, 56.6% women) from three publicly available observational studies on ageing and dementia (the Alzheimer's Disease Neuroimaging Initiative, the National Alzheimer's Coordinating Centre database, and the Open Access Series of Imaging Studies). Clinical and MRI data collected between 2004 and 2022 were analysed with consistent methods, controlling for confounding factors, and combined using mixed-effects models.FindingsOur fully-automated method for PVS assessment showed excellent inter-scanner reproducibility (intraclass correlation coefficients >0.8). Fewer PVS and larger PVS diameter at baseline predicted higher dementia risk and accelerated brain atrophy. Longitudinal trajectories of PVS markers differed significantly in participants without dementia who converted to dementia compared with non-converters. In simulated placebo-controlled trials for treatments targeting cognitive decline, screening out participants at low risk of dementia based on our PVS markers enhanced the power of the trial independently of Alzheimer's disease biomarkers.InterpretationThese robust cerebrovascular markers predict dementia risk and brain atrophy and may improve risk-stratification of patients, potentially reducing cost and increasing throughput of clinical trials to combat dementia.FundingUS National Institutes of Health.

Published
2025

2. Dynamic proportional loss of functional connectivity revealed change of left superior frontal gyrus in subjective cognitive decline: an explanatory study based on Chinese and Western cohorts

Author

Wang, Luyao, Hu, Wenjing, Dong, Fan, Sheng, Can, Wu, Jinglong, Han, Ying, Jiang, Jiehui, Weiner, Michael W., Aisen, Paul, Petersen, Ronald, Jack, Clifford R., Jagust, William, Trojanowski, John Q., Toga, Arthur W., Beckett, Laurel, Green, Robert C., Saykin, Andrew J., Morris, John, Shaw, Leslie M., Khachaturian, Zaven, Sorensen, Greg, Kuller, Lew, Raichle, Marcus, Paul, Steven, Davies, Peter, Fillit, Howard, Hefti, Franz, Holtzman, David, Mesulam, Marek M., Potter, William, Snyder, Peter, Schwartz, Adam, Montine, Tom, Thomas, Ronald G., Donohue, Michael, Walter, Sarah, Gessert, Devon, Sather, Tamie, Jiminez, Gus, Harvey, Danielle, Bernstein, Matthew, Thompson, Paul, Schuff, Norbert, Borowski, Bret, Gunter, Jeff, Senjem, Matt, Vemuri, Prashanthi, Jones, David, Kantarci, Kejal, Ward, Chad, Koeppe, Robert A., Foster, Norm, Reiman, Eric M., Chen, Kewei, Mathis, Chet, Landau, Susan, Cairns, Nigel J., Householder, Erin, Taylor-Reinwald, Lisa, Lee, Virginia, Korecka, Magdalena, Figurski, Michal, Crawford, Karen, Neu, Scott, Foroud, Tatiana M., Potkin, Steven G., Shen, Li, Faber, Kelley, Kim, Sungeun, Nho, Kwangsik, Thal, Leon, Buckholtz, Neil, Albert, Marylyn, Frank, Richard, Hsiao, John, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Carter, Raina, Dolen, Sara, Schneider, Lon S., Pawluczyk, Sonia, Beccera, Mauricio, Teodoro, Liberty, Spann, Bryan M., Brewer, James, Vanderswag, Helen, Fleisher, Adam, Heidebrink, Judith L., Lord, Joanne L., Mason, Sara S., Albers, Colleen S., Knopman, David, Johnson, Kris, Doody, Rachelle S., Villanueva-Meyer, Javier, Chowdhury, Munir, Rountree, Susan, Dang, Mimi, Stern, Yaakov, Honig, Lawrence S., Bell, Karen L., Ances, Beau, Carroll, Maria, Leon, Sue, Mintun, Mark A., Schneider, Stacy, Oliver, Angela, Marson, Daniel, Griffith, Randall, Clark, David, Geldmacher, David, Brockington, John, Roberson, Erik, Grossman, Hillel, Mitsis, Effie, de Toledo-Morrell, Leyla, Shah, Raj C., Duara, Ranjan, Varon, Daniel, Greig, Maria T., Roberts, Peggy, Onyike, Chiadi, D’Agostino, Daniel, Kielb, Stephanie, Galvin, James E., Cerbone, Brittany, Michel, Christina A., Rusinek, Henry, de Leon, Mony J., Glodzik, Lidia, De Santi, Susan, Doraiswamy, PMurali, Petrella, Jeffrey R., Wong, Terence Z., Arnold, Steven E., Karlawish, Jason H., Wolk, David, Smith, Charles D., Jicha, Greg, Hardy, Peter, Sinha, Partha, Oates, Elizabeth, Conrad, Gary, Lopez, Oscar L., Oakley, MaryAnn, Simpson, Donna M., Porsteinsson, Anton P., Goldstein, Bonnie S., Martin, Kim, Makino, Kelly M., Ismail, MSaleem, Brand, Connie, Mulnard, Ruth A., Thai, Gaby, McAdams-Ortiz, Catherine, Womack, Kyle, Mathews, Dana, Quiceno, Mary, Diaz-Arrastia, Ramon, King, Richard, Weiner, Myron, Martin-Cook, Kristen, DeVous, Michael, Levey, Allan I., Lah, James J., Cellar, Janet S., Burns, Jeffrey M., Anderson, Heather S., Swerdlow, Russell H., Apostolova, Liana, Tingus, Kathleen, Woo, Ellen, Silverman, Daniel H. S., Lu, Po H., Bartzokis, George, Graff-Radford, Neill R., Parfitt, Francine, Kendall, Tracy, Johnson, Heather, Farlow, Martin R., Hake, Ann Marie, Matthews, Brandy R., Herring, Scott, Hunt, Cynthia, van Dyck, Christopher H., Carson, Richard E., MacAvoy, Martha G., Chertkow, Howard, Bergman, Howard, Hosein, Chris, Hsiung, Ging-Yuek Robin, Feldman, Howard, Mudge, Benita, Assaly, Michele, Bernick, Charles, Munic, Donna, Kertesz, Andrew, Rogers, John, Trost, Dick, Kerwin, Diana, Lipowski, Kristine, Wu, Chuang-Kuo, Johnson, Nancy, Sadowsky, Carl, Martinez, Walter, Villena, Teresa, Turner, Raymond Scott, Johnson, Kathleen, Reynolds, Brigid, Sperling, Reisa A., Johnson, Keith A., Marshall, Gad, Frey, Meghan, Lane, Barton, Rosen, Allyson, Tinklenberg, Jared, Sabbagh, Marwan N., Belden, Christine M., Jacobson, Sandra A., Sirrel, Sherye A., Kowall, Neil, Killiany, Ronald, Budson, Andrew E., Norbash, Alexander, Johnson, Patricia Lynn, Allard, Joanne, Lerner, Alan, Ogrocki, Paula, Hudson, Leon, Fletcher, Evan, Carmichae, Owen, Olichney, John, DeCarli, Charles, Kittur, Smita, Borrie, Michael, Lee, T.-Y., Bartha, Rob, Johnson, Sterling, Asthana, Sanjay, Carlsson, Cynthia M., Preda, Adrian, Nguyen, Dana, Tariot, Pierre, Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Scharre, Douglas W., Kataki, Maria, Adeli, Anahita, Zimmerman, Earl A., Celmins, Dzintra, Brown, Alice D., Pearlson, Godfrey D., Blank, Karen, Anderson, Karen, Santulli, Robert B., Kitzmiller, Tamar J., Schwartz, Eben S., Sink, Kaycee M., Williamson, Jeff D., Garg, Pradeep, Watkins, Franklin, Ott, Brian R., Querfurth, Henry, Tremont, Geoffrey, Salloway, Stephen, Malloy, Paul, Correia, Stephen, Rosen, Howard J., Miller, Bruce L., Mintzer, Jacobo, Spicer, Kenneth, Bachman, David, Pasternak, Stephen, Rachinsky, Irina, Drost, Dick, Pomara, Nunzio, Hernando, Raymundo, Sarrael, Antero, Schultz, Susan K., Ponto, Laura L. Boles, Shim, Hyungsub, Smith, Karen Elizabeth, Relkin, Norman, Chaing, Gloria, Raudin, Lisa, Smith, Amanda, Fargher, Kristin, Raj, Balebail Ashok, Neylan, Thomas, Grafman, Jordan, Davis, Melissa, Morrison, Rosemary, Hayes, Jacqueline, Finley, Shannon, Friedl, Karl, Fleischman, Debra, Arfanakis, Konstantinos, James, Olga, Massoglia, Dino, Fruehling, JJay, Harding, Sandra, Peskind, Elaine R., Petrie, Eric C., Li, Gail, Yesavage, Jerome A., Taylor, Joy L., and Furst, Ansgar J.

Published
2025
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3. Genetic associations with dementia‐related proteinopathy: Application of item response theory

Author

Katsumata, Yuriko, Fardo, David W, Shade, Lincoln MP, Wu, Xian, Karanth, Shama D, Hohman, Timothy J, Schneider, Julie A, Bennett, David A, Farfel, Jose M, Gauthreaux, Kathryn, Mock, Charles, Kukull, Walter A, Abner, Erin L, Nelson, Peter T, Carrillo, Maria, Reiman, Eric M, Chen, Kewei, Masterman, Donna, Green, Robert C, Ho, Carole, Fleisher, Adam, Saykin, Andrew J, Nho, Kwangsik, Apostolova, Liana G, Risacher, Shannon L, Jackson, Jonathan, Forghanian-Arani, Arvin, Borowski, Bret, Ward, Chad, Schwarz, Christopher, Jack, Clifford R, Jones, David, Gunter, Jeff, Kantarci, Kejal, Senjem, Matthew, Vemuri, Prashanthi, Reid, Robert, Petersen, Ronald, Hsiao, John K, Potter, William, Masliah, Eliezer, Ryan, Laurie, Bernard, Marie, Silverberg, Nina, Kormos, Adrienne, Conti, Cat, Veitch, Dallas, Flenniken, Derek, Sacrey, Diana Truran, Choe, Mark, Ashford, Miriam, Chen, Stephanie Rossi, Faber, Kelley, Nudelman, Kelly, Wilme, Kristi, Foroud, Tatiana M, Trojanowki, John Q, Shaw, Leslie M, Korecka, Magdalena, Figurski, Michal, Khachaturian, Zaven, Barnes, Lisa, Malone, Ian, Fox, Nick C, Beckett, Laurel, Weiner, Michael W, Jagust, William, Landau, Susan, Knaack, Alexander, DeCarli, Charles, Harvey, Danielle, Fletcher, Evan, González, Hector, Jin, Chengshi, Tosun‐Turgut, Duygu, Neuhaus, John, Fockler, Juliet, Nosheny, Rachel, Koeppe, Robert A, Yushkevich, Paul A, Das, Sandhitsu, Mathis, Chet, Toga, Arthur W, Zimmerman, Caileigh, Gessert, Devon, Shcrer, Elizabeth, Miller, Garrett, Coker, Godfrey, Jimenez, Gustavo, Salazar, Jennifer, Pizzola, Jeremy, Crawford, Karen, Hergesheimer, Lindsey, Donohue, Michael, and Rafii, Michael

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Prevention, Alzheimer's Disease Related Dementias (ADRD), Genetics, Brain Disorders, Aging, Alzheimer's Disease, Lewy Body Dementia, Neurodegenerative, Dementia, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Acquired Cognitive Impairment, 2.1 Biological and endogenous factors, Neurological, Humans, alpha-Synuclein, TDP-43 Proteinopathies, Proteostasis Deficiencies, DNA-Binding Proteins, Biological Products, Alzheimer Disease, Membrane Proteins, Nerve Tissue Proteins, Alzheimer's Disease Neuroimaging Initiative, National Alzheimer's Coordinating Center, ARHGEF28, Alzheimer's Coordinating Center, Alzheimer's Disease Sequencing Project, Alzheimer's disease neuropathologic changes, Item response theory, Lewy, RGNEF, Religious Orders Study, Rush Memory and Aging Project, SDHAF1, TMEM68, neuropathology, Geriatrics, Clinical sciences, Biological psychology
Abstract

IntroductionAlthough dementia-related proteinopathy has a strong negative impact on public health, and is highly heritable, understanding of the related genetic architecture is incomplete.MethodsWe applied multidimensional generalized partial credit modeling (GPCM) to test genetic associations with dementia-related proteinopathies. Data were analyzed to identify candidate single nucleotide variants for the following proteinopathies: Aβ, tau, α-synuclein, and TDP-43.ResultsFinal included data comprised 966 participants with neuropathologic and WGS data. Three continuous latent outcomes were constructed, corresponding to TDP-43-, Aβ/Tau-, and α-synuclein-related neuropathology endophenotype scores. This approach helped validate known genotype/phenotype associations: for example, TMEM106B and GRN were risk alleles for TDP-43 pathology; and GBA for α-synuclein/Lewy bodies. Novel suggestive proteinopathy-linked alleles were also discovered, including several (SDHAF1, TMEM68, and ARHGEF28) with colocalization analyses and/or high degrees of biologic credibility.DiscussionA novel methodology using GPCM enabled insights into gene candidates for driving misfolded proteinopathies.HighlightsLatent factor scores for proteinopathies were estimated using a generalized partial credit model. The three latent continuous scores corresponded well with proteinopathy severity. Novel genes associated with proteinopathies were identified. Several genes had high degrees of biologic credibility for dementia risk factors.

Published
2024

4. Robust, fully-automated assessment of cerebral perivascular spaces and white matter lesions: a multicentre MRI longitudinal study of their evolution and association with risk of dementia and accelerated brain atrophy

Author

Weiner, Michael, Aisen, Paul, Petersen, Ronald, Jack, Clifford R., Jagust, William, Trojanowki, John Q., Toga, Arthur W., Beckett, Laurel, Green, Robert C., Saykin, Andrew J., Morris, John, Shaw, Leslie M., Liu, Enchi, Montine, Tom, Thomas, Ronald G., Donohue, Michael, Walter, Sarah, Gessert, Devon, Sather, Tamie, Jiminez, Gus, Harvey, Danielle, Bernstein, Matthew, Fox, Nick, Thompson, Paul, Schuff, Norbert, DeCarli, Charles, Borowski, Bret, Gunter, Jeff, Senjem, Matt, Vemuri, Prashanthi, Jones, David, Kantarci, Kejal, Ward, Chad, Koeppe, Robert A., Foster, Norm, Reiman, Eric M., Chen, Kewei, Mathis, Chet, Landau, Susan, Cairns, Nigel J., Householder, Erin, Reinwald, Lisa Taylor, Lee, Virginia, Korecka, Magdalena, Figurski, Michal, Crawford, Karen, Neu, Scott, Foroud, Tatiana M., Potkin, Steven, Shen, Li, Kelley, Faber, Kim, Sungeun, Nho, Kwangsik, Kachaturian, Zaven, Frank, Richard, Snyder, Peter J., Molchan, Susan, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Carter, Raina, Dolen, Sara, Schneider, Lon S., Pawluczyk, Sonia, Beccera, Mauricio, Teodoro, Liberty, Spann, Bryan M., Brewer, James, Vanderswag, Helen, Fleisher, Adam, Heidebrink, Judith L., Lord, Joanne L., Mason, Sara S., Albers, Colleen S., Knopman, David, Johnson, Kris, Doody, Rachelle S., Meyer, Javier Villanueva, Chowdhury, Munir, Rountree, Susan, Dang, Mimi, Stern, Yaakov, Honig, Lawrence S., Bell, Karen L., Ances, Beau, Morris, John C., Carroll, Maria, Leon, Sue, Mintun, Mark A., Schneider, Stacy, Oliver, Angela, Marson, Daniel, Griffith, Randall, Clark, David, Geld-macher, David, Brockington, John, Roberson, Erik, Grossman, Hillel, Mitsis, Effie, Leyla deToledo-Morrell, Shah, Raj C., Duara, Ranjan, Varon, Daniel, Greig, Maria T., Roberts, Peggy, Albert, Marilyn, Onyike, Chiadi, D’Agostino, Daniel, Kielb, Stephanie, Galvin, James E., Pogorelec, Dana M., Cerbone, Brittany, Michel, Christina A., Rusinek, Henry, de Leon, Mony J., Glodzik, Lidia, De Santi, Susan, Doraiswamy, P. Murali, Petrella, Jeffrey R., Wong, Terence Z., Arnold, Steven E., Karlawish, Jason H., Wolk, David, Smith, Charles D., Jicha, Greg, Hardy, Peter, Sinha, Partha, Oates, Elizabeth, Conrad, Gary, Lopez, Oscar L., Oakley, MaryAnn, Simpson, Donna M., Porsteinsson, Anton P., Goldstein, Bonnie S., Martin, Kim, Makino, Kelly M., Ismail, M. Saleem, Brand, Connie, Mulnard, Ruth A., Thai, Gaby, Adams Ortiz, Catherine Mc, Womack, Kyle, Mathews, Dana, Quiceno, Mary, Arrastia, Ramon Diaz, King, Richard, Weiner, Myron, Cook, Kristen Martin, DeVous, Michael, Levey, Allan I., Lah, James J., Cellar, Janet S., Burns, Jeffrey M., Anderson, Heather S., Swerdlow, Russell H., Apostolova, Liana, Tingus, Kathleen, Woo, Ellen, Silverman, Daniel H.S., Lu, Po H., Bartzokis, George, Graff Radford, Neill R., Parfitt, Francine, Kendall, Tracy, Johnson, Heather, Farlow, Martin R., Hake, AnnMarie, Matthews, Brandy R., Herring, Scott, Hunt, Cynthia, van Dyck, Christopher H., Carson, Richard E., MacAvoy, Martha G., Chertkow, Howard, Bergman, Howard, Hosein, Chris, Black, Sandra, Stefanovic, Bojana, Caldwell, Curtis, Robin Hsiung, Ging-Yuek, Feldman, Howard, Mudge, Benita, Assaly, Michele, Kertesz, Andrew, Rogers, John, Trost, Dick, Bernick, Charles, Munic, Donna, Kerwin, Diana, Mesulam, Marek Marsel, Lipowski, Kristine, Wu, Chuang Kuo, Johnson, Nancy, Sadowsky, Carl, Martinez, Walter, Villena, Teresa, Turner, Raymond Scott, Johnson, Kathleen, Reynolds, Brigid, Sperling, Reisa A., Johnson, Keith A., Marshall, Gad, Frey, Meghan, Yesavage, Jerome, Taylor, Joy L., Lane, Barton, Rosen, Allyson, Tinklenberg, Jared, Sabbagh, Marwan N., Belden, Christine M., Jacobson, Sandra A., Sirrel, Sherye A., Kowall, Neil, Killiany, Ronald, Budson, Andrew E., Norbash, Alexander, Johnson, Patricia Lynn, Obisesan, Thomas O., Wolday, Saba, Allard, Joanne, Lerner, Alan, Ogrocki, Paula, Hudson, Leon, Fletcher, Evan, Carmichael, Owen, Olichney, John, Kittur, Smita, Borrie, Michael, Lee, T.Y., Bartha, Rob, Johnson, Sterling, Asthana, Sanjay, Carlsson, Cynthia M., Potkin, Steven G., Preda, Adrian, Nguyen, Dana, Tariot, Pierre, Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Scharre, Douglas W., Kataki, Maria, Adeli, Anahita, Zimmerman, Earl A., Celmins, Dzintra, Brown, Alice D., Pearlson, Godfrey D., Blank, Karen, Anderson, Karen, Santulli, Robert B., Kitzmiller, Tamar J., Schwartz, Eben S., Sink, Kaycee M., Williamson, Jeff D., Garg, Pradeep, Watkins, Franklin, Ott, Brian R., Querfurth, Henry, Tremont, Geoffrey, Salloway, Stephen, Malloy, Paul, Correia, Stephen, Rosen, Howard J., Miller, Bruce L., Mintzer, Jacobo, Spicer, Kenneth, Bachman, David, Finger, Elizabeth, Pasternak, Stephen, Rachinsky, Irina, Drost, Dick, Pomara, Nunzio, Hernando, Raymundo, Sarrael, Antero, Schultz, Susan K., Boles Ponto, Laura L., Shim, Hyungsub, Smith, Karen Elizabeth, Relkin, Norman, Chaing, Gloria, Raudin, Lisa, Smith, Amanda, Fargher, Kristin, Raj, Balebail Ashok, Barisano, Giuseppe, Iv, Michael, Choupan, Jeiran, and Hayden-Gephart, Melanie

Published
2025
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5. Women can bear a bigger burden: ante- and post-mortem evidence for reserve in the face of tau

Author

Digma, Leonardino A, Madsen, John R, Rissman, Robert A, Jacobs, Diane M, Brewer, James B, Banks, Sarah J, Weiner, Michael, Aisen, Paul, Petersen, Ronald, Jack, Clifford R, Jagust, William, Trojanowki, John Q, Toga, Arthur W, Beckett, Laurel, Green, Robert C, Saykin, Andrew J, Morris, John, Shaw, Leslie M, Liu, Enchi, Montine, Tom, Thomas, Ronald G, Donohue, Michael, Walter, Sarah, Gessert, Devon, Sather, Tamie, Jiminez, Gus, Harvey, Danielle, Bernstein, Matthew, Fox, Nick, Thompson, Paul, Schuff, Norbert, DeCArli, Charles, Borowski, Bret, Gunter, Jeff, Senjem, Matt, Vemuri, Prashanthi, Jones, David, Kantarci, Kejal, Ward, Chad, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Landau, Susan, Cairns, Nigel J, Householder, Erin, Reinwald, Lisa Taylor, Lee, Virginia, Korecka, Magdalena, Figurski, Michal, Crawford, Karen, Neu, Scott, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Kelley, Faber, Kim, Sungeun, Nho, Kwangsik, Kachaturian, Zaven, Frank, Richard, Snyder, Peter J, Molchan, Susan, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Carter, Raina, Dolen, Sara, Schneider, Lon S, Pawluczyk, Sonia, Beccera, Mauricio, Teodoro, Liberty, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Fleisher, Adam, Heidebrink, Judith L, Lord, Joanne L, Mason, Sara S, Albers, Colleen S, Knopman, David, Johnson, Kris, Doody, Rachelle S, Meyer, Javier Villanueva, Chowdhury, Munir, Rountree, Susan, Dang, Mimi, Stern, Yaakov, Honig, Lawrence S, Bell, Karen L, Ances, Beau, Morris, John C, Carroll, Maria, Leon, Sue, Mintun, Mark A, Schneider, Stacy, and Oliver, Angela

Subjects
Biological Psychology, Psychology, Neurodegenerative, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Aging, Alzheimer's Disease, Dementia, Women's Health, Brain Disorders, Clinical Research, Neurosciences, Acquired Cognitive Impairment, 2.1 Biological and endogenous factors, tau, verbal memory, sex differences, Alzheimer's disease, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s disease, Clinical sciences, Biological psychology
Abstract

In this study, we aimed to assess whether women are able to withstand more tau before exhibiting verbal memory impairment. Using data from 121 amyloid-β-positive Alzheimer's Disease Neuroimaging Initiative participants, we fit a linear model with Rey Auditory Verbal Learning Test score as the response variable and tau-PET standard uptake value ratio as the predictor and took the residuals as an estimate of verbal memory reserve for each subject. Women demonstrated higher reserve (i.e. residuals), whether the Learning (t = 2.78, P = 0.006) or Delay (t = 2.14, P = 0.03) score from the Rey Auditory Verbal Learning Test was used as a measure of verbal memory ability. To validate these findings, we examined 662 National Alzheimer's Coordinating Center participants with a C2/C3 score (Consortium to Establish a Registry for Alzheimer's Disease) at autopsy. We stratified our National Alzheimer's Coordinating Center sample into Braak 1/2, Braak 3/4 and Braak 5/6 subgroups. Within each subgroup, we compared Logical Memory scores between men and women. Men had worse verbal memory scores within the Braak 1/2 (Logical Memory Immediate: β = -5.960 ± 1.517, P

Published
2020

6. 18F-florbetapir Positron Emission Tomography–determined Cerebral &bgr;-Amyloid Deposition and Neurocognitive Performance after Cardiac Surgery

Author

Klinger, Rebecca Y, James, Olga G, Borges-Neto, Salvador, Bisanar, Tiffany, Li, Yi-Ju, Qi, Wenjing, Berger, Miles, Terrando, Niccolò, Newman, Mark F, Doraiswamy, P Murali, Mathew, Joseph P, Weiner, Michael W, Aisen, Paul, Weiner, Michael, Petersen, Ronald, Jack, Clifford R, Jagust, William, Trojanowki, John Q, Toga, Arthur W, Beckett, Laurel, Green, Robert C, Saykin, Andrew J, Morris, John, Shaw, Leslie M, Khachaturian, Zaven, Sorensen, Greg, Carrillo, Maria, Kuller, Lew, Raichle, Marc, Paul, Steven, Davies, Peter, Fillit, Howard, Hefti, Franz, Holtzman, David, Mesulam, M Marcel, Potter, William, Snyder, Peter, Schwartz, Adam, Montine, Tom, Thomas, Ronald G, Donohue, Michael, Walter, Sarah, Gessert, Devon, Sather, Tamie, Jiminez, Gus, Balasubramanian, Archana B, Mason, Jennifer, Sim, Iris, Harvey, Danielle, Bernstein, Matthew, Fox, Nick, Thompson, Paul, Schuff, Norbert, DeCArli, Charles, Borowski, Bret, Gunter, Jeff, Senjem, Matt, Vemuri, Prashanthi, Jones, David, Kantarci, Kejal, Ward, Chad, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Landau, Susan, Morris, John C, Cairns, Louis Nigel J, Franklin, Erin, Taylor-Reinwald, Lisa, Lee, Virginia, Korecka, Magdalena, Figurski, Michal, Crawford, Karen, Neu, Scott, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Faber, Kelley, Kim, Sungeun, Nho, Kwangsik, Thal, Lean, Thal, Leon, and Buckholtz, Neil

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Brain Disorders, Neurodegenerative, Behavioral and Social Science, Dementia, Neurosciences, Acquired Cognitive Impairment, Biomedical Imaging, Clinical Research, Aging, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Alzheimer's Disease, Mental Health, 2.1 Biological and endogenous factors, Neurological, Aged, Amyloid beta-Peptides, Aniline Compounds, Brain, Cardiac Surgical Procedures, Cognitive Dysfunction, Ethylene Glycols, Female, Fluorine Radioisotopes, Humans, Male, Mental Status and Dementia Tests, Middle Aged, Positron-Emission Tomography, Postoperative Complications, Prospective Studies, Alzheimer’s Disease Neuroimaging Initiative (ADNI) Study Group, Neurologic Outcomes Research Group, Anesthesiology, Clinical sciences
Abstract

BackgroundAmyloid deposition is a potential contributor to postoperative cognitive dysfunction. The authors hypothesized that 6-week global cortical amyloid burden, determined by F-florbetapir positron emission tomography, would be greater in those patients manifesting cognitive dysfunction at 6 weeks postoperatively.MethodsAmyloid deposition was evaluated in cardiac surgical patients at 6 weeks (n = 40) and 1 yr (n = 12); neurocognitive function was assessed at baseline (n = 40), 6 weeks (n = 37), 1 yr (n = 13), and 3 yr (n = 9). The association of 6-week amyloid deposition with cognitive dysfunction was assessed by multivariable regression, accounting for age, years of education, and baseline cognition. Differences between the surgical cohort with cognitive deficit and the Alzheimer's Disease Neuroimaging Initiative cohorts (normal and early/late mild cognitive impairment) was assessed, adjusting for age, education, and apolipoprotein E4 genotype.ResultsThe authors found that 6-week abnormal global cortical amyloid deposition was not associated with cognitive dysfunction (13 of 37, 35%) at 6 weeks postoperatively (median standard uptake value ratio [interquartile range]: cognitive dysfunction 0.92 [0.89 to 1.07] vs. 0.98 [0.93 to 1.05]; P = 0.455). In post hoc analyses, global cortical amyloid was also not associated with cognitive dysfunction at 1 or 3 yr postoperatively. Amyloid deposition at 6 weeks in the surgical cohort was not different from that in normal Alzheimer's Disease Neuroimaging Initiative subjects, but increased over 1 yr in many areas at a rate greater than in controls.ConclusionsIn this study, postoperative cognitive dysfunction was not associated with 6-week cortical amyloid deposition. The relationship between cognitive dysfunction and regional amyloid burden and the rate of postoperative amyloid deposition merit further investigation.

Published
2018

7. Identification of genetic risk factors in the Chinese population implicates a role of immune system in Alzheimer’s disease pathogenesis

Author

Zhou, Xiaopu, Chen, Yu, Mok, Kin Y, Zhao, Qianhua, Chen, Keliang, Chen, Yuewen, Hardy, John, Li, Yun, Fu, Amy KY, Guo, Qihao, Ip, Nancy Y, Saykin, Andrew J, Toga, Arthur W, Borowski, Bret, Ward, Chad, DeCarli, Charles, Mathis, Chet, Jack, Clifford R, Harvey, Danielle, Holtzman, David, Jones, David, Gessert, Devon, Lilly, Eli, Reiman, Eric M, Franklin, Erin, Hefti, Franz, Sorensen, Greg, Jimenez, Gustavo, Fillit, Howard, Gunter, Jeff, Salazar, Jennifer, Hsiao, John, Morris, John, Trojanowki, John Q, Neu, Karen Crawford Scott, Kantarci, Kejal, Faber, Kelley, Harless, Kelly, Chen, Kewei, Nho, Kwangsik, Beckett, Laurel, Thal, Lean, Thal, Leon, Shaw, Leslie M, Kuller, Lew, Shen, Li, Hergesheimer, Lindsey, Taylor-Reinwald, Lisa, Mesulam, M Marcel, Korecka, Magdalena, Raichle, Marc, Carrillo, Maria, Albert, Marilyn, Senjem, Matt, Bernstein, Matthew, Donohue, Michael, Weiner, Michael, Figurski, Michal, Buckholtz, Neil, Fox, Nick, Cairns, Nigel J, Schuff, Norbert, Foster, Norm, Aisen, Paul, Thompson, Paul, Davies, Peter, Snyder, Peter J, Snyder, Peter, Vemuri, Prashanthi, Frank, Richard, Koeppe, Robert A, Green, Robert C, Petersen, Ronald, Walter, Sarah, Paul, Steven, Potkin, Steven, Kim, Sungeun, Foroud, Tatiana M, Montine, Tom, Lee, Virginia, Jagust, William, Potter, William, Cabrera, Yuliana, Khachaturian, Zaven, Fleisher, Adam, Pierce, Aimee, Mintz, Akiva, Lerner, Alan, Norbash, Alexander, Levey, Allan I, Rosen, Allyson, Smith, Amanda, Ulysse, Anaztasia, Budson, Andrew E, Kertesz, Andrew, Oliver, Angela, Hake, Ann Marie, Burke, Anna, Sarrael, Antero, and Porsteinsson, Anton P

Subjects
Biological Sciences, Genetics, Alzheimer's Disease, Clinical Research, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Human Genome, Neurosciences, Dementia, Acquired Cognitive Impairment, Brain Disorders, Prevention, Neurodegenerative, Aging, 2.1 Biological and endogenous factors, 4.1 Discovery and preclinical testing of markers and technologies, Neurological, Good Health and Well Being, Age of Onset, Aged, Aged, 80 and over, Alzheimer Disease, Apolipoproteins E, Asian People, China, Cohort Studies, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Immune System, Male, Middle Aged, Potassium Channels, Inwardly Rectifying, Risk Factors, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s disease, GWAS, immune, risk variant, whole-genome sequencing
Abstract

Alzheimer's disease (AD) is a leading cause of mortality among the elderly. We performed a whole-genome sequencing study of AD in the Chinese population. In addition to the variants identified in or around the APOE locus (sentinel variant rs73052335, P = 1.44 × 10-14), two common variants, GCH1 (rs72713460, P = 4.36 × 10-5) and KCNJ15 (rs928771, P = 3.60 × 10-6), were identified and further verified for their possible risk effects for AD in three small non-Asian AD cohorts. Genotype-phenotype analysis showed that KCNJ15 variant rs928771 affects the onset age of AD, with earlier disease onset in minor allele carriers. In addition, altered expression level of the KCNJ15 transcript can be observed in the blood of AD subjects. Moreover, the risk variants of GCH1 and KCNJ15 are associated with changes in their transcript levels in specific tissues, as well as changes of plasma biomarkers levels in AD subjects. Importantly, network analysis of hippocampus and blood transcriptome datasets suggests that the risk variants in the APOE, GCH1, and KCNJ15 loci might exert their functions through their regulatory effects on immune-related pathways. Taking these data together, we identified common variants of GCH1 and KCNJ15 in the Chinese population that contribute to AD risk. These variants may exert their functional effects through the immune system.

Published
2018

8. Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer’s disease

Author

Zhang, Xiuming, Mormino, Elizabeth C, Sun, Nanbo, Sperling, Reisa A, Sabuncu, Mert R, Yeo, BT Thomas, Weiner, Michael W, Aisen, Paul, Weiner, Michael, Petersen, Ronald, Jack, Clifford R, Jagust, William, Trojanowki, John Q, Toga, Arthur W, Beckett, Laurel, Green, Robert C, Saykin, Andrew J, Morris, John, Shaw, Leslie M, Khachaturian, Zaven, Sorensen, Greg, Carrillo, Maria, Kuller, Lew, Raichle, Marc, Paul, Steven, Davies, Peter, Fillit, Howard, Hefti, Franz, Holtzman, David, Mesulam, M Marcel, Potter, William, Snyder, Peter, Schwartz, Adam, Montine, Tom, Thomas, Ronald G, Donohue, Michael, Walter, Sarah, Gessert, Devon, Sather, Tamie, Jiminez, Gus, Balasubramanian, Archana B, Mason, Jennifer, Sim, Iris, Harvey, Danielle, Bernstein, Matthew, Fox, Nick, Thompson, Paul, Schuff, Norbert, DeCArli, Charles, Borowski, Davis Bret, Gunter, Jeff, Senjem, Matt, Vemuri, Prashanthi, Jones, David, Kantarci, Kejal, Ward, Chad, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Landau, Susan, Morris, John C, Cairns, Nigel J, Franklin, Erin, Taylor-Reinwald, Lisa, Lee, Virginia, Korecka, Magdalena, Figurski, Michal, Crawford, Karen, Neu, Scott, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Faber, Kelley, Kim, Sungeun, Nho, Kwangsik, Thal, Lean, Thal, Leon, Buckholtz, Neil, Snyder, Peter J, Albert, Marilyn, and Frank, Richard

Subjects
Biological Psychology, Psychology, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Brain Disorders, Behavioral and Social Science, Acquired Cognitive Impairment, Aging, Dementia, Neurosciences, Mental Health, Basic Behavioral and Social Science, Alzheimer's Disease, Neurodegenerative, Clinical Research, 2.1 Biological and endogenous factors, Neurological, Alzheimer Disease, Atrophy, Bayes Theorem, Brain, Cognitive Dysfunction, Female, Humans, Magnetic Resonance Imaging, Male, Risk Factors, mental disorder subtypes, Alzheimer's disease subtypes, Alzheimer's disease heterogeneity, voxel-based morphometry, unsupervised machine learning, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s disease heterogeneity, Alzheimer’s disease subtypes
Abstract

We used a data-driven Bayesian model to automatically identify distinct latent factors of overlapping atrophy patterns from voxelwise structural MRIs of late-onset Alzheimer's disease (AD) dementia patients. Our approach estimated the extent to which multiple distinct atrophy patterns were expressed within each participant rather than assuming that each participant expressed a single atrophy factor. The model revealed a temporal atrophy factor (medial temporal cortex, hippocampus, and amygdala), a subcortical atrophy factor (striatum, thalamus, and cerebellum), and a cortical atrophy factor (frontal, parietal, lateral temporal, and lateral occipital cortices). To explore the influence of each factor in early AD, atrophy factor compositions were inferred in beta-amyloid-positive (Aβ+) mild cognitively impaired (MCI) and cognitively normal (CN) participants. All three factors were associated with memory decline across the entire clinical spectrum, whereas the cortical factor was associated with executive function decline in Aβ+ MCI participants and AD dementia patients. Direct comparison between factors revealed that the temporal factor showed the strongest association with memory, whereas the cortical factor showed the strongest association with executive function. The subcortical factor was associated with the slowest decline for both memory and executive function compared with temporal and cortical factors. These results suggest that distinct patterns of atrophy influence decline across different cognitive domains. Quantification of this heterogeneity may enable the computation of individual-level predictions relevant for disease monitoring and customized therapies. Factor compositions of participants and code used in this article are publicly available for future research.

Published
2016

9. Accelerating rates of cognitive decline and imaging markers associated with &bgr;-amyloid pathology

Author

Insel, Philip S, Mattsson, Niklas, Mackin, R Scott, Schöll, Michael, Nosheny, Rachel L, Tosun, Duygu, Donohue, Michael C, Aisen, Paul S, Jagust, William J, Weiner, Michael W, Weiner, Michael, Aisen, Paul, Petersen, Ronald, Jack, Clifford R, Jagust, William, Trojanowki, John Q, Toga, Arthur W, Beckett, Laurel, Green, Robert C, Saykin, Andrew J, Morris, John, Liu, Enchi, Montine, Tom, Gamst, Anthony, Thomas, Ronald G, Donohue, Michael, Walter, Sarah, Gessert, Devon, Sather, Tamie, Harvey, Danielle, Kornak, John, Dale, Anders, Bernstein, Matthew, Felmlee, Joel, Fox, Nick, Thompson, Paul, Schuff, Norbert, Alexander, Gene, DeCarli, Charles, Bandy, Dan, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Cairns, Nigel J, Taylor-Reinwald, Lisa, Trojanowki, JQ, Shaw, Les, Lee, Virginia MY, Korecka, Magdalena, Crawford, Karen, Neu, Scott, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Kachaturian, Zaven, Frank, Richard, Snyder, Peter J, Molchan, Susan, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S, Pawluczyk, Sonia, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Heidebrink, Judith L, Lord, Joanne L, Johnson, Kris, Doody, Rachelle S, Villanueva-Meyer, Javier, Chowdhury, Munir, Stern, Yaakov, Honig, Lawrence S, Bell, Karen L, Morris, John C, Ances, Beau, Carroll, Maria, Leon, Sue, Mintun, Mark A, Schneider, Stacy, Marson, Daniel, and Griffith, Randall

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Acquired Cognitive Impairment, Alzheimer's Disease, Brain Disorders, Neurodegenerative, Dementia, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Biomedical Imaging, Neurosciences, Aging, Neurological, Aged, Amyloid beta-Peptides, Aniline Compounds, Atrophy, Biomarkers, Brain, Cognition, Cognitive Dysfunction, Disease Progression, Ethylene Glycols, Female, Fluorodeoxyglucose F18, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Mental Status Schedule, Neuropsychological Tests, Peptide Fragments, Positron-Emission Tomography, Radiopharmaceuticals, Regression Analysis, Alzheimer's Disease Neuroimaging Initiative, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

ObjectiveTo estimate points along the spectrum of β-amyloid pathology at which rates of change of several measures of neuronal injury and cognitive decline begin to accelerate.MethodsIn 460 patients with mild cognitive impairment (MCI), we estimated the points at which rates of florbetapir PET, fluorodeoxyglucose (FDG) PET, MRI, and cognitive and functional decline begin to accelerate with respect to baseline CSF Aβ42. Points of initial acceleration in rates of decline were estimated using mixed-effects regression.ResultsRates of neuronal injury and cognitive and even functional decline accelerate substantially before the conventional threshold for amyloid positivity, with rates of florbetapir PET and FDG PET accelerating early. Temporal lobe atrophy rates also accelerate prior to the threshold, but not before the acceleration of cognitive and functional decline.ConclusionsA considerable proportion of patients with MCI would not meet inclusion criteria for a trial using the current threshold for amyloid positivity, even though on average, they are experiencing cognitive/functional decline associated with prethreshold levels of CSF Aβ42. Future trials in early Alzheimer disease might consider revising the criteria regarding β-amyloid thresholds to include the range of amyloid associated with the first signs of accelerating rates of decline.

Published
2016

10. Better verbal memory in women than men in MCI despite similar levels of hippocampal atrophy

Author

Sundermann, Erin E, Biegon, Anat, Rubin, Leah H, Lipton, Richard B, Mowrey, Wenzhu, Landau, Susan, Maki, Pauline M, Weiner, Michael, Aisen, Paul, Petersen, Ronald, Jack, Clifford R, Jagust, William, Trojanowki, John Q, Toga, Arthur W, Beckett, Laurel, Green, Robert C, Saykin, Andrew J, Morris, John, Liu, Enchi, Montine, Tom, Gamst, Anthony, Thomas, Ronald G, Donohue, Michael, Walter, Sarah, Gessert, Devon, Sather, Tamie, Harvey, Danielle, Kornak, John, Dale, Anders, Bernstein, Matthew, Felmlee, Joel, Fox, Nick, Thompson, Paul, Schuff, Norbert, Alexander, Gene, DeCarli, Charles, Bandy, Dan, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Cairns, Nigel J, Taylor-Reinwald, Lisa, Trojanowki, JQ, Shaw, Les, Lee, Virginia MY, Korecka, Magdalena, Crawford, Karen, Neu, Scott, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Kachaturian, Zaven, Frank, Richard, Snyder, Peter J, Molchan, Susan, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S, Pawluczyk, Sonia, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Heidebrink, Judith L, Lord, Joanne L, Johnson, Kris, Doody, Rachelle S, Villanueva-Meyer, Javier, Chowdhury, Munir, Stern, Yaakov, Honig, Lawrence S, Bell, Karen L, Morris, John C, Ances, Beau, Carroll, Maria, Leon, Sue, Mintun, Mark A, Schneider, Stacy, Marson, Daniel, Griffith, Randall, Clark, David, Grossman, Hillel, and Mitsis, Effie

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Dementia, Basic Behavioral and Social Science, Mental Health, Acquired Cognitive Impairment, Neurodegenerative, Aging, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Brain Disorders, Behavioral and Social Science, Alzheimer's Disease, Clinical Research, 2.1 Biological and endogenous factors, Neurological, Mental health, Aged, Aged, 80 and over, Atrophy, Cognitive Dysfunction, Cross-Sectional Studies, Female, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Memory, Middle Aged, Sex Characteristics, Verbal Learning, Alzheimer's Disease Neuroimaging Initiative, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

ObjectiveTo examine sex differences in the relationship between clinical symptoms related to Alzheimer disease (AD) (verbal memory deficits) and neurodegeneration (hippocampal volume/intracranial volume ratio [HpVR]) across AD stages.MethodsThe sample included 379 healthy participants, 694 participants with amnestic mild cognitive impairment (aMCI), and 235 participants with AD and dementia from the Alzheimer's Disease Neuroimaging Initiative who completed the Rey Auditory Verbal Learning Test (RAVLT). Cross-sectional analyses were conducted using linear regression to examine the interaction between sex and HpVR on RAVLT across and within diagnostic groups adjusting for age, education, and APOE ε4 status.ResultsAcross groups, there were significant sex × HpVR interactions for immediate and delayed recall (p < 0.01). Women outperformed men among individuals with moderate to larger HpVR, but not among individuals with smaller HpVR. In diagnosis-stratified analyses, the HpVR × sex interaction was significant in the aMCI group, but not in the control or AD dementia groups, for immediate and delayed recall (p < 0.01). Among controls, women outperformed men on both outcomes irrespective of HpVR (p < 0.001). In AD dementia, better RAVLT performance was independently associated with female sex (immediate, p = 0.04) and larger HpVR (delayed, p = 0.001).ConclusionWomen showed an advantage in verbal memory despite evidence of moderate hippocampal atrophy. This advantage may represent a sex-specific form of cognitive reserve delaying verbal memory decline until more advanced disease stages.

Published
2016

11. Periventricular hyperintensities are associated with elevated cerebral amyloid

Author

Marnane, Michael, Al-Jawadi, Osama O, Mortazavi, Shervin, Pogorzelec, Kathleen J, Wang, Bing Wei, Feldman, Howard H, Hsiung, Ging-Yuek R, Weiner, Michael, Aisen, Paul, Petersen, Ronald, Jack, Clifford R, Jagust, William, Trojanowki, John Q, Toga, Arthur W, Beckett, Laurel, Green, Robert C, Saykin, Andrew J, Morris, John, Liu, Enchi, Montine, Tom, Gamst, Anthony, Thomas, Ronald G, Donohue, Michael, Walter, Sarah, Gessert, Devon, Sather, Tamie, Harvey, Danielle, Kornak, John, Dale, Anders, Bernstein, Matthew, Felmlee, Joel, Fox, Nick, Thompson, Paul, Schuff, Norbert, Alexander, Gene, DeCarli, Charles, Bandy, Dan, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Cairns, Nigel J, Taylor-Reinwald, Lisa, Trojanowki, JQ, Shaw, Les, Lee, Virginia MY, Korecka, Magdalena, Crawford, Karen, Neu, Scott, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Kachaturian, Zaven, Frank, Richard, Snyder, Peter J, Molchan, Susan, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S, Pawluczyk, Sonia, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Heidebrink, Judith L, Lord, Joanne L, Johnson, Kris, Doody, Rachelle S, Villanueva-Meyer, Javier, Chowdhury, Munir, Stern, Yaakov, Honig, Lawrence S, Bell, Karen L, Morris, John C, Ances, Beau, Carroll, Maria, Leon, Sue, Mintun, Mark A, Schneider, Stacy, Marson, Daniel, Griffith, Randall, Clark, David, Grossman, Hillel, and Mitsis, Effie

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurodegenerative, Neurosciences, Biomedical Imaging, Brain Disorders, Prevention, Acquired Cognitive Impairment, Cerebrovascular, Alzheimer's Disease, Dementia, Vascular Cognitive Impairment/Dementia, Aging, Alzheimer's Disease Related Dementias (ADRD), Clinical Research, 2.1 Biological and endogenous factors, Neurological, Adult, Aged, Aged, 80 and over, Amyloid beta-Peptides, Biomarkers, Cerebral Ventricles, Cognitive Dysfunction, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Positron-Emission Tomography, Prospective Studies, Alzheimer's Disease Neuroimaging Initiative, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

ObjectiveTo investigate the association between periventricular white mater hyperintensities (PVWMH) and biomarkers of elevated cerebral β-amyloid (Aβ) in the Alzheimer's Disease Neuroimaging Initiative, a large prospective multicenter observational study.MethodsThe burden of frontal, parietal, and occipital PVWMH on 3T fluid-attenuated inversion recovery MRI was evaluated in 698 cognitively normal participants and participants with mild cognitive impairment (MCI) using a novel semiquantitative visual rating scale. Results were correlated with CSF-Aβ, florbetapir-PET, and fluorodeoxyglucose (FDG)-PET.ResultsIncreased burden of parietal, occipital, and frontal PVWMH was associated with elevated cerebral amyloid evidenced by high florbetapir-PET signal (p < 0.01) and low CSF-Aβ (p < 0.01). In logistic regression models, including PVWMH, age, sex, APOE status, vascular risk factors, pulse pressure, vascular secondary prevention medications, education, ethnicity, and race, parietal, occipital, and frontal PVWMH burden was independently associated with high florbetapir-PET uptake (p < 0.05). In a similar logistic regression model, parietal and occipital (p < 0.05) but not frontal (p = 0.05) PVWMH were independently associated with CSF-Aβ. Weaker associations were found between parieto-occipital PVWMH and elevated CSF-tau (p < 0.05) and occipital PVWMH and elevated CSF-phospho-tau (p < 0.05). PVWMH were associated with cerebral hypometabolism on FDG-PET independent of CSF-Aβ levels (p < 0.05). Absolute and consistency of agreement intraclass correlation coefficients were, respectively, 0.83 and 0.83 for frontal, 0.78 and 0.8 for parietal, and 0.45 and 0.75 for occipital PVWMH measurements.ConclusionsIncreased PVWMH were associated with elevated cerebral amyloid independent of potential confounders such as age, APOE genotype, and vascular risk factors. The mechanisms underlying the association between PVWMH and cerebral amyloid remain to be clarified.

Published
2016

12. Memory, executive, and multidomain subtle cognitive impairment

Author

Toledo, Jon B, Bjerke, Maria, Chen, Kewei, Rozycki, Martin, Jack, Clifford R, Weiner, Michael W, Arnold, Steven E, Reiman, Eric M, Davatzikos, Christos, Shaw, Leslie M, Trojanowski, John Q, Weiner, Michael, Aisen, Paul, Petersen, Ronald, Jagust, William, Trojanowki, John Q, Toga, Arthur W, Beckett, Laurel, Green, Robert C, Saykin, Andrew J, Morris, John, Liu, Enchi, Montine, Tom, Gamst, Anthony, Thomas, Ronald G, Donohue, Michael, Walter, Sarah, Gessert, Devon, Sather, Tamie, Harvey, Danielle, Kornak, John, Dale, Anders, Bernstein, Matthew, Felmlee, Joel, Fox, Nick, Thompson, Paul, Schuff, Norbert, Alexander, Gene, DeCarli, Charles, Bandy, Dan, Koeppe, Robert A, Foster, Norm, Mathis, Chet, Cairns, Nigel J, Taylor-Reinwald, Lisa, Trojanowki, JQ, Shaw, Les, Lee, Virginia MY, Korecka, Magdalena, Crawford, Karen, Neu, Scott, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Kachaturian, Zaven, Frank, Richard, Snyder, Peter J, Molchan, Susan, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S, Pawluczyk, Sonia, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Heidebrink, Judith L, Lord, Joanne L, Johnson, Kris, Doody, Rachelle S, Villanueva-Meyer, Javier, Chowdhury, Munir, Stern, Yaakov, Honig, Lawrence S, Bell, Karen L, Morris, John C, Ances, Beau, Leon, Sue, Schneider, Stacy, Marson, Daniel, Griffith, Randall, and Clark, David

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurodegenerative, Biomedical Imaging, Brain Disorders, Prevention, Acquired Cognitive Impairment, Alzheimer's Disease, Dementia, Aging, Behavioral and Social Science, Clinical Research, 4.1 Discovery and preclinical testing of markers and technologies, 2.1 Biological and endogenous factors, 4.2 Evaluation of markers and technologies, Mental health, Neurological, Aged, Aged, 80 and over, Alzheimer Disease, Biomarkers, Brain, Cognition Disorders, Cognitive Dysfunction, Disease Progression, Executive Function, Female, Humans, Magnetic Resonance Imaging, Male, Memory Disorders, Multimodal Imaging, Positron-Emission Tomography, Alzheimer's Disease Neuroimaging Initiative, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

ObjectiveWe studied the biomarker signatures and prognoses of 3 different subtle cognitive impairment (SCI) groups (executive, memory, and multidomain) as well as the subjective memory complaints (SMC) group.MethodsWe studied 522 healthy controls in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Cutoffs for executive, memory, and multidomain SCI were defined using participants who remained cognitively normal (CN) for 7 years. CSF Alzheimer disease (AD) biomarkers, composite and region-of-interest (ROI) MRI, and fluorodeoxyglucose-PET measures were compared in these participants.ResultsUsing a stringent cutoff (fifth percentile), 27.6% of the ADNI participants were classified as SCI. Most single ROI or global-based measures were not sensitive to detect differences between groups. Only MRI-SPARE-AD (Spatial Pattern of Abnormalities for Recognition of Early AD), a quantitative MRI pattern-based global index, showed differences between all groups, excluding the executive SCI group. Atrophy patterns differed in memory SCI and SMC. The CN and the SMC groups presented a similar distribution of preclinical dementia stages. Fifty percent of the participants with executive, memory, and multidomain SCI progressed to mild cognitive impairment or dementia at 7, 5, and 2 years, respectively.ConclusionsOur results indicate that (1) the different SCI categories have different clinical prognoses and biomarker signatures, (2) longitudinally followed CN subjects are needed to establish clinical cutoffs, (3) subjects with SMC show a frontal pattern of brain atrophy, and (4) pattern-based analyses outperform commonly used single ROI-based neuroimaging biomarkers and are needed to detect initial stages of cognitive impairment.

Published
2015

13. Brain structure and function as mediators of the effects of amyloid on memory

Author

Mattsson, Niklas, Insel, Philip S, Aisen, Paul S, Jagust, William, Mackin, Scott, Weiner, Michael, Aisen, Paul, Petersen, Ronald, Jack, Clifford R, Trojanowki, John Q, Toga, Arthur W, Beckett, Laurel, Green, Robert C, Saykin, Andrew J, Morris, John, Liu, Enchi, Montine, Tom, Gamst, Anthony, Thomas, Ronald G, Donohue, Michael, Walter, Sarah, Gessert, Devon, Sather, Tamie, Harvey, Danielle, Kornak, John, Dale, Anders, Bernstein, Matthew, Felmlee, Joel, Fox, Nick, Thompson, Paul, Schuff, Norbert, Alexander, Gene, DeCarli, Charles, Bandy, Dan, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Cairns, Nigel J, Taylor-Reinwald, Lisa, Trojanowki, JQ, Shaw, Les, Lee, Virginia MY, Korecka, Magdalena, Crawford, Karen, Neu, Scott, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Kachaturian, Zaven, Frank, Richard, Snyder, Peter J, Molchan, Susan, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S, Pawluczyk, Sonia, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Heidebrink, Judith L, Lord, Joanne L, Johnson, Kris, Doody, Rachelle S, Villanueva-Meyer, Javier, Chowdhury, Munir, Stern, Yaakov, Honig, Lawrence S, Bell, Karen L, Morris, John C, Ances, Beau, Carroll, Maria, Leon, Sue, Mintun, Mark A, Schneider, Stacy, Marson, Daniel, Griffith, Randall, Clark, David, Grossman, Hillel, Mitsis, Effie, and Romirowsky, Aliza

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Dementia, Acquired Cognitive Impairment, Neurodegenerative, Aging, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Brain Disorders, Alzheimer's Disease, Biomedical Imaging, 2.1 Biological and endogenous factors, Neurological, Mental health, Aged, Aged, 80 and over, Amyloid beta-Peptides, Brain, Cohort Studies, Female, Follow-Up Studies, Humans, Male, Memory, Episodic, Middle Aged, Prospective Studies, Radionuclide Imaging, Alzheimer's Disease Neuroimaging Initiative, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

ObjectiveThe objective of this study was to test whether effects of β-amyloid (Aβ) pathology on episodic memory were mediated by metabolism and gray matter volume in the early stages of Alzheimer disease.MethodsThis was a prospective cohort study. We measured baseline Aβ (using florbetapir-PET), brain function (using fluorodeoxyglucose-PET), and brain structure (using MRI). A mediation analysis was performed to test whether statistical effects of Aβ positivity on cross-sectional and longitudinal episodic memory were mediated by hypometabolism or regional gray matter volume in cognitively healthy controls (CN, n = 280) and mild cognitive impairment (MCI, n = 463).ResultsLower memory scores were associated with Aβ positivity (CN, mildly; MCI, strongly), smaller gray matter volumes (CN, few regions, including hippocampus; MCI, widespread), and hypometabolism. Smaller volumes and hypometabolism mediated effects of Aβ in MCI but not in CN. The strongest individual regions mediated up to approximately 25%. A combination of brain structure and function mediated up to approximately 40%. In several regions, gray matter atrophy and hypometabolism predicted episodic memory without being associated (at p < 0.05) with Aβ positivity.ConclusionsChanges in brain structure and function appear to be, in part, downstream events from Aβ pathology, ultimately resulting in episodic memory deficits. However, Aβ pathology is also strongly related to memory deficits through mechanisms that are not quantified by these imaging measurements, and episodic memory decline is partly caused by Alzheimer disease-like brain changes independently of Aβ pathology.

Published
2015

14. Brain amyloidosis ascertainment from cognitive, imaging, and peripheral blood protein measures

Author

Apostolova, Liana G, Hwang, Kristy S, Avila, David, Elashoff, David, Kohannim, Omid, Teng, Edmond, Sokolow, Sophie, Jack, Clifford R, Jagust, William J, Shaw, Leslie, Trojanowski, John Q, Weiner, Michael W, Thompson, Paul M, Weiner, Michael, Aisen, Paul, Petersen, Ronald, Jagust, Wiliam, Trojanowki, JQ, Toga, Arthur W, Beckett, Laurel, Green, Robert C, Gamst, Anthony, Sakin, Andrew J, Morris, John, Potter, William Z, Montine, Tom, Donohue, Michael, Walter, Sarah, Dale, Anders, Bernstein, Matthew, Felmlee, Joel, Fox, Nick, Thompson, Paul, Schuff, Norbert, Alexander, Gene, DeCarli, Charles, Bandy, Dan, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Cairns, Nigel J, Taylor-Reinwald, Lisa, Shaw, Lee, Lee, Virginia M-Y, Korecka, Magdalena, Crawford, Karen, Neu, Scott, Harvey, Danielle, Kornak, John, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Kachaturian, Zaven, Frank, Richard, Snyder, Peter J, Molchan, Susan, Kaye, Jeffrey, Dolen, Sara, Quinn, Joseph, Schneider, Lon, Pawluczyk, Sonia, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Heidebrink, Judith L, Lord, Joanne L, Johnson, Kris, Doody, Rachelle S, Villanueva-Meyer, Javier, Chowdhury, Munir, Stern, Yaakov, Honig, Lawrence S, Bell, Karen L, Mintun, Mark A, Schneider, Stacy, Marson, Daniel, Griffith, Randall, Clark, David, Grossman, Hillel, Tang, Cheuk, Marzloff, George, deToledo-Morrell, Leyla, Shah, Raj C, Duara, Ranjan, Varon, Daniel, Robers, Peggy, Albert, Marilyn S, Kozauer, Nicholas, Zerrate, Maria, Rusinek, Henry, de Leon, Mony J, De Santi, Susan M, Doraiswamy, P Murali, Petrella, Jeffrey R, Aiello, Marilyn, Arnold, Steve, and Karlawish, Jason H

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Dementia, Acquired Cognitive Impairment, Neurodegenerative, Behavioral and Social Science, Clinical Research, Brain Disorders, Aging, Biomedical Imaging, Clinical Trials and Supportive Activities, Alzheimer's Disease, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), 4.1 Discovery and preclinical testing of markers and technologies, 4.2 Evaluation of markers and technologies, Neurological, Aged, Algorithms, Alzheimer Disease, Amyloid beta-Peptides, Amyloidosis, Aniline Compounds, Biomarkers, Brain, Cognition, Cognitive Dysfunction, Cohort Studies, Databases, Factual, Disease Progression, Female, Humans, Male, Neuropsychological Tests, Pattern Recognition, Automated, Peptide Fragments, Positron-Emission Tomography, Sensitivity and Specificity, Thiazoles, Alzheimer's Disease Neuroimaging Initiative, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

BackgroundThe goal of this study was to identify a clinical biomarker signature of brain amyloidosis in the Alzheimer's Disease Neuroimaging Initiative 1 (ADNI1) mild cognitive impairment (MCI) cohort.MethodsWe developed a multimodal biomarker classifier for predicting brain amyloidosis using cognitive, imaging, and peripheral blood protein ADNI1 MCI data. We used CSF β-amyloid 1-42 (Aβ42) ≤ 192 pg/mL as proxy measure for Pittsburgh compound B (PiB)-PET standard uptake value ratio ≥ 1.5. We trained our classifier in the subcohort with CSF Aβ42 but no PiB-PET data and tested its performance in the subcohort with PiB-PET but no CSF Aβ42 data. We also examined the utility of our biomarker signature for predicting disease progression from MCI to Alzheimer dementia.ResultsThe CSF training classifier selected Mini-Mental State Examination, Trails B, Auditory Verbal Learning Test delayed recall, education, APOE genotype, interleukin 6 receptor, clusterin, and ApoE protein, and achieved leave-one-out accuracy of 85% (area under the curve [AUC] = 0.8). The PiB testing classifier achieved an AUC of 0.72, and when classifier self-tuning was allowed, AUC = 0.74. The 36-month disease-progression classifier achieved AUC = 0.75 and accuracy = 71%.ConclusionsAutomated classifiers based on cognitive and peripheral blood protein variables can identify the presence of brain amyloidosis with a modest level of accuracy. Such methods could have implications for clinical trial design and enrollment in the near future.Classification of evidenceThis study provides Class II evidence that a classification algorithm based on cognitive, imaging, and peripheral blood protein measures identifies patients with brain amyloid on PiB-PET with moderate accuracy (sensitivity 68%, specificity 78%).

Published
2015

15. Mild cognitive impairment with suspected nonamyloid pathology (SNAP)

Author

Caroli, Anna, Prestia, Annapaola, Galluzzi, Samantha, Ferrari, Clarissa, van der Flier, Wiesje M, Ossenkoppele, Rik, Van Berckel, Bart, Barkhof, Frederik, Teunissen, Charlotte, Wall, Anders E, Carter, Stephen F, Schöll, Michael, Choo, Il Han, Grimmer, Timo, Redolfi, Alberto, Nordberg, Agneta, Scheltens, Philip, Drzezga, Alexander, Frisoni, Giovanni B, Weiner, Michael, Aisen, Paul, Petersen, Ronald, Jack, Clifford R, Jagust, William, Trojanowki, JQ, Toga, Arthur W, Beckett, Laurel, Green, Robert C, Gamst, Anthony, Saykin, Andrew J, Morris, John, Potter, William Z, Montine, Tom, Thomas, Ronald G, Donohue, Michael, Walter, Sarah, Dale, Anders, Bernstein, Matthew, Felmlee, Joel, Fox, Nick, Thompson, Paul, Schuff, Norbert, Alexander, Gene, DeCarli, Charles, Bandy, Dan, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Cairns, Nigel J, Taylor-Reinwald, Lisa, Shaw, Les, Lee, Virginia M-Y, Korecka, Magdalena, Crawford, Karen, Neu, Scott, Harvey, Danielle, Kornak, John, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Kachaturian, Zaven, Frank, Richard, Snyder, Peter J, Molchan, Susan, Kaye, Jeffrey, Dolen, Sara, Quinn, Joseph, Schneider, Lon, Pawluczyk, Sonia, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Heidebrink, Judith L, Lord, Joanne L, Johnson, Kris, Doody, Rachelle S, Villanueva-Meyer, Javier, Chowdhury, Munir, Stern, Yaakov, Honig, Lawrence S, Bell, Karen L, Morris, John C, and Mintun, Mark A

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Neurodegenerative, Brain Disorders, Alzheimer's Disease, Vascular Cognitive Impairment/Dementia, Acquired Cognitive Impairment, Neurosciences, Aging, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Cerebrovascular, Alzheimer's Disease Related Dementias (ADRD), Dementia, Clinical Research, 2.1 Biological and endogenous factors, 4.2 Evaluation of markers and technologies, 4.1 Discovery and preclinical testing of markers and technologies, Neurological, Aged, Aged, 80 and over, Cognitive Dysfunction, Databases, Factual, Disease Progression, Female, Follow-Up Studies, Humans, Male, Middle Aged, Neurodegenerative Diseases, Plaque, Amyloid, Predictive Value of Tests, Alzheimer's Disease Neuroimaging Initiative, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

ObjectivesThe aim of this study was to investigate predictors of progressive cognitive deterioration in patients with suspected non-Alzheimer disease pathology (SNAP) and mild cognitive impairment (MCI).MethodsWe measured markers of amyloid pathology (CSF β-amyloid 42) and neurodegeneration (hippocampal volume on MRI and cortical metabolism on [(18)F]-fluorodeoxyglucose-PET) in 201 patients with MCI clinically followed for up to 6 years to detect progressive cognitive deterioration. We categorized patients with MCI as A+/A- and N+/N- based on presence/absence of amyloid pathology and neurodegeneration. SNAPs were A-N+ cases.ResultsThe proportion of progressors was 11% (8/41), 34% (14/41), 56% (19/34), and 71% (60/85) in A-N-, A+N-, SNAP, and A+N+, respectively; the proportion of APOE ε4 carriers was 29%, 70%, 31%, and 71%, respectively, with the SNAP group featuring a significantly different proportion than both A+N- and A+N+ groups (p ≤ 0.005). Hypometabolism in SNAP patients was comparable to A+N+ patients (p = 0.154), while hippocampal atrophy was more severe in SNAP patients (p = 0.002). Compared with A-N-, SNAP and A+N+ patients had significant risk of progressive cognitive deterioration (hazard ratio = 2.7 and 3.8, p = 0.016 and p < 0.001), while A+N- patients did not (hazard ratio = 1.13, p = 0.771). In A+N- and A+N+ groups, none of the biomarkers predicted time to progression. In the SNAP group, lower time to progression was correlated with greater hypometabolism (r = 0.42, p = 0.073).ConclusionsOur findings support the notion that patients with SNAP MCI feature a specific risk progression profile.

Published
2015

16. Vascular burden and Alzheimer disease pathologic progression

Author

Lo, Raymond Y, Jagust, William J, Weiner, Michael, Aisen, Paul, Petersen, Ronald, Jack, Clifford R, Jagust, William, Trojanowki, John Q, Toga, Arthur W, Beckett, Laurel, Green, Robert C, Saykin, Andrew J, Morris, John, Liu, Enchi, Montine, Tom, Gamst, Anthony, Thomas, Ronald G, Donohue, Michael, Walter, Sarah, Gessert, Devon, Sather, Tamie, Harvey, Danielle, Kornak, John, Dale, Anders, Bernstein, Matthew, Felmlee, Joel, Fox, Nick, Thompson, Paul, Schuff, Norbert, Alexander, Gene, DeCarli, Charles, Bandy, Dan, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Cairns, Nigel J, Taylor-Reinwald, Lisa, Trojanowki, JQ, Shaw, Les, Lee, Virginia MY, Korecka, Magdalena, Crawford, Karen, Neu, Scott, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Kachaturian, Zaven, Frank, Richard, Snyder, Peter J, Molchan, Susan, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S, Pawluczyk, Sonia, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Heidebrink, Judith L, Lord, Joanne L, Johnson, Kris, Doody, Rachelle S, Villanueva-Meyer, Javier, Chowdhury, Munir, Stern, Yaakov, Honig, Lawrence S, Bell, Karen L, Morris, John C, Ances, Beau, Carroll, Maria, Leon, Sue, Mintun, Mark A, Schneider, Stacy, Marson, Daniel, Griffith, Randall, Clark, David, Grossman, Hillel, Mitsis, Effie, Romirowsky, Aliza, deToledo-Morrell, Leyla, Shah, Raj C, Duara, Ranjan, and Varon, Daniel

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Acquired Cognitive Impairment, Alzheimer's Disease, Neurosciences, Brain Disorders, Dementia, Neurodegenerative, Behavioral and Social Science, Cardiovascular, Alzheimer's Disease Related Dementias (ADRD), Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Biomedical Imaging, Prevention, Vascular Cognitive Impairment/Dementia, Cerebrovascular, Aging, 4.1 Discovery and preclinical testing of markers and technologies, 2.1 Biological and endogenous factors, Neurological, Aged, Alzheimer Disease, Atrophy, Brain, Cognitive Dysfunction, Disease Progression, Female, Genotype, Humans, Leukoencephalopathies, Longitudinal Studies, Magnetic Resonance Imaging, Male, Positron-Emission Tomography, Alzheimer's Disease Neuroimaging Initiative, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

ObjectiveTo investigate the vascular contribution to longitudinal changes in Alzheimer disease (AD) biomarkers.MethodsThe Alzheimer's Disease Neuroimaging Initiative is a clinic based, longitudinal study with CSF, PET, and MRI biomarkers repeatedly measured in participants with normal cognition (NC), mild cognitive impairment (MCI), and mild AD. Participants with severe cerebrovascular risks were excluded. Cardiovascular risk scores and MRI white matter hyperintensities (WMHs) were treated as surrogate markers for vascular burden. Generalized estimating equations were applied, and both vascular burden and its interaction with time (vascular burden × time) or time-varying WMHs were entered into regression models to assess whether biomarker rates of change were modified by vascular burden.ResultsCardiovascular risk profiles were not predictive of progression in CSF β₄₂-amyloid, [¹⁸F]fluorodeoxyglucose (FDG) PET uptake, and MRI hippocampal atrophy. Greater baseline cardiovascular risks or WMHs were generally associated with cognitive impairment, particularly poor executive function. WMHs increased over time with a faster rate in MCI and AD than in NC. Increased time-varying WMH was associated with faster decline in executive function and lower FDG uptake in NC. Otherwise, WMH was not associated with CSF and MRI biomarkers in the 3 groups. These findings remained unchanged after accounting for APOE4.ConclusionIncreased WMHs are associated with aging, decreased glucose metabolism, and decline in executive function but do not affect AD-specific pathologic progression, suggesting that the vascular contribution to dementia is probably additive although not necessarily independent of the amyloid pathway.

Published
2012

17. KL-VS heterozygosity is associated with lower amyloid-dependent tau accumulation and memory impairment in Alzheimer’s disease

Author

Neitzel, Julia, Franzmeier, Nicolai, Petersen, Ronald, Clark, David, Geldmacher, David, Brockington, John, Roberson, Erik, Grossman, Hillel, Mitsis, Effie, deToledo-Morrell, Leyla, Shah, Raj C, Duara, Ranjan, Varon, Daniel, Jack, Clifford R, Greig, Maria T, Roberts, Peggy, Albert, Marilyn, Onyike, Chiadi, D'Agostino, Daniel, Kielb, Stephanie, Galvin, James E, Pogorelec, Dana M, Cerbone, Brittany, Michel, Christina A, Jagust, William, Rusinek, Henry, de Leon, Mony J, Glodzik, Lidia, De Santi, Susan, Doraiswamy, P Murali, Petrella, Jeffrey R, Wong, Terence Z, Arnold, Steven E, Karlawish, Jason H, Wolk, David, Trojanowki, John Q, Smith, Charles D, Jicha, Greg, Hardy, Peter, Sinha, Partha, Oates, Elizabeth, Conrad, Gary, Lopez, Oscar L, Oakley, MaryAnn, Simpson, Donna M, Porsteinsson, Anton P, Toga, Arthur W, Goldstein, Bonnie S, Martin, Kim, Makino, Kelly M, Ismail, Muhammad, Brand, Connie, Mulnard, Ruth A, Thai, Gaby, Mc Adams Ortiz, Catherine, Womack, Kyle, Mathews, Dana, Beckett, Laurel, Quiceno, Mary, Arrastia, Ramon Diaz, King, Richard, Weiner, Myron, Cook, Kristen Martin, DeVous, Michael, Levey, Allan I, Lah, James J, Cellar, Janet S, Burns, Jeffrey M, Green, Robert C, Anderson, Heather S, Swerdlow, Russell H, Apostolova, Liana, Tingus, Kathleen, Woo, Ellen, Silverman, Daniel H S, Lu, Po H, Bartzokis, George, Radford, Neill R Graff, ParfittH, Francine, Saykin, Andrew J, Kendall, Tracy, Johnson, Heather, Farlow, Martin R, Hake, Ann Marie, Matthews, Brandy R, Herring, Scott, Hunt, Cynthia, van Dyck, Christopher H, Carson, Richard E, MacAvoy, Martha G, Morris, John, Chertkow, Howard, Bergman, Howard, Hosein, Chris, Black, Sandra, Stefanovic, Bojana, Caldwell, Curtis, Hsiung, Ging Yuek Robin, Feldman, Howard, Mudge, Benita, Past, Michele Assaly, Shaw, Leslie, Kertesz, Andrew, Rogers, John, Trost, Dick, Bernick, Charles, Munic, Donna, Kerwin, Diana, Mesulam, Marek Marsel, Lipowski, Kristine, Wu, Chuang Kuo, Johnson, Nancy, Rubinski, Anna, Liu, Enchi, Sadowsky, Carl, Martinez, Walter, Villena, Teresa, Turner, Raymond Scott, Johnson, Kathleen, Reynolds, Brigid, Sperling, Reisa A, Johnson, Keith A, Marshall, Gad, Frey, Meghan, Montine, Tom, Yesavage, Jerome, Taylor, Joy L, Lane, Barton, Rosen, Allyson, Tinklenberg, Jared, Sabbagh, Marwan N, Belden, Christine M, Jacobson, Sandra A, Sirrel, Sherye A, Kowall, Neil, Thomas, Ronald G, Killiany, Ronald, Budson, Andrew E, Norbash, Alexander, Johnson, Patricia Lynn, Obisesan, Thomas O, Wolday, Saba, Allard, Joanne, Lerner, Alan, Ogrocki, Paula, Hudson, Leon, Donohue, Michael, Fletcher, Evan, Carmichael, Owen, Olichney, John, DeCarli, Charles, Kittur, Smita, Borrie, Michael, Lee, T. Y., Bartha, Rob, Johnson, Sterling, Asthana, Sanjay, Walter, Sarah, Carlsson, Cynthia M, Potkin, Steven G, Preda, Adrian, Nguyen, Dana, Tariot, Pierre, Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Scharre, Douglas W, Gessert, Devon, Kataki, Maria, Adeli, Anahita, Zimmerman, Earl A, Celmins, Dzintra, Brown, Alice D, Pearlson, Godfrey D, Blank, Karen, Anderson, Karen, Santulli, Robert B, Kitzmiller, Tamar J, Sather, Tamie, Schwartz, Eben S, SinkS, Kaycee M, Williamson, Jeff D, Garg, Pradeep, Watkins, Franklin, Ott, Brian R, Querfurth, Henry, Tremont, Geoffrey, Salloway, Stephen, Malloy, Paul, Jiminez, Gus, Correia, Stephen, Rosen, Howard J, Miller, Bruce L, Mintzer, Jacobo, Spicer, Kenneth, Bachman, David, Finger, Elizabether, Pasternak, Stephen, Rachinsky, Irina, Drost, Dick, Harvey, Danielle, Pomara, Nunzio, Hernando, Raymundo, Sarrael, Antero, Schultz, Susan K, Ponto, Laura L Boles, Shim, Hyungsub, Smith, Karen Elizabeth, Relkin, Norman, Chaing, Gloria, Raudin, Lisa, Bernstein, Matthew, Smith, Amanda, Fargher, Kristin, Raj, Balebail Ashok, Dichgans, Martin, Fox, Nick, Thompson, Paul, Schuff, Norbert, DeCArli, Charles, Borowski, Bret, Gunter, Jeff, Senjem, Matt, Vemuri, Prashanthi, Jones, David, Kantarci, Kejal, Brendel, Matthias, Ward, Chad, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Landau, Susan, Cairns, Nigel J, Householder, Erin, Reinwald, Lisa Taylor, Initiative, Alzheimer’s Disease Neuroimaging, Lee, Virginia, Korecka, Magdalena, Figurski, Michal, Crawford, Karen, Neu, Scott, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Kelley, Faber, Kim, Sungeun, Malik, Rainer, Nho, Kwangsik, Kachaturian, Zaven, Frank, Richard, Snyder, Peter J, Molchan, Susan, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Carter, Raina, Dolen, Sara, Ewers, Michael, Schneider, Lon S, Pawluczyk, Sonia, Beccera, Mauricio, Teodoro, Liberty, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Fleisher, Adam, Heidebrink, Judith L, Lord, Joanne L, Weiner, Michael, Mason, Sara S, Albers, Colleen S, Knopman, David S, Johnson, Kris, Doody, Rachelle S, Meyer, Javier Villanueva, Chowdhury, Munir, Rountree, Susan, Dang, Mimi, Stern, Yaakov, Aisen, Paul, Honig, Lawrence S, Bell, Karen L, Ances, Beau, Morris, John C, Carroll, Maria, Leon, Sue, Mintun, Mark A, Schneider, Stacy, OliverNG, Angela, Griffith, Randall, Radiology & Nuclear Medicine, and Epidemiology

Subjects
Male, Heterozygote, metabolism [Amyloid beta-Peptides], Molecular imaging, Gene Expression, genetics [Alzheimer Disease], klotho protein, tau Proteins, Polymorphism, Single Nucleotide, Article, metabolism [Apolipoproteins E], Apolipoproteins E, genetics [Memory Disorders], Alzheimer Disease, mental disorders, Humans, metabolism [Glucuronidase], diagnostic imaging [Brain], Klotho Proteins, Aged, Glucuronidase, Memory Disorders, Amyloid beta-Peptides, genetics [Glucuronidase], methods [Positron-Emission Tomography], metabolism [Memory Disorders], Brain, Alzheimer's disease, Middle Aged, metabolism [tau Proteins], Haplotypes, metabolism [Brain], Positron-Emission Tomography, genetics [Apolipoproteins E], Dementia, Female, ddc:500, metabolism [Alzheimer Disease], Protein Binding
Abstract

Klotho-VS heterozygosity (KL-VShet) is associated with reduced risk of Alzheimer’s disease (AD). However, whether KL-VShet is associated with lower levels of pathologic tau, i.e., the key AD pathology driving neurodegeneration and cognitive decline, is unknown. Here, we assessed the interaction between KL-VShet and levels of beta-amyloid, a key driver of tau pathology, on the levels of PET-assessed neurofibrillary tau in 551 controls and patients across the AD continuum. KL-VShet showed lower cross-sectional and longitudinal increase in tau-PET per unit increase in amyloid-PET when compared to that of non-carriers. This association of KL-VShet on tau-PET was stronger in Klotho mRNA-expressing brain regions mapped onto a gene expression atlas. KL-VShet was related to better memory functions in amyloid-positive participants and this association was mediated by lower tau-PET. Amyloid-PET levels did not differ between KL-VShet carriers versus non-carriers. Together, our findings provide evidence to suggest a protective role of KL-VShet against amyloid-related tau pathology and tau-related memory impairments in elderly humans at risk of AD dementia., The KL-VS haplotype of the Klotho gene has been associated with reduced risk of Alzheimer’s disease and dementia. Here the authors show an association between the KL-VS haplotype and amyloid-dependent tau accumulation using PET data.

Published
2021
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18. Higher CSF sTREM2 attenuates ApoE4-related risk for cognitive decline and neurodegeneration

Author

Franzmeier, Nicolai, Suárez-Calvet, M., Kleinberger, Gernot, Doraiswamy, P Murali, Petrella, Jeffrey R, Arnold, Steven E, Karlawish, Jason H, Wolk, David, Smith, Charles D, Jicha, Greg, Hardy, Peter, Lopez, Oscar L, Oakley, Mary Ann, Haass, Christian, Simpson, Donna M, Ismail, M Saleem, Brand, Connie, Mulnard, Ruth A, Thai, Gaby, Mc-Adams-Ortiz, Catherine, Diaz-Arrastia, Ramon, Martin-Cook, Kristen, DeVous, Michael, Levey, Allan I, Ewers, Michael, Lah, James J, Cellar, Janet S, Burns, Jeffrey M, Anderson, Heather S, Swerdlow, Russell H, Bartzokis, George, Silverman, Daniel H S, Lu, Po H, Apostolova, Liana, Graff-Radford, Neill R, Initiative, Alzheimer’s Disease Neuroimaging, Parfitt, Francine, Johnson, Heather, Farlow, Martin, Herring, Scott, Hake, Ann M, van Dyck, Christopher H, Carson, Richard E, MacAvoy, Martha G, Chertkow, Howard, Bergman, Howard, Weiner, Michael, Hosein, Chris, Black, Sandra, Stefanovic, Bojana, Caldwell, Curtis, Hsiung, Ging-Yuek Robin, Feldman, Howard, Assaly, Michele, Kertesz, Andrew, Rogers, John, Trost, Dick, Aisen, Paul, Bernick, Charles, Munic, Donna, Wu, Chuang-Kuo, Johnson, Nancy, Mesulam, Marsel, Sadowsky, Carl, Martinez, Walter, Villena, Teresa, Turner, Raymond Scott, Johnson, Kathleen, Novak, Gerald, Reynolds, Brigid, Sperling, Reisa A, Frey, Meghan, Johnson, Keith A, Rosen, Allyson, Tinklenberg, Jared, Ashford, Wes, Sabbagh, Marwan, Belden, Christine, Jacobson, Sandra, Green, Robert C, Killiany, Ronald, Norbash, Alexander, Nair, Anil, Obisesan, Thomas O, Wolday, Saba, Bwayo, Salome K, Lerner, Alan, Hudson, Leon, Ogrocki, Paula, Fletcher, Evan, Montine, Tom, Carmichael, Owen, Kittur, Smita, Borrie, Michael, Lee, T-Y, Bartha, Rob, Johnson, Sterling, Asthana, Sanjay, Carlsson, Cynthia M, Potkin, Steven G, Preda, Adrian, Petersen, Ronald, Nguyen, Dana, Tariot, Pierre, Fleisher, Adam, Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Hendin, Barry A, Scharre, Douglas W, Kataki, Maria, Frontzkowski, Lukas, Gamst, Anthony, Zimmerman, Earl A, Celmins, Dzintra, Brown, Alice D, Hosp, Hartford, Pearlson, Godfrey D, Blank, Karen, Anderson, Karen, Santulli, Robert B, Schwartz, Eben S, Williamson, Jeff D, Thomas, Ronald G, Sink, Kaycee M, Watkins, Franklin, Ott, Brian R, Querfurth, Henry, Tremont, Geoffrey, Salloway, Stephen, Malloy, Paul, Correia, Stephen, Rosen, Howard J, Miller, Bruce L, Donohue, Michael, Mintzer, Jacobo, Longmire, Crystal Flynn, Spicer, Kenneth, Walter, Sarah, Gessert, Devon, Sather, Tamie, Beckett, Laurel, Harvey, Danielle, Kornak, John, Jack, Clifford R, Moore, Annah, Dale, Anders, Bernstein, Matthew, Felmlee, Joel, Fox, Nick, Thompson, Paul, Schuff, Norbert, Alexander, Gene, DeCarli, Charles, Jagust, William, Bandy, Dan, Hohman, Timothy J, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Morris, John, Cairns, Nigel J, Taylor-Reinwald, Lisa, Trojanowki, J. Q., Shaw, Les, Morenas-Rodriguez, Estrella, Lee, Virginia M Y, Korecka, Magdalena, Toga, Arthur W, Crawford, Karen, Neu, Scott, Saykin, Andrew J, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Kachaturian, Zaven, Nuscher, Brigitte, Frank, Richard, Snyder, Peter J, Molchan, Susan, Kaye, Jeffrey, Dolen, Sara, Quinn, Joseph, Schneider, Lon S, Pawluczyk, Sonia, Spann, Bryan M, Brewer, James, Shaw, Leslie, Vanderswag, Helen, Heidebrink, Judith L, Lord, Joanne L, Johnson, Kris, Doody, Rachelle S, Villanueva-Meyer, Javier, Chowdhury, Munir, Stern, Yaakov, Honig, Lawrence S, Bell, Karen L, Trojanowski, John Q, Morris, John C, Mintun, Mark A, Schneider, Stacy, Marson, Daniel, Griffith, Randall, Clark, David, Grossman, Hillel, Mitsis, Effie, Romirowsky, Aliza, deToledo-Morrell, Leyla, Dichgans, Martin, Shah, Raj C, Duara, Ranjan, Varon, Daniel, Roberts, Peggy, Albert, Marilyn, Onyike, Chiadi, Kielb, Stephanie, Rusinek, Henry, de Leon, Mony J, and Glodzik, Lidia

Subjects
Male, Aging, pathology [Cognitive Dysfunction], Apolipoprotein E4, Cognitive decline, genetics [Alzheimer Disease], Neurodegenerative, lcsh:Geriatrics, Alzheimer's Disease, lcsh:RC346-429, pathology [Alzheimer Disease], Immunologic, Receptors, 80 and over, 2.1 Biological and endogenous factors, sTREM2, Microglial activation, Aetiology, Receptors, Immunologic, genetics [Apolipoprotein E4], Aged, 80 and over, Membrane Glycoproteins, pathology [Nerve Degeneration], cerebrospinal fluid [Alzheimer Disease], cerebrospinal fluid [Cognitive Dysfunction], Neurological, Female, cerebrospinal fluid [Membrane Glycoproteins], Alzheimer’s disease, Research Article, Clinical Sciences, ApoE4, Clinical Research, Alzheimer Disease, ddc:570, Acquired Cognitive Impairment, Genetics, Humans, Cognitive Dysfunction, Genetic Predisposition to Disease, Neurodegeneration, lcsh:Neurology. Diseases of the nervous system, Aged, Neurology & Neurosurgery, Neurosciences, genetics [Cognitive Dysfunction], Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Alzheimer’s Disease Neuroimaging Initiative, Brain Disorders, lcsh:RC952-954.6, Nerve Degeneration, Dementia
Abstract

Background The Apolipoprotein E ε4 allele (i.e. ApoE4) is the strongest genetic risk factor for sporadic Alzheimer’s disease (AD). TREM2 (i.e. Triggering receptor expressed on myeloid cells 2) is a microglial transmembrane protein brain that plays a central role in microglia activation in response to AD brain pathologies. Whether higher TREM2-related microglia activity modulates the risk to develop clinical AD is an open question. Thus, the aim of the current study was to assess whether higher sTREM2 attenuates the effects of ApoE4-effects on future cognitive decline and neurodegeneration. Methods We included 708 subjects ranging from cognitively normal (CN, n = 221) to mild cognitive impairment (MCI, n = 414) and AD dementia (n = 73) from the Alzheimer’s disease Neuroimaging Initiative. We used linear regression to test the interaction between ApoE4-carriage by CSF-assessed sTREM2 levels as a predictor of longitudinally assessed cognitive decline and MRI-assessed changes in hippocampal volume changes (mean follow-up of 4 years, range of 1.7-7 years). Results Across the entire sample, we found that higher CSF sTREM2 at baseline was associated with attenuated effects of ApoE4-carriage (i.e. sTREM2 x ApoE4 interaction) on longitudinal global cognitive (p = 0.001, Cohen’s f 2 = 0.137) and memory decline (p = 0.006, Cohen’s f 2 = 0.104) as well as longitudinally assessed hippocampal atrophy (p = 0.046, Cohen’s f 2 = 0.089), independent of CSF markers of primary AD pathology (i.e. Aβ1–42, p-tau181). While overall effects of sTREM2 were small, exploratory subanalyses stratified by diagnostic groups showed that beneficial effects of sTREM2 were pronounced in the MCI group. Conclusion Our results suggest that a higher CSF sTREM2 levels are associated with attenuated ApoE4-related risk for future cognitive decline and AD-typical neurodegeneration. These findings provide further evidence that TREM2 may be protective against the development of AD.

Published
2020
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19. Neuropathologic features associated with basal forebrain atrophy in Alzheimer disease

Author

Teipel, Stefan J, Fritz, H-Christian, Toga, Arthur W., Roberts, Peggy, Albert, Marilyn, Onyike, Chiadi, Kielb, Stephanie, Rusinek, Henry, de Leon, Mony J, Glodzik, Lidia, De Santi, Susan, Doraiswamy, P. Murali, Petrella, Jeffrey R., Beckett, Laurel, Coleman, R. Edward, Arnold, Steven E., Karlawish, Jason H., Wolk, David, Smith, Charles D., Jicha, Greg, Hardy, Peter, Lopez, Oscar L., Oakley, MaryAnn, Simpson, Donna M., Green, Robert C., Porsteinsson, Anton P., Goldstein, Bonnie S., Martin, Kim, Makino, Kelly M., Ismail, M. Saleem, Brand, Connie, Mulnard, Ruth A., Thai, Gaby, Mc-Adams-Ortiz, Catherine, Womack, Kyle, Saykin, Andrew J., Mathews, Dana, Quiceno, Mary, Diaz-Arrastia, Ramon, King, Richard, Weiner, Myron, Martin-Cook, Kristen, DeVous, Michael, Levey, Allan I., Lah, James J., Cellar, Janet S., Morris, John, Burns, Jeffrey M., Anderson, Heather S., Swerdlow, Russell H., Apostolova, Liana, Lu, Po H., Bartzokis, George, Silverman, Daniel H. S., Graff-Radford, Neill R, Parfitt, Francine, Johnson, Heather, Liu, Enchi, Farlow, Martin R., Hake, Ann Marie, Matthews, Brandy R., Herring, Scott, van Dyck, Christopher H., Carson, Richard E., MacAvoy, Martha G., Chertkow, Howard, Bergman, Howard, Hosein, Chris, Black, Sandra, Stefanovic, Bojana, Caldwell, Curtis, Hsiung, Ging-Yuek Robin, Feldman, Howard, Mudge, Benita, Assaly, Michele, Kertesz, Andrew, Rogers, John, Trost, Dick, Montine, Tom, Bernick, Charles, Munic, Donna, Kerwin, Diana, Mesulam, Marek-Marsel, Lipowski, Kristina, Wu, Chuang-Kuo, Johnson, Nancy, Sadowsky, Carl, Martinez, Walter, Villena, Teresa, Petersen, Ronald, Scott Turner, Raymond, Johnson, Kathleen, Reynolds, Brigid, Sperling, Reisa A., Johnson, Keith A., Marshall, Gad, Frey, Meghan, Yesavage, Jerome, Taylor, Joy L., Lane, Barton, Aisen, Paul, Rosen, Allyson, Tinklenberg, Jared, Sabbagh, Marwan, Belden, Christine, Jacobson, Sandra, Kowall, Neil, Killiany, Ronald, Budson, Andrew E., Norbash, Alexander, Johnson, Patricia Lynn, Grothe, Michel, Gamst, Anthony, Obisesan, Thomas O., Wolday, Saba, Bwayo, Salome K., Lerner, Alan, Hudson, Leon, Ogrocki, Paula, Fletcher, Evan, Carmichael, Owen, Olichney, John, DeCarli, Charles, Thomas, Ronald G., Kittur, Smita, Borrie, Michael, Lee, T-Y, Bartha, Rob, Johnson, Sterling, Asthana, Sanjay, Carlsson, Cynthia M., Potkin, Steven G., Preda, Adrian, Nguyen, Dana, Donohue, Michael, Tariot, Pierre, Fleisher, Adam, Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Scharre, Douglas W., Kataki, Maria, Zimmerman, Earl A., Celmins, Dzintra, Walter, Sarah, Brown, Alice D., Pearlson, Godfrey D., Blank, Karen, Anderson, Karen, Santulli, Robert B., Schwartz, Eben S., Sink, Kaycee M., Williamson, Jeff D., Garg, Pradeep, Gessert, Devon, Watkins, Franklin, Ott, Brian R., Querfurth, Henry, Tremont, Geoffrey, Salloway, Stephen, Malloy, Paul, Correia, Stephen, Rosen, Howard J., Miller, Bruce L., Mintzer, Jacobo, Sather, Tamie, Longmire, Crystal Flynn, Spicer, Kenneth, Finger, Elizabether, Rachinsky, Irina, Drost, Dick, Pomara, Nunzio, Hernando, Raymundo, Sarrael, Antero, Schultz, Susan K., Boles Ponto, Laura L., Shim, Hyungsub, Smith, Karen Elizabeth, Relkin, Norman, Chaing, Gloria, Raudin, Lisa, Smith, Amanda, Fargher, Kristin, Raj, Balebail Ashok, Harvey, Danielle, Initiative, Alzheimer's Disease Neuroimaging, Kornak, John, Jack, Clifford R., Dale, Anders, Bernstein, Matthew, Felmlee, Joel, Fox, Nick, Thompson, Paul, Schuff, Norbert, Alexander, Gene, Weiner, Michael, Jagust, William, Bandy, Dan, Koeppe, Robert A., Foster, Norm, Reiman, Eric M., Chen, Kewei, Mathis, Chet, Cairns, Nigel J., Taylor-Reinwald, Lisa, Trojanowki, J. Q., Shaw, Les, Lee, Virginia M Y, Korecka, Magdalena, Crawford, Karen, Neu, Scott, Foroud, Tatiana M., Potkin, Steven, Shen, Li, Kachaturian, Zaven, Frank, Richard, Snyder, Peter J., Molchan, Susan, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S., Pawluczyk, Sonia, Spann, Bryan M., Brewer, James, Vanderswag, Helen, Heidebrink, Judith L., Lord, Joanne L., Johnson, Kris, Doody, Rachelle S., Villanueva-Meyer, Javier, Chowdhury, Munir, Stern, Yaakov, Honig, Lawrence S., Bell, Karen L., Morris, John C., Ances, Beau, Carroll, Maria, Leon, Sue, Mintun, Mark A., Schneider, Stacy, Trojanowki, John Q., Marson, Daniel, Griffith, Randall, Clark, David, Grossman, Hillel, Mitsis, Effie, Romirowsky, Aliza, deToledo-Morrell, Leyla, Shah, Raj C., Duara, Ranjan, Varon, Daniel, Instituto de Salud Carlos III, European Commission, and Ministerio de Ciencia, Innovación y Universidades (España)

Subjects
0301 basic medicine, Male, medicine.medical_specialty, Multivariate analysis, diagnostic imaging [Basal Forebrain], Basal Forebrain, pathology [Basal Forebrain], Logistic regression, Article, 03 medical and health sciences, pathology [Alzheimer Disease], 0302 clinical medicine, Atrophy, Alzheimer Disease, Internal medicine, Ischaemic stroke, Medicine, Humans, ddc:610, Stroke, Cost implications, Aged, Aged, 80 and over, pathology [Atrophy], business.industry, medicine.disease, Magnetic Resonance Imaging, 030104 developmental biology, Charlson comorbidity index, Female, Neurology (clinical), Alzheimer's disease, business, diagnostic imaging [Alzheimer Disease], 030217 neurology & neurosurgery
Abstract

Alzheimer's Disease Neuroimaging Initiative., [Objective] To study the neuropathologic correlates of cholinergic basal forebrain (BF) atrophy as determined using antemortem MRI in the Alzheimer disease (AD) spectrum., [Methods] We determined associations between BF volume from antemortem MRI brain scans and postmortem assessment of neuropathologic features, including neuritic plaques, neurofibrillary tangles (NFTs), Lewy body (LB) pathology, and TDP-43, in 64 cases of the Alzheimer's Disease Neuroimaging Initiative cohort. For comparison, we assessed neuropathologic features associated with hippocampal and parahippocampal gyrus atrophy. In addition to region of interest–based analysis, we determined the association of neuropathologic features with whole brain gray matter volume using regionally unbiased voxel-based volumetry., [Results] BF atrophy was associated with Thal amyloid phases (95% confidence interval [CI] −0.49 to −0.01, p = 0.049) and presence of LB pathology (95% CI −0.54 to −0.06, p = 0.015), as well as with the degree of LB pathology within the nucleus basalis Meynert (95% CI −0.54 to −0.07, p = 0.025). These effects were no longer significant after false discovery rate (FDR) correction. Hippocampal atrophy was significantly associated with the presence of TDP-43 pathology (95% CI −0.61 to −0.17, p = 0.003; surviving FDR correction), in addition to dentate gyrus NFT load (95% CI −0.49 to −0.01, p = 0.044; uncorrected). Voxel-based analysis confirmed spatially restricted effects of Thal phases and presence of LB pathology on BF volume., [Conclusions] These findings indicate that neuropathologic correlates of regional atrophy differ substantially between different brain regions that are typically involved in AD-related neurodegeneration, including different susceptibilities to common comorbid pathologies., M.J.G. is supported by the “Miguel Servet” program [CP19/00031] of the Spanish Instituto de Salud Carlos III (ISCIII-FEDER).

Published
2020
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20. Dual-Model Radiomic Biomarkers Predict Development of Mild Cognitive Impairment Progression to Alzheimer's Disease

Author

Zhou, Hucheng, Jiang, Jiehui, Lu, Jiaying, Wang, Min, Zhang, Huiwei, Zuo, Chuantao, Weiner, Michael W, Aisen, Paul, Petersen, Ronald, Jr, Jack Clifford R, Jagust, William, Trojanowki, John Q, Toga, Arthur W, Beckett, Laurel, Green, Robert C, Saykin, Andrew J, Morris, John, Shaw, Leslie M, Khachaturian, Zaven, Sorensen, Greg, Carrillo, Maria, Kuller, Lew, Raichle, Marc, Paul, Steven, Davies, Peter, Fillit, Howard, Hefti, Franz, Holtzman, David, Mesulam, M Marcel, Potter, William, Snyder, Peter, Lilly, Eli, Montine, Tom, Jimenez, Gustavo, Donohue, Michael, Gessert, Devon, Harless, Kelly, Salazar, Jennifer, Cabrera, Yuliana, Walter, Sarah, Hergesheimer, Lindsey, Harvey, Danielle, Bernstein, Matthew, Fox, Nick, Thompson, Paul, Schuff, Norbert, DeCArli, Charles, Borowski, Bret, Gunter, Jeff, Senjem, Matt, Vemuri, Prashanthi, Jones, David, Kantarci, Kejal, Ward, Chad, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Logovinsky, Veronika, Morris, John C, Cairns, Nigel J, Franklin, Erin, Taylor-Reinwald, Lisa, Lee, Virginia, Korecka, Magdalena, Figurski, Michal, Crawford, Karen, Neu, Scott, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Faber, Kelley, Kim, Sungeun, Nho, Kwangsik, Thal, Lean, Thal, Leon, Buckholtz, Neil, Snyder, Peter J, Albert, Marilyn, Frank, Richard, Hsiao, John, Landau, Susan, Quinn, Joseph, Silbert, Lisa C, Lind, Betty, Kaye, Jeffrey A, Carter, Raina, Dolen, Sara, Schneider, Lon S, Pawluczyk, Sonia, Becerra, Mauricio, Teodoro, Liberty, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Fleisher, Adam, Ziolkowski, Jaimie, Heidebrink, Judith L, Lord, Joanne L, Mason, Sara S, Albers, Colleen S, Knopman, David, Johnson, Kris, Villanueva-Meyer, Javier, Pavlik, Valory, Pacini, Nathaniel, Lamb, Ashley, Kass, Joseph S, Doody, Rachelle S, Shibley, Victoria, Chowdhury, Munir, Rountree, Susan, Dang, Mimi, Stem, Yaakov, Honig, Lawrence S, Bell, Karen L, Yeh, Randy, Ances, Beau, Winkfield, David, Carroll, Maria, Oliver, Angela, Creech, Mary L, Mintun, Mark A, Schneider, Stacy, Marson, Daniel, Geldmacher, David, Love, Marissa Natelson, Griffith, Randall, Clark, David, Brockington, John, Grossman, Hillel, Mitsis, Effie, Shah, Raj C, Lamar, Melissa, Samuels, Patricia, Duara, Ranjan, Greig-Custo, Maria T, Rodriguez, Rosemarie, Onyike, Chiadi, II, D'Agostino Daniel, Kielb, Stephanie, Sadowski, Martin, Sheikh, Mohammed O, Singleton-Garvin, Jamika, Ulysse, Anaztasia, Gaikwad, Mrunalini, Doraiswamy, P Murali, Petrella, Jeffrey R, James, Olga, Borges-Neto, Salvador, Wong, Terence Z, Coleman, Edward, Karlawish, Jason H, Wolk, David A, Vaishnavi, Sanjeev, Clark, Christopher M, Arnold, Steven E, Smith, Charles D, Jicha, Greg, Hardy, Peter, El Khouli, Riham, Oates, Elizabeth, Conrad, Gary, Lopez, Oscar L, Oakley, MaryAnn, Simpson, Donna M, Porsteinsson, Anton P, Martin, Kim, Kowalksi, Nancy, Keltz, Melanie, Goldstein, Bonnie S, Makino, Kelly M, Ismail, M Saleem, Brand, Connie, Thai, Gaby, Pierce, Aimee, Yanez, Beatriz, Sosa, Elizabeth, Witbracht, Megan, Womack, Kyle, Mathews, Dana, Quiceno, Mary, Levey, Allan I, Lah, James J, Cellar, Janet S, Burns, Jeffrey M, Swerdlow, Russell H, Brooks, William M, Woo, Ellen, Silverman, Daniel HS, Teng, Edmond, Kremen, Sarah, Apostolova, Liana, Tingus, Kathleen, Lu, Po H, Bartzokis, George, Graff-Radford, Neill R, Parfitt, Francine, Poki-Walker, Kim, Farlow, Martin R, Hake, Ann Marie, Matthews, Brandy R, Brosch, Jared R, Herring, Scott, van Dyck, Christopher H, Carson, Richard E, Varma, Pradeep, Chertkow, Howard, Bergman, Howard, Hosein, Chris, Black, Sandra, Stefanovic, Bojana, Heyn, Chris Chinthaka, Hsiung, Ging-Yuek Robin, Mudge, Benita, Sossi, Vesna, Feldman, Howard, Assaly, Michele, Finger, Elizabeth, Pasternack, Stephen, Pavlosky, William, Rachinsky, Irina, Drost, Dick, Kertesz, Andrew, Bernick, Charles, Munic, Donna, Mesulam, Marek-Marsel, Rogalski, Emily, Lipowski, Kristine, Weintraub, Sandra, Bonakdarpour, Borna, Kerwin, Diana, Wu, Chuang-Kuo, Johnson, Nancy, Sadowsky, Carl, Villena, Teresa, Turner, Raymond Scott, Johnson, Kathleen, Reynolds, Brigid, Sperling, Reisa A, Johnson, Keith A, Marshall, Gad A, Yesavage, Jerome, Taylor, Joy L, Chao, Steven, Lane, Barton, Rosen, Allyson, Tinklenberg, Jared, Zamrini, Edward, Belden, Christine M, Sirrel, Sherye A, Kowall, Neil, Killiany, Ronald, Budson, Andrew E, Norbash, Alexander, Johnson, Patricia Lynn, Obisesan, Thomas O, Oyonumo, Ntekim E, Allard, Joanne, Nlana, Olu Ogu, Lerner, Alan, Ogrocki, Paula, Tatsuoka, Curtis, Fatica, Parianne, Fletcher, Evan, Maillard, Pauline, Olichney, John, Carmichael, Owen, Kittur, Smita, Borrie, Michael, Lee, T-Y, Bartha, Rob, Johnson, Sterling, Asthana, Sanjay, Carlsson, Cynthia M, Tariot, Pierre, Burke, Anna, Hetelle, Joel, DeMarco, Kathryn, Trncic, Nadira, Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Scharre, Douglas W, Kataki, Maria, Tarawneh, Rawan, Zimmerman, Earl A, Celmins, Dzintra, Hart, David, Pearlson, Godfrey D, Blank, Karen, Anderson, Karen, Flashman, Laura A, Seltzer, Marc, Hynes, Mary L, Santulli, Robert B, Sink, Kaycee M, Yang, Mia, Mintz, Akiva, Ott, Brian R, Tremont, Geoffrey, Daiello, Lori A, Bodge, Courtney, Salloway, Stephen, Malloy, Paul, Correia, Stephen, Lee, Athena, Rosen, Howard J, Miller, Bruce L, Perry, David, Mintzer, Jacobo, Spicer, Kenneth, Bachman, David, Pasternak, Stephen, Rogers, John, Pomara, Nunzio, Hernando, Raymundo, Sarrael, Antero, Miller, Delwyn D, Smith, Karen Ekstam, Koleva, Hristina, Nam, Ki Won, Shim, Hyungsub, Schultz, Susan K, Relkin, Norman, Chiang, Gloria, Lin, Michael, Ravdin, Lisa, Smith, Amanda, Leach, Christi, Raj, Balebail Ashok, Fargher, Kristin, Neylan, Thomas, Grafman, Jordan, Hergesheimen, Lindsey, Hayes, Jacqueline, Finley, Shannon, Householder, Erin, Fleischman, Debra, Arfanakis, Konstantinos, Varon, Daniel, Greig, Maria T, Goldstein, Bonnie, Martin, Kimberly S, Potkin, Steven G, Preda, Adrian, Nguyen, Dana, Massoglia, Dino, Brawman-Mintzer, Olga, Martinez, Walte R, Rosen, Howard, Behan, Kelly, Marshall, Gad, Sabbagh, Marwan N, Jacobson, Sandra A, Wolday, Saba, Johnson, Sterling C, Fruehling, J Jay, Harding, Sandra, Peskind, Elaine R, Petrie, Eric C, Li, Gail, Yesavage, Jerome A, Furst, Ansgar J, Mackin, Scott, Raman, Rema, Drake, Erin, Donohue, Mike, Shaffe, Elizabeth, Nelson, Craig, Bickford, David, Butters, Meryl, Zmuda, Michelle, Reyes, Denise, Nudelman, Kelly N, Au, Yiu Ho, Scherer, Kelly, Catalinotto, Daniel, Stark, Samuel, Ong, Elise, Fernandez, Dariella, and Initia, Alzheimers Dis Neuroimaging

Subjects
mild cognitive impairment, radiomics, Cox model, Neurosciences, Cognitive Science, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer's disease, image fusion, Alzheimer’s disease
Abstract

Predicting progression of mild cognitive impairment (MCI) to Alzheimer's disease (AD) is clinically important. In this study, we propose a dual-model radiomic analysis with multivariate Cox proportional hazards regression models to investigate promising risk factors associated with MCI conversion to AD. T1 structural magnetic resonance imaging (MRI) and 18F-Fluorodeoxyglucose (FDG) positron emission tomography (PET) data, from the AD Neuroimaging Initiative database, were collected from 131 patients with MCI who converted to AD within 3 years and 132 patients with MCI without conversion within 3 years. These subjects were randomly partition into 70% training dataset and 30% test dataset with multiple times. We fused MRI and PET images by wavelet method. In a subset of subjects, a group comparison was performed using a two-sample t-test to determine regions of interest (ROIs) associated with MCI conversion. 172 radiomic features from ROIs for each individual were established using a published radiomics tool. Finally, L1-penalized Cox model was constructed and Harrell's C index (C-index) was used to evaluate prediction accuracy of the model. To evaluate the efficacy of our proposed method, we used a same analysis framework to evaluate MRI and PET data separately. We constructed prognostic Cox models with: clinical data, MRI images, PET images, fused MRI/PET images, and clinical variables and fused MRI/PET images in combination. The experimental results showed that captured ROIs significantly associated with conversion to AD, such as gray matter atrophy in the bilateral hippocampus and hypometabolism in the temporoparietal cortex. Imaging model (MRI/PET/fused) provided significant enhancement in prediction of conversion compared to clinical models, especially the fused-modality Cox model. Moreover, the combination of fused-modality imaging and clinical variables resulted in the greatest accuracy of prediction. The average C-index for the clinical/MRI/PET/fused/combined model in the test dataset was 0.69, 0.73, 0.73 and 0.75, and 0.78, respectively. These results suggested that a combination of radiomic analysis and Cox model analyses could be used successfully in survival analysis and may be powerful tools for personalized precision medicine patients with potential to undergo conversion from MCI to AD.

Published
2019
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21. In vivo staging of regional amyloid deposition

Author

Grothe, Michel J, Barthel, Henryk, Aisen, Paul, Romirowsky, Aliza, deToledo-Morrell, Leyla, Shah, Raj C, Duara, Ranjan, Varon, Daniel, Roberts, Peggy, Albert, Marilyn, Onyike, Chiadi, Kielb, Stephanie, Rusinek, Henry, Petersen, Ronald, de Leon, Mony J, Glodzik, Lidia, De Santi, Susan, Doraiswamy, P Murali, Petrella, Jeffrey R, Coleman, R Edward, Arnold, Steven E, Karlawish, Jason H, Wolk, David, Smith, Charles D, Jack, Clifford R, Jicha, Greg, Hardy, Peter, Lopez, Oscar L, Oakley, MaryAnn, Simpson, Donna M, Porsteinsson, Anton P, Goldstein, Bonnie S, Martin, Kim, Makino, Kelly M, Ismail, M Saleem, Jagust, William, Brand, Connie, Mulnard, Ruth A, Thai, Gaby, Mc-Adams-Ortiz, Catherine, Womack, Kyle, Mathews, Dana, Quiceno, Mary, Diaz-Arrastia, Ramon, King, Richard, Weiner, Myron, Trojanowki, John Q, Martin-Cook, Kristen, DeVous, Michael, Levey, Allan I, Lah, James J, Cellar, Janet S, Burns, Jeffrey M, Anderson, Heather S, Swerdlow, Russell H, Apostolova, Liana, Lu, Po H, Toga, Arthur W, Bartzokis, George, Silverman, Daniel H S, Parfitt, Francine, Johnson, Heather, Farlow, Martin R, Hake, Ann Marie, Matthews, Brandy R, Herring, Scott, van Dyck, Christopher H, Carson, Richard E, Beckett, Laurel, MacAvoy, Martha G, Chertkow, Howard, Bergman, Howard, Hosein, Chris, Black, Sandra, Stefanovic, Bojana, Caldwell, Curtis, Robin Hsiung, Ging-Yuek, Feldman, Howard, Mudge, Benita, Green, Robert C, Assaly, Michele, Kertesz, Andrew, Rogers, John, Trost, Dick, Bernick, Charles, Munic, Donna, Kerwin, Diana, Mesulam, Marek-Marsel, Lipowski, Kristina, Wu, Chuang-Kuo, Saykin, Andrew J, Johnson, Nancy, Sadowsky, Carl, Martinez, Walter, Villena, Teresa, Turner, Raymond Scott, Johnson, Kathleen, Reynolds, Brigid, Sperling, Reisa A, Johnson, Keith A, Marshall, Gad, Morris, John, Frey, Meghan, Yesavage, Jerome, Taylor, Joy L, Lane, Barton, Rosen, Allyson, Tinklenberg, Jared, Sabbagh, Marwan, Belden, Christine, Jacobson, Sandra, Kowall, Neil, Sepulcre, Jorge, Liu, Enchi, Killiany, Ronald, Budson, Andrew E, Norbash, Alexander, Johnson, Patricia Lynn, Obisesan, Thomas O, Wolday, Saba, Bwayo, Salome K, Lerner, Alan, Hudson, Leon, Ogrocki, Paula, Fletcher, Evan, Carmichael, Owen, Olichney, John, DeCarli, Charles, Kittur, Smita, Borrie, Michael, Lee, T-Y, Bartha, Rob, Johnson, Sterling, Asthana, Sanjay, Montine, Tom, Carlsson, Cynthia M, Potkin, Steven G, Preda, Adrian, Nguyen, Dana, Tariot, Pierre, Fleisher, Adam, Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Scharre, Douglas W, Kataki, Maria, Zimmerman, Earl A, Celmins, Dzintra, Brown, Alice D, Pearlson, Godfrey D, Blank, Karen, Anderson, Karen, Santulli, Robert B, Schwartz, Eben S, Sink, Kaycee M, Williamson, Jeff D, Garg, Pradeep, Watkins, Franklin, Ott, Brian R, Querfurth, Henry, Tremont, Geoffrey, Salloway, Stephen, Malloy, Paul, Gamst, Anthony, Correia, Stephen, Rosen, Howard J, Miller, Bruce L, Mintzer, Jacobo, Longmire, Crystal Flynn, Spicer, Kenneth, Finger, Elizabether, Rachinsky, Irina, Thomas, Ronald G, Drost, Dick, Pomara, Nunzio, Hernando, Raymundo, Sarrael, Antero, Schultz, Susan K, Boles Ponto, Laura L, Shim, Hyungsub, Smith, Karen Elizabeth, Relkin, Norman, Chaing, Gloria, Donohue, Michael, Raudin, Lisa, Smith, Amanda, Fargher, Kristin, Raj, Balebail Ashok, Walter, Sarah, Gessert, Devon, Dyrba, Martin, Sather, Tamie, Harvey, Danielle, Kornak, John, Dale, Anders, Bernstein, Matthew, Felmlee, Joel, Sabri, Osama, Fox, Nick, Thompson, Paul, Schuff, Norbert, Alexander, Gene, Bandy, Dan, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Teipel, Stefan J, Chen, Kewei, Mathis, Chet, Cairns, Nigel J, Taylor-Reinwald, Lisa, Trojanowki, J. Q., Shaw, Les, Lee, Virginia M Y, Korecka, Magdalena, Initiative, Alzheimer's Disease Neuroimaging, Crawford, Karen, Neu, Scott, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Kachaturian, Zaven, Frank, Richard, Snyder, Peter J, Molchan, Susan, Weiner, Michael, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S, Pawluczyk, Sonia, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Heidebrink, Judith L, Lord, Joanne L, Johnson, Kris, Doody, Rachelle S, Villanueva-Meyer, Javier, Chowdhury, Munir, Stern, Yaakov, Honig, Lawrence S, Bell, Karen L, Morris, John C, Ances, Beau, Carroll, Maria, Leon, Sue, Mintun, Mark A, Schneider, Stacy, Marson, Daniel, Griffith, Randall, Clark, David, Grossman, Hillel, and Mitsis, Effie

Subjects
0301 basic medicine, Male, Pathology, Aging, diagnostic imaging [Cognitive Dysfunction], cerebrospinal fluid [Amyloid beta-Peptides], metabolism [Cognitive Dysfunction], 0302 clinical medicine, diagnostic imaging [Cerebral Cortex], metabolism [Neostriatum], Aged, 80 and over, Cerebral Cortex, Neocortex, Aniline Compounds, methods [Positron-Emission Tomography], amyloid beta-protein (1-42), medicine.anatomical_structure, diagnostic imaging [Neostriatum], Cerebral cortex, Cohort, Disease Progression, florbetapir, Ethylene Glycols, Female, Alzheimer's disease, metabolism [Alzheimer Disease], metabolism [Biomarkers], medicine.medical_specialty, Amyloid, metabolism [Amyloid beta-Peptides], Article, Temporal lobe, 03 medical and health sciences, Neuroimaging, Alzheimer Disease, mental disorders, medicine, Dementia, Humans, Cognitive Dysfunction, ddc:610, metabolism [Aging], cerebrospinal fluid [Peptide Fragments], Aged, Amyloid beta-Peptides, business.industry, metabolism [Cerebral Cortex], medicine.disease, Peptide Fragments, Neostriatum, 030104 developmental biology, Cross-Sectional Studies, Positron-Emission Tomography, Neurology (clinical), business, diagnostic imaging [Alzheimer Disease], 030217 neurology & neurosurgery, Biomarkers
Abstract

Objectives:To estimate a regional progression pattern of amyloid deposition from cross-sectional amyloid-sensitive PET data and evaluate its potential for in vivo staging of an individual's amyloid pathology.Methods:Multiregional analysis of florbetapir (18F-AV45)–PET data was used to determine individual amyloid distribution profiles in a sample of 667 participants from the Alzheimer's Disease Neuroimaging Initiative cohort, including cognitively normal older individuals (CN) as well as patients with mild cognitive impairment and Alzheimer disease (AD) dementia. The frequency of regional amyloid positivity across CN individuals was used to construct a 4-stage model of progressing amyloid pathology, and individual distribution profiles were used to evaluate the consistency of this hierarchical stage model across the full cohort.Results:According to a 4-stage model, amyloid deposition begins in temporobasal and frontomedial areas, and successively affects the remaining associative neocortex, primary sensory-motor areas and the medial temporal lobe, and finally the striatum. Amyloid deposition in these brain regions showed a highly consistent hierarchical nesting across participants, where only 2% exhibited distribution profiles that deviated from the staging scheme. The earliest in vivo amyloid stages were mostly missed by conventional dichotomous classification approaches based on global florbetapir-PET signal, but were associated with significantly reduced CSF Aβ42 levels. Advanced in vivo amyloid stages were most frequent in patients with AD and correlated with cognitive impairment in individuals without dementia.Conclusions:The highly consistent regional hierarchy of PET-evidenced amyloid deposition across participants resembles neuropathologic observations and suggests a predictable regional sequence that may be used to stage an individual's progress of amyloid pathology in vivo.

Published
2017
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22. Multimodal characterization of older APOE2 carriers reveals selective reduction of amyloid load

Author

Grothe, Michel J, Villeneuve, Sylvia, Petersen, Ronald, Leyla deToledo-Morrell, PhD, Shah, Raj C, Duara, Ranjan, Varon, Daniel, Roberts Cna, Peggy, Albert, Marilyn, Onyike, Chiadi, Kielb, Stephanie, Rusinek, Henry, de Leon, Mony J, Jack, Clifford R, Glodzik, Lidia, De Santi, Susan, Doraiswamy, P Murali, Petrella, Jeffrey R, Coleman, R Edward, Arnold, Steven E, Karlawish, Jason H, Wolk, David, Smith, Charles D, Jicha, Greg, Jagust, William, Hardy, Peter, Lopez, Oscar L, Oakley, MaryAnn, Simpson, Donna M, Porsteinsson, Anton P, Goldstein, Bonnie S, Martin, Kim, Makino, Kelly M, Ismail, M Saleem, Brand, Connie, Trojanowki, John Q, Mulnard, Ruth A, Thai, Gaby, Mc-Adams-Ortiz, Catherine, Womack, Kyle, Mathews, Dana, Quiceno, Mary, Diaz-Arrastia, Ramon, King, Richard, Weiner, Myron, Martin-Cook, Kristen, Toga, Arthur W, DeVous, Michael, Levey, Allan I, Lah, James J, Cellar, Janet S, Burns, Jeffrey M, Anderson, Heather S, Swerdlow, Russell H, Apostolova, Liana, Lu, Po H, Bartzokis, George, Beckett, Laurel, Silverman, Daniel H S, Graff-Radford Mbbch, Neill R, Parfitt, Francine, Johnson, Heather, Farlow, Martin R, Hake, Ann Marie, Matthews, Brandy R, Herring, Scott, van Dyck, Christopher H, Carson, Richard E, Green, Robert C, MacAvoy, Martha G, Chertkow, Howard, Bergman, Howard, Hosein, Chris, Black, Sandra, Stefanovic, Bojana, Caldwell, Curtis, Robin Hsiung, Ging-Yuek, Feldman, Howard, Mudge, Benita, Saykin, Andrew J, Assaly, Michele, Kertesz, Andrew, Rogers, John, Trost, Dick, Bernick, Charles, Munic, Donna, Kerwin, Diana, Mesulam, Marek-Marsel, Lipowski, Kristina, Wu, Chuang-Kuo, Morris, John, Johnson, Nancy, Sadowsky, Carl, Martinez, Walter, Villena, Teresa, Turner, Raymond Scott, Johnson, Kathleen, Reynolds, Brigid, Sperling, Reisa A, Johnson, Keith A, Marshall, Gad, Liu, Enchi, Frey, Meghan, Yesavage, Jerome, Taylor, Joy L, Lane, Barton, Rosen, Allyson, Tinklenberg, Jared, Sabbagh, Marwan, Belden, Christine, Jacobson, Sandra, Kowall, Neil, Dyrba, Martin, Killiany, Ronald, Budson, Andrew E, Norbash, Alexander, Johnson, Patricia Lynn, Obisesan, Thomas O, Wolday, Saba, Bwayo, Salome K, Lerner, Alan, Hudson, Leon, Ogrocki, Paula, Montine, Tom, Fletcher, Evan, Carmichael, Owen, Olichney, John, DeCarli, Charles, Kittur, Smita, Borrie, Michael, Lee, T-Y, Bartha, Dr Rob, Johnson, Sterling, Asthana, Sanjay, Carlsson, Cynthia M, Potkin, Steven G, Preda, Adrian, Nguyen, Dana, Tariot, Pierre, Fleisher, Adam, Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Aisen, Paul, Scharre, Douglas W, Kataki, Maria, Zimmerman, Earl A, Celmins, Dzintra, Brown, Alice D, Pearlson, Godfrey D, Blank, Karen, Anderson, Karen, Santulli, Robert B, Gamst, Anthony, Schwartz, Eben S, Sink, Kaycee M, Williamson, Jeff D, Garg, Pradeep, Watkins, Franklin, Ott, Brian R, Querfurth, Henry, Tremont, Geoffrey, Salloway, Stephen, Malloy, Paul, Thomas, Ronald G, Correia, Stephen, Rosen, Howard J, Miller, Bruce L, Mintzer, Jacobo, Longmire, Crystal Flynn, Spicer, Kenneth, Finger, Elizabether, Rachinsky, Irina, Donohue, Michael, Drost, Dick, Pomara, Nunzio, Hernando, Raymundo, Sarrael, Antero, Schultz, Susan K, Boles Ponto, Laura L, Shim, Hyungsub, Smith, Karen Elizabeth, Relkin, Norman, Chaing, Gloria, Walter, Sarah, Raudin, Lisa, Smith, Amanda, Fargher, Kristin, Raj, Balebail Ashok, Gessert, Devon, Sather, Tamie, Bartrés-Faz, David, Harvey, Danielle, Kornak, John, Dale, Anders, Bernstein, Matthew, Felmlee, Joel, Fox, Nick, Wirth, Miranka, Thompson, Paul, Schuff, Norbert, Alexander, Gene, Bandy, Dan, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Initiative, Alzheimer's Disease Neuroimaging, Mathis, Chet, Cairns, Nigel J, Taylor-Reinwald, Lisa, Trojanowki, J. Q., Shaw, Les, Lee, Virginia M Y, Korecka, Magdalena, Crawford, Karen, Weiner, Michael, Neu, Scott, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Kachaturian, Zaven, Frank, Richard, Snyder, Peter J, Molchan, Susan, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S, Pawluczyk, Sonia, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Heidebrink, Judith L, Lord, Joanne L, Johnson, Kris, Doody, Rachelle S, Villanueva-Meyer, Javier, Chowdhury, Munir, Stern, Yaakov, Honig, Lawrence S, Bell, Karen L, Morris, John C, Ances, Beau, Carroll, Maria, Leon, Sue, Mintun, Mark A, Schneider, Stacy, Marson, Daniel, Griffith, Randall, Clark, David, Grossman, Hillel, Mitsis, Effie, and Romirowsky, Aliza

Subjects
0301 basic medicine, Oncology, Male, Aging, Apolipoprotein E2, diagnostic imaging [Cognitive Dysfunction], Apolipoprotein E3, metabolism [Gray Matter], Disease, Multimodal Imaging, metabolism [Cognitive Dysfunction], pathology [Aging], 0302 clinical medicine, Genotype, Medicine, Gray Matter, medicine.diagnostic_test, Brain, Organ Size, Magnetic Resonance Imaging, metabolism [Glucose], cerebrospinal fluid [Biomarkers], Positron emission tomography, genetics [Aging], genetics [Apolipoprotein E3], Female, Alzheimer's disease, medicine.medical_specialty, Amyloid, Heterozygote, Neuroimaging, Article, 03 medical and health sciences, Fluorodeoxyglucose F18, Internal medicine, genetics [Apolipoprotein E2], Dementia, Humans, Cognitive Dysfunction, ddc:610, metabolism [Aging], Allele, diagnostic imaging [Brain], metabolism [Amyloid], Aged, business.industry, diagnostic imaging [Gray Matter], Magnetic resonance imaging, medicine.disease, 030104 developmental biology, Glucose, metabolism [Brain], Positron-Emission Tomography, Neurology (clinical), Radiopharmaceuticals, business, 030217 neurology & neurosurgery, Biomarkers
Abstract

Objective:To comprehensively assess neurobiological effects of the protective APOE2 allele in the aged brain using a cross-sectional multimodal neuroimaging approach.Methods:Multimodal neuroimaging data were obtained from a total of 572 older individuals without dementia (cognitively normal and mild cognitive impairment) enrolled in the Alzheimer's Disease Neuroimaging Initiative and included assessments of regional amyloid load with AV45-PET, glucose metabolism with fluorodeoxyglucose-PET, and gray matter volume with structural MRI. Imaging indexes of APOE2 carriers were contrasted to risk-neutral APOE3 homozygotes, and analyses were controlled for age, sex, education, and clinical diagnosis. Additional models examined genotype-specific effects of age on the imaging markers.Results:In region-of-interest–based analyses, APOE2 carriers had significantly less precuneal amyloid pathology and did not show the typical age-related increase in amyloid load, although the age × genotype interaction was only trend-level significant. In contrast, parietal metabolism and hippocampal volume did not differ between APOE2 and APOE3 genotypes, and both groups showed comparable negative effects of age on these markers. The amyloid specificity of APOE2-related brain changes was corroborated in 2 complementary analyses: spatially unbiased voxel-wise analyses showing widespread reductions in amyloid deposition but no differences in gray matter volume or metabolism and an analysis of CSF-based biomarkers showing a significant effect on amyloid but not on tau pathology.Conclusions:Regarding the range of Alzheimer disease biomarkers considered in the present study, the APOE2 allele appears to have a relatively selective effect on reduced accumulation of amyloid pathology in the aged brain.

Published
2016
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23. Body mass index is associated with biological CSF markers of core brain pathology of Alzheimer's disease

Author

Ewers, Michael, Schmitz, Susanne, Vellas, Bruno, Morris, John C, Ances, Beau, Carroll, Maria, Leon, Sue, Mintun, Mark A, Schneider, Stacy, Marson, Daniel, Griffith, Randall, Clark, David, Grossman, Hillel, Dubois, Bruno, Mitsis, Effie, Romirowsky, Aliza, deToledo-Morrell, Leyla, Shah, Raj C, Duara, Ranjan, Varon, Daniel, Roberts, Peggy, Albert, Marilyn, Onyike, Chiadi, Kielb, Stephanie, Blennow, Kaj, Rusinek, Henry, de Leon, Mony J, Glodzik, Lidia, Doraiswamy, P Murali, Petrella, Jeffrey R, Coleman, R Edward, Arnold, Steven E, Karlawish, Jason H, Wolk, David, Smith, Charles D, Buerger, Katharina, Jicha, Greg, Hardy, Peter, Lopez, Oscar L, Oakley, MaryAnn, Simpson, Donna M, Porsteinsson, Anton P, Goldstein, Bonnie S, Martin, Kim, Makino, Kelly M, Ismail, M Saleem, Teipel, Stefan J, Brand, Connie, Mulnard, Ruth A, Thai, Gaby, Mc-Adams-Ortiz, Catherine, Diaz-Arrastia, Ramon, Martin-Cook, Kristen, DeVous, Michael, Levey, Allan I, Lah, James J, Cellar, Janet S, Weiner, Michael, Burns, Jeffrey M, Anderson, Heather S, Swerdlow, Russell H, Apostolova, Liana, Lu, Po H, Bartzokis, George, Silverman, Daniel H S, Graff-Radford, Neill R, Parfitt, Francine, Johnson, Heather, Hampel, Harald, Farlow, Martin, Herring, Scott, Hake, Ann M, van Dyck, Christopher H, Carson, Richard E, MacAvoy, Martha G, Chertkow, Howard, Bergman, Howard, Hosein, Chris, Black, Sandra, Initiative, Alzheimer's Disease Neuroimaging, Stefanovic, Bojana, Caldwell, Curtis, Hsiung, Ging-Yuek Robin, Feldman, Howard, Assaly, Michele, Kertesz, Andrew, Rogers, John, Trost, Dick, Bernick, Charles, Munic, Donna, Kerwin, Diana, Mesulam, Marek-Marsel, Lipowski, Kristina, Wu, Chuang-Kuo, Johnson, Nancy, Sadowsky, Carl, Martinez, Walter, Villena, Teresa, Turner, Raymond Scott, Johnson, Kathleen, Aisen, Paul, Reynolds, Brigid, Sperling, Reisa A, Johnson, Keith A, Marshall, Gad, Frey, Meghan, Rosen, Allyson, Tinklenberg, Jared, Sabbagh, Marwan, Belden, Christine, Jacobson, Sandra, Hansson, Oskar, Kowall, Neil, Killiany, Ronald, Budson, Andrew E, Norbash, Alexander, Johnson, Patricia Lynn, Obisesan, Thomas O, Wolday, Saba, Bwayo, Salome K, Lerner, Alan, Hudson, Leon, Ogrocki, Paula, Fletcher, Evan, Carmichael, Owen, Olichney, John, DeCarli, Charles, Kittur, Smita, Borrie, Michael, Lee, T-Y, Bartha, Rob, Johnson, Sterling, Petersen, Ronald, Asthana, Sanjay, Carlsson, Cynthia M, Potkin, Steven G, Preda, Adrian, Nguyen, Dana, Tariot, Pierre, Fleisher, Adam, Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Jack, Clifford R, Rainka, Michelle, Hendin, Barry A, Scharre, Douglas W, Kataki, Maria, Zimmerman, Earl A, Celmins, Dzintra, Brown, Alice D, Pearlson, Godfrey D, Blank, Karen, Anderson, Karen, Jagust, William, Saykin, Andrew J, Santulli, Robert B, Schwartz, Eben S, Sink, Kaycee M, Williamson, Jeff D, Garg, Pradeep, Watkins, Franklin, Ott, Brian R, Querfurth, Henry, Tremont, Geoffrey, Trojanowki, John Q, Salloway, Stephen, Malloy, Paul, Correia, Stephen, Rosen, Howard J, Miller, Bruce L, Mintzer, Jacobo, Longmire, Crystal Flynn, Spicer, Kenneth, Toga, Arthur W, Beckett, Laurel, Green, Robert C, Walsh, Cathal, Morris, John, Liu, Enchi, Montine, Tom, Gamst, Anthony, Thomas, Ronald G, Donohue, Michael, Walter, Sarah, Fitzpatrick, Annette, Gessert, Devon, Sather, Tamie, Harvey, Danielle, Kornak, John, Dale, Anders, Bernstein, Matthew, Bennett, David, Felmlee, Joel, Fox, Nick, Thompson, Paul, Schuff, Norbert, Alexander, Gene, Bandy, Dan, Koeppe, Robert A, Foster, Norm, Minthon, Lennart, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Cairns, Nigel J, Taylor-Reinwald, Lisa, Trojanowki, J. Q., Shaw, Les, Lee, Virginia M Y, Korecka, Magdalena, Trojanowski, John Q, Crawford, Karen, Neu, Scott, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Kachaturian, Zaven, Frank, Richard, Snyder, Peter J, Shaw, Leslie M, Molchan, Susan, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S, Pawluczyk, Sonia, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Faluyi, Yetunde O, Heidebrink, Judith L, Lord, Joanne L, Johnson, Kris, Doody, Rachelle S, Villanueva-Meyer, Javier, Chowdhury, Munir, Stern, Yaakov, Honig, Lawrence S, and Bell, Karen L

Subjects
Male, Apolipoprotein E, Aging, Pathology, Neurology, epidemiology [Alzheimer Disease], Statistics as Topic, cerebrospinal fluid [Amyloid beta-Peptides], Comorbidity, Body Mass Index, Cerebrospinal fluid, pathology [Brain], Prevalence, Aged, 80 and over, biology, General Neuroscience, Brain, Middle Aged, Prognosis, amyloid beta-protein (1-42), cerebrospinal fluid [Cognition Disorders], cerebrospinal fluid [Alzheimer Disease], cerebrospinal fluid [Biomarkers], Biomarker (medicine), Female, epidemiology [United States], Alzheimer's disease, Psychology, Alzheimer's Disease Neuroimaging Initiative, epidemiology [Cognition Disorders], medicine.medical_specialty, Tau protein, tau Proteins, Alzheimer Disease, medicine, Humans, ddc:610, cerebrospinal fluid [Peptide Fragments], Aged, Amyloid beta-Peptides, medicine.disease, United States, Peptide Fragments, cerebrospinal fluid [tau Proteins], metabolism [Brain], biology.protein, pathology [Cognition Disorders], Neurology (clinical), Geriatrics and Gerontology, Cognition Disorders, Body mass index, Biomarkers, Developmental Biology
Abstract

Weight changes are common in aging and Alzheimer's disease (AD) and postmortem findings suggest a relation between lower body mass index (BMI) and increased AD brain pathology. In the current multicenter study, we tested whether lower BMI is associated with higher core AD brain pathology as assessed by cerebrospinal fluid (CSF)-based biological markers of AD in 751 living subjects: 308 patients with AD, 296 subjects with amnestic mild cognitive impairment (MCI), and 147 elderly healthy controls (HC). Based upon a priori cutoff values on CSF concentration of total tau and beta-amyloid (Aβ(1-42)), subjects were binarized into a group with abnormal CSF biomarker signature (CSF+) and those without (CSF-). Results showed that BMI was significantly lower in the CSF+ when compared with the CSF- group (F = 27.7, df = 746, p0.001). There was no interaction between CSF signature and diagnosis or apolipoprotein E (ApoE) genotype. In conclusion, lower BMI is indicative of AD pathology as assessed with CSF-based biomarkers in demented and nondemented elderly subjects.

Published
2012
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24. Alzheimer's disease cerebrospinal fluid biomarker in cognitively normal subjects

Author

Toledo, Jon B, Zetterberg, Henrik, Osorio, Ricardo S, Taylor-Reinwald, Lisa, Shaw, Leslie M, Trojanowki, John Q, Lee, Virginia, Korecka, Magdalena, Figurski, Michal, Toga, Arthur W, Crawford, Karen, Neu, Scott, Saykin, Andrew J, Vanderstichele, Hugo, Foroud, Tatiana M, Potkin, Steven, Shen, Li, Faber, Kelley, Kim, Sungeun, Nho, Kwangsik, Weiner, Michael W, Thal, Lean, Khachaturian, Zaven, Thal, Leon, Vandijck, Manu, Buckholtz, Neil, Snyder, Peter J, Potter, William, Paul, Steven, Albert, Marylyn, Frank, Richard, Hsiao, John, Kaye, Jeffrey, Hampel, Harald, Quinn, Joseph, Silbert, Lisa, Lind, Betty, Carter, Raina, Dolen, Sara, Schneider, Lon S, Pawluczyk, Sonia, Beccera, Mauricio, Teodoro, Liberty, Spann, Bryan M, Teipel, Stefan, Brewer, James, Vanderswag, Helen, Fleisher, Adam, Heidebrink, Judith L, Lord, Joanne L, Petersen, Ronald, Mason, Sara S, Albers, Colleen S, Knopman, David, Johnson, Kris, Moghekar, Abhay, Doody, Rachelle S, Villanueva-Meyer, Javier, Chowdhury, Munir, Rountree, Susan, Dang, Mimi, Stern, Yaakov, Honig, Lawrence S, Bell, Karen L, Ances, Beau, Morris, John C, Albert, Marilyn, Carroll, Maria, Creech, Mary L, Franklin, Erin, Mintun, Mark A, Schneider, Stacy, Oliver, Angela, Marson, Daniel, Griffith, Randall, Clark, David, Geldmacher, David, Hu, William T, Brockington, John, Roberson, Erik, Love, Marissa Natelson, Grossman, Hillel, Mitsis, Effie, Shah, Raj C, deToledo-Morrell, Leyla, Duara, Ranjan, Varon, Daniel, Greig, Maria T, Monge Argilés, Jose A, Roberts, Peggy, Onyike, Chiadi, D' Agostino, Daniel, Kielb, Stephanie, Galvin, James E, Cerbone, Brittany, Michel, Christina A, Pogorelec, Dana M, Rusinek, Henry, Gorostidi, Ana, de Leon, Mony J, Glodzik, Lidia, De Santi, Susan, Doraiswamy, P Murali, Petrella, Jeffrey R, Borges-Neto, Salvador, Wong, Terence Z, Coleman, Edward, Arnold, Steven E, Karlawish, Jason H, van Harten, Argonde C, Teunissen, Charlotte E, Wolk, David, Clark, Christopher M, Smith, Charles D, Jicha, Greg, Hardy, Peter, Sinha, Partha, Oates, Elizabeth, Conrad, Gary, Lopez, Oscar L, Oakley, MaryAnn, De Deyn, Peter P, Simpson, Donna M, Porsteinsson, Anton P, Goldstein, Bonnie S, Martin, Kim, Makino, Kelly M, Ismail, M Saleem, Brand, Connie, Mulnard, Ruth A, Thai, Gaby, Mc-Adams-Ortiz, Catherine, Hyman, Bradley T, Womack, Kyle, Mathews, Dana, Quiceno, Mary, Levey, Allan I, Lah, James J, Cellar, Janet S, Burns, Jeffrey M, Swerdlow, Russell H, Brooks, William M, Apostolova, Liana, Molinuevo, Jose L, Tingus, Kathleen, Woo, Ellen, Silverman, Daniel H S, Lu, Po H, Bartzokis, George, Graff-Radford, Neill R, Parfitt, Francine, Kendall, Tracy, Johnson, Heather, Farlow, Martin R, Frisoni, Giovanni B, Hake, Ann Marie, Matthews, Brandy R, Brosch, Jared R, Herring, Scott, Hunt, Cynthia, van Dyck, Christopher H, Carson, Richard E, MacAvoy, Martha G, Varma, Pradeep, Chertkow, Howard, Linazasoro, Gurutz, Bergman, Howard, Hosein, Chris, Black, Sandra, Stefanovic, Bojana, Caldwell, Curtis, Hsiung, Ging-Yuek Robin, Feldman, Howard, Mudge, Benita, Assaly, Michele, Finger, Elizabeth, Pasternack, Stephen, Rachisky, Irina, Trost, Dick, Kertesz, Andrew, Bernick, Charles, Munic, Donna, Mesulam, Marek-Marsel, Lipowski, Kristine, Weintraub, MaSandra, Bonakdarpour, Borna, van der Flier, Wiesje M, Kerwin, Diana, Wu, Chuang-Kuo, Johnson, Nancy, Sadowsky, Carl, Villena, Teresa, Turner, Raymond Scott, Johnson, Kathleen, Reynolds, Brigid, Sperling, Reisa A, Johnson, Keith A, Scheltens, Philip, Marshall, Gad, Yesavage, Jerome, Taylor, Joy L, Lane, Barton, Rosen, Allyson, Tinklenberg, Jared, Sabbagh, Marwan N, Belden, Christine M, Jacobson, Sandra A, Sirrel, Sherye A, Blennow, Kaj, Kowall, Neil, Killiany, Ronald, Budson, Andrew E, Norbash, Alexander, Johnson, Patricia Lynn, Obisesan, Thomas O, Wolday, Saba, Allard, Joanne, Lerner, Alan, Ogrocki, Paula, Tatsuoka, Curtis, Fatica, Parianne, Fletcher, Evan, Maillard, Pauline, Olichney, John, DeCarli, Charles, Carmichael, Owen, Kittur, Smita, Borrie, Michael, Lee, T-Y, Trojanowski, John Q, Bartha, Rob, Asthana, Sanjay, Carlsson, Cynthia M, Potkin, Steven G, Preda, Adrian, Nguyen, Dana, Tariot, Pierre, Burke, Anna, Trncic, Nadira, Initiative, Alzheimer’s Disease Neuroimaging, Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Scharre, Douglas W, Kataki, Maria, Adeli, Anahita, Zimmerman, Earl A, Celmins, Dzintra, Brown, Alice D, Pearlson, Godfrey D, Blank, Karen, Anderson, Karen, Flashman, Laura A, Seltzer, Marc, Hynes, Mary L, Santulli, Robert B, Sink, Kaycee M, Gordineer, Leslie, Williamson, Jeff D, Aisen, Paul, Garg, Pradeep, Watkins, Franklin, Ott, Brian R, Querfurth, Henry, Tremont, Geoffrey, Salloway, Stephen, Malloy, Paul, Correia, Stephen, Rosen, Howard J, Miller, Bruce L, Weiner, Michael, Perry, David, Mintzer, Jacobo, Spicer, Kenneth, Bachman, David, Finger, Elizabether, Pasternak, Stephen, Rachinsky, Irina, Rogers, John, Drost, Dick, Pomara, Nunzio, Hernando, Raymundo, Sarrael, Antero, Schultz, Susan K, Ponto, Laura L Boles, Shim, Hyungsub, Smith, Karen Ekstam, Relkin, Norman, Chaing, Gloria, Lin, Michael, Ravdin, Lisa, Smith, Amanda, Raj, Balebail Ashok, Fargher, Kristin, Green, Robert C, Jack, Clifford R, Harvey, Danielle, Jagust, William, Neylan, Thomas, Grafman, Jordan, Montine, Tom, Thomas, Ronald G, Donohue, Michael, Gessert, Devon, Sather, Tamie, Davis, Melissa, Morrison, Rosemary, Martinez-Lage, Pablo, Jiminez, Gus, Hayes, Jacqueline, Finley, Shannon, Bernstein, Matthew, Borowski, Bret, Gunter, Jeff, Senjem, Matt, Kantarci, Kejal, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Landau, Susan, Cairns, Nigel J, Beckett, Laurel, Householder, Erin, Fleischman, Debra, Arfanakis, Konstantinos, Morris, John, James, Olga, Goldstein, Bonnie, Martin, Kimberly S, McAdams-Ortiz, Catherine, Massoglia, Dino, Brawman-Mintzer, Olga, Martinez, Walter, Rosen, Howard, Behan, Kelly, Sorensen, Greg, Johnson, Sterling C, Fruehling, J Jay, Harding, Sandra, Peskind, Elaine R, Petrie, Eric C, Li, Gail, Yesavage, Jerome A, Furst, Ansgar J, Carrillo, Maria, Chao, Steven, Bocchio-Chiavetto, Luisella, Kuller, Lew, Raichle, Marc, Davies, Peter, Fillit, Howard, Hefti, Franz, Holtzman, Davie, Mesulam, M Marcel, Snyder, Peter, Rami, Lorena, Schwartz, Adam, Walter, Sarah, Hansson, Oskar, Balasubramanian, Archana B, Mason, Jennifer, Sim, Iris, Fox, Nick, Sperling, Reisa, Thompson, Paul, Schuff, Norbert, DeCArli, Charles, Vemuri, Prashanthi, Jones, David, Ward, Chad, Engelborghs, Sebastiaan, Mathis, Chet, Neurology, Clinical chemistry, NCA - neurodegeneration, and Clinical sciences

Subjects
Apolipoprotein E, Male, Pathology, Neurology, genetics [Alzheimer Disease], cerebrospinal fluid [Amyloid beta-Peptides], Neuropsychological Tests, Gastroenterology, Severity of Illness Index, etiology [Neurodegenerative Diseases], Alzheimer Disease/cerebrospinal fluid, Cohort Studies, ddc:616.89, Cognition, Cerebrospinal fluid, Genotype, Cognition/physiology, Aged, 80 and over, Medicine(all), physiology [Cognition], Age Factors, Neurodegenerative Diseases, Middle Aged, amyloid beta-protein (1-42), cerebrospinal fluid [Alzheimer Disease], Biomarker (medicine), Cohort studies, Female, Alzheimer's disease, Peptide Fragments/cerebrospinal fluid, Psychology, Adult, medicine.medical_specialty, tau Proteins, Neurodegenerative Diseases/etiology, physiopathology [Alzheimer Disease], Apolipoproteins E, Alzheimer Disease, Internal medicine, mental disorders, medicine, Dementia, Humans, ddc:610, cerebrospinal fluid [Peptide Fragments], Pathological, Aged, Analysis of Variance, Amyloid beta-Peptides, tau Proteins/cerebrospinal fluid, Original Articles, medicine.disease, Peptide Fragments, Amyloid beta-Peptides/cerebrospinal fluid, cerebrospinal fluid [tau Proteins], genetics [Apolipoproteins E], Neurology (clinical), Human medicine, aged, 80 and over, Apolipoproteins E/genetics
Abstract

In a large multicentre sample of cognitively normal subjects, as a function of age, gender and APOE genotype, we studied the frequency of abnormal cerebrospinal fluid levels of Alzheimers disease biomarkers including: total tau, phosphorylated tau and amyloid-β1-42. Fifteen cohorts from 12 different centres with either enzyme-linked immunosorbent assays or Luminex® measurements were selected for this study. Each centre sent nine new cerebrospinal fluid aliquots that were used to measure total tau, phosphorylated tau and amyloid-β1-42 in the Gothenburg laboratory. Seven centres showed a high correlation with the new Gothenburg measurements; therefore, 10 cohorts from these centres are included in the analyses here (1233 healthy control subjects, 4084 years old). Amyloid-β amyloid status (negative or positive) and neurodegeneration status (negative or positive) was established based on the pathological cerebrospinal fluid Alzheimers disease cut-off values for cerebrospinal fluid amyloid-β1-42 and total tau, respectively. While gender did not affect these biomarker values, APOE genotype modified the age-associated changes in cerebrospinal fluid biomarkers such that APOE ε4 carriers showed stronger age-related changes in cerebrospinal fluid phosphorylated tau, total tau and amyloid-β1-42 values and APOE ε2 carriers showed the opposite effect. At 40 years of age, 76% of the subjects were classified as amyloid negative, neurodegeneration negative and their frequency decreased to 32% at 85 years. The amyloid-positive neurodegeneration-negative group remained stable. The amyloid-negative neurodegeneration-positive group frequency increased slowly from 1% at 44 years to 16% at 85 years, but its frequency was not affected by APOE genotype. The amyloid-positive neurodegeneration-positive frequency increased from 1% at 53 years to 28% at 85 years. Abnormally low cerebrospinal fluid amyloid-β1-42 levels were already frequent in midlife and APOE genotype strongly affects the levels of cerebrospinal fluid amyloid-β1-42, phosphorylated tau and total tau across the lifespan without influencing the frequency of subjects with suspected non-amyloid pathology.

Published
2015
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25. Applying automated MR-based diagnostic methods to the memory clinic: A prospective study

Author

Klöppel, Stefan, Peter, Jessica, Schroeter, Matthias L, Nho, Kwangsik, Weiner, Michael W, Thal, Lean, Khachaturian, Zaven, Thal, Leon, Buckholtz, Neil, Snyder, Peter J, Potter, William, Paul, Steven, Perneczky, Robert, Albert, Marylyn, Frank, Richard, Hsiao, John, Kaye, Jeffrey, Quinn, Joseph, Silbert, Lisa, Lind, Betty, Carter, Raina, Dolen, Sara, Häussermann, Peter, Schneider, Lon S, Pawluczyk, Sonia, Beccera, Mauricio, Teodoro, Liberty, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Fleisher, Adam, Heidebrink, Judith L, Lord, Joanne L, Vach, Werner, Petersen, Ronald, Mason, Sara S, Albers, Colleen S, Knopman, David, Johnson, Kris, Doody, Rachelle S, Villanueva-Meyer, Javier, Chowdhury, Munir, Rountree, Susan, Dang, Mimi, Urbach, Horst, Stern, Yaakov, Honig, Lawrence S, Bell, Karen L, Ances, Beau, Morris, John C, Carroll, Maria, Creech, Mary L, Franklin, Erin, Mintun, Mark A, Schneider, Stacy, Teipel, Stefan, Oliver, Angela, Marson, Daniel, Griffith, Randall, Clark, David, Geldmacher, David, Brockington, John, Roberson, Erik, Love, Marissa Natelson, Grossman, Hillel, Mitsis, Effie, Hüll, Michael, Shah, Raj C, deToledo-Morrell, Leyla, Duara, Ranjan, Varon, Daniel, Greig, Maria T, Roberts, Peggy, Albert, Marilyn, Onyike, Chiadi, D'Agostino, Daniel, Kielb, Stephanie, Abdulkadir, Ahmed, Galvin, James E, Cerbone, Brittany, Michel, Christina A, Pogorelec, Dana M, Rusinek, Henry, de Leon, Mony J, Glodzik, Lidia, De Santi, Susan, Doraiswamy, P Murali, Petrella, Jeffrey R, Initiative, Alzheimer’s Disease Neuroimaging, Wong, Terence Z, Coleman, Edward, Arnold, Steven E, Karlawish, Jason H, Wolk, David, Clark, Christopher M, Smith, Charles D, Jicha, Greg, Hardy, Peter, Sinha, Partha, Oates, Elizabeth, Conrad, Gary, Lopez, Oscar L, Oakley, MaryAnn, Simpson, Donna M, Porsteinsson, Anton P, Goldstein, Bonnie S, Martin, Kim, Makino, Kelly M, Ismail, M Saleem, Ludl, Anna, Aisen, Paul, Brand, Connie, Mulnard, Ruth A, Thai, Gaby, Mc-Adams-Ortiz, Catherine, Womack, Kyle, 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Subjects
Male, Aging, Support Vector Machine, 030218 nuclear medicine & medical imaging, pathology [Alzheimer Disease], pathology [Aging], diagnosis [Frontotemporal Dementia], methods [Magnetic Resonance Imaging], 0302 clinical medicine, pathology [Brain], pathology [White Matter], Prospective Studies, Medical diagnosis, Prospective cohort study, General Neuroscience, diagnosis [Alzheimer Disease], Brain, General Medicine, Middle Aged, Magnetic Resonance Imaging, White Matter, Psychiatry and Mental health, Clinical Psychology, machine learning, Frontotemporal Dementia, Disease Progression, Female, Alzheimer's disease, Psychology, diagnosis [Lewy Body Disease], methods [Imaging, Three-Dimensional], Research Article, Frontotemporal dementia, Lewy Body Disease, medicine.medical_specialty, Diagnosis, Differential, Dementia diagnostics, 03 medical and health sciences, Imaging, Three-Dimensional, Physical medicine and rehabilitation, Alzheimer Disease, mental disorders, medicine, Humans, Dementia, ddc:610, Psychiatry, Aged, Lewy body, Memory clinic, pathology [Lewy Body Disease], medicine.disease, Hyperintensity, pathology [Frontotemporal Dementia], Linear Models, prognosis, Geriatrics and Gerontology, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract

Several studies have demonstrated that fully automated pattern recognition methods applied to structural magnetic resonance imaging (MRI) aid in the diagnosis of dementia, but these conclusions are based on highly preselected samples that significantly differ from that seen in a dementia clinic. At a single dementia clinic, we evaluated the ability of a linear support vector machine trained with completely unrelated data to differentiate between Alzheimer’s disease (AD), frontotemporal dementia (FTD), Lewy body dementia, and healthy aging based on 3D-T1 weighted MRI data sets. Furthermore, we predicted progression to AD in subjects with mild cognitive impairment (MCI) at baseline and automatically quantified white matter hyperintensities from FLAIR-images. Separating additionally recruited healthy elderly from those with dementia was accurate with an area under the curve (AUC) of 0.97 (according to Fig. 4). Multi-class separation of patients with either AD or FTD from other included groups was good on the training set (AUC > 0.9) but substantially less accurate (AUC = 0.76 for AD, AUC = 0.78 for FTD) on 134 cases from the local clinic. Longitudinal data from 28 cases with MCI at baseline and appropriate follow-up data were available. The computer tool discriminated progressive from stable MCI with AUC = 0.73, compared to AUC = 0.80 for the training set. A relatively low accuracy by clinicians (AUC = 0.81) illustrates the difficulties of predicting conversion in this heterogeneous cohort. This first application of a MRI-based pattern recognition method to a routine sample demonstrates feasibility, but also illustrates that automated multi-class differential diagnoses have to be the focus of future methodological developments and application studies

Published
2015
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