603 results on '"Graff-Radford, Jonathan"'
Search Results
2. Can white matter hyperintensities based Fazekas visual assessment scales inform about Alzheimer’s disease pathology in the population?
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Pradeep, Aishwarya, Raghavan, Sheelakumari, Przybelski, Scott A., Preboske, Gregory M., Schwarz, Christopher G., Lowe, Val J., Knopman, David S., Petersen, Ronald C., Jack, Jr, Clifford R., Graff-Radford, Jonathan, Cogswell, Petrice M., and Vemuri, Prashanthi
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- 2024
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3. Gliovascular transcriptional perturbations in Alzheimer’s disease reveal molecular mechanisms of blood brain barrier dysfunction
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İş, Özkan, Wang, Xue, Reddy, Joseph S., Min, Yuhao, Yilmaz, Elanur, Bhattarai, Prabesh, Patel, Tulsi, Bergman, Jeremiah, Quicksall, Zachary, Heckman, Michael G., Tutor-New, Frederick Q., Can Demirdogen, Birsen, White, Launia, Koga, Shunsuke, Krause, Vincent, Inoue, Yasuteru, Kanekiyo, Takahisa, Cosacak, Mehmet Ilyas, Nelson, Nastasia, Lee, Annie J., Vardarajan, Badri, Mayeux, Richard, Kouri, Naomi, Deniz, Kaancan, Carnwath, Troy, Oatman, Stephanie R., Lewis-Tuffin, Laura J., Nguyen, Thuy, Carrasquillo, Minerva M., Graff-Radford, Jonathan, Petersen, Ronald C., Jr Jack, Clifford R., Kantarci, Kejal, Murray, Melissa E., Nho, Kwangsik, Saykin, Andrew J., Dickson, Dennis W., Kizil, Caghan, Allen, Mariet, and Ertekin-Taner, Nilüfer
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- 2024
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4. Influences of amyloid-β and tau on white matter neurite alterations in dementia with Lewy bodies
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Mak, Elijah, Reid, Robert I., Przybelski, Scott A., Lesnick, Timothy G., Schwarz, Christopher G., Senjem, Matthew L., Raghavan, Sheelakumari, Vemuri, Prashanthi, Jack, Jr, Clifford R., Min, Hoon Ki, Jain, Manoj K., Miyagawa, Toji, Forsberg, Leah K., Fields, Julie A., Savica, Rodolfo, Graff-Radford, Jonathan, Jones, David T., Botha, Hugo, St. Louis, Erik K., Knopman, David S., Ramanan, Vijay K., Dickson, Dennis W., Graff-Radford, Neill R., Ferman, Tanis J., Petersen, Ronald C., Lowe, Val J., Boeve, Bradley F., O’Brien, John T., and Kantarci, Kejal
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- 2024
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5. Diagnosis and Management of Posterior Cortical Atrophy
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Yong, Keir XX, Graff-Radford, Jonathan, Ahmed, Samrah, Chapleau, Marianne, Ossenkoppele, Rik, Putcha, Deepti, Rabinovici, Gil D, Suarez-Gonzalez, Aida, Schott, Jonathan M, Crutch, Sebastian, and Harding, Emma
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Biomedical and Clinical Sciences ,Ophthalmology and Optometry ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Neurodegenerative ,Dementia ,Brain Disorders ,Neurosciences ,Alzheimer's Disease ,Acquired Cognitive Impairment ,Aging ,4.2 Evaluation of markers and technologies ,Detection ,screening and diagnosis ,4.1 Discovery and preclinical testing of markers and technologies ,Good Health and Well Being ,Posterior cortical atrophy ,Alzheimer's disease ,Visual variant Alzheimer's disease ,Visual processing ,Atypical Alzheimer's disease ,Treatment ,Alzheimer’s disease ,Atypical Alzheimer’s disease ,Visual variant Alzheimer’s disease - Abstract
Purpose of reviewThe study aims to provide a summary of recent developments for diagnosing and managing posterior cortical atrophy (PCA). We present current efforts to improve PCA characterisation and recommendations regarding use of clinical, neuropsychological and biomarker methods in PCA diagnosis and management and highlight current knowledge gaps.Recent findingsRecent multi-centre consensus recommendations provide PCA criteria with implications for different management strategies (e.g. targeting clinical features and/or disease). Studies emphasise the preponderance of primary or co-existing Alzheimer's disease (AD) pathology underpinning PCA. Evidence of approaches to manage PCA symptoms is largely derived from small studies.SummaryPCA diagnosis is frequently delayed, and people are likely to receive misdiagnoses of ocular or psychological conditions. Current treatment of PCA is symptomatic - pharmacological and non-pharmacological - and the use of most treatment options is based on small studies or expert opinion. Recommendations for non-pharmacological approaches include interdisciplinary management tailored to the PCA clinical profile - visual-spatial - rather than memory-led, predominantly young onset - and psychosocial implications. Whilst emerging disease-modifying treatments have not been tested in PCA, an accurate and timely diagnosis of PCA and determining underlying pathology is of increasing importance in the advent of disease-modifying therapies for AD and other albeit rare causes of PCA.
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- 2023
6. Preclinical Alzheimer Disease and the Electronic Health Record
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Gale, Seth A, Heidebrink, Judith, Grill, Joshua, Graff-Radford, Jonathan, Jicha, Gregory A, Menard, William, Nowrangi, Milap, Sami, Susie, Sirivong, Shirley, Walter, Sarah, and Karlawish, Jason
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Biomedical and Clinical Sciences ,Neurosciences ,Clinical Sciences ,Clinical Research ,Acquired Cognitive Impairment ,Brain Disorders ,Health Services ,Aging ,Dementia ,Neurodegenerative ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Alzheimer's Disease ,Neurological ,Good Health and Well Being ,Humans ,United States ,Electronic Health Records ,Alzheimer Disease ,Confidentiality ,Disclosure ,Cognitive Sciences ,Neurology & Neurosurgery ,Clinical sciences - Abstract
Because information technologies are increasingly used to improve clinical research and care, personal health information (PHI) has wider dissemination than ever before. The 21st Century Cures Act in the United States now requires patient access to many components of the electronic health record (EHR). Although these changes promise to enhance communication and information sharing, they also bring higher risks of unwanted disclosure, both within and outside of health systems. Having preclinical Alzheimer disease (AD), where biological markers of AD are identified before the onset of any symptoms, is sensitive PHI. Because of the melding of ideas between preclinical and "clinical" (symptomatic) AD, unwanted disclosure of preclinical AD status can lead to personal harms of stigma, discrimination, and changes to insurability. At present, preclinical AD is identified mainly in research settings, although the consensus criteria for a clinical diagnosis may soon be established. There is not yet adequate legal protection for the growing number of individuals with preclinical AD. Some PHI generated in preclinical AD trials has clinical significance, necessitating urgent evaluations and longitudinal monitoring in care settings. AD researchers are obligated to both respect the confidentiality of participants' sensitive PHI and facilitate providers' access to necessary information, often requiring disclosure of preclinical AD status. The AD research community must continue to develop ethical, participant-centered practices related to confidentiality and disclosure, with attention to sensitive information in the EHR. These practices will be essential for translation into the clinic and across health systems and society at large.
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- 2022
7. Differences in Motor Features of C9orf72, MAPT, or GRN Variant Carriers With Familial Frontotemporal Lobar Degeneration.
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Tipton, Philip Wade, Deutschlaender, Angela B, Savica, Rodolfo, Heckman, Michael G, Brushaber, Danielle E, Dickerson, Bradford C, Gavrilova, Ralitza H, Geschwind, Daniel H, Ghoshal, Nupur, Graff-Radford, Jonathan, Graff-Radford, Neill R, Grossman, Murray, Hsiung, Ging-Yuek R, Huey, Edward D, Irwin, David John, Jones, David T, Knopman, David S, McGinnis, Scott M, Rademakers, Rosa, Ramos, Eliana Marisa, Forsberg, Leah K, Heuer, Hilary W, Onyike, Chiadi, Tartaglia, Carmela, Domoto-Reilly, Kimiko, Roberson, Erik D, Mendez, Mario F, Litvan, Irene, Appleby, Brian S, Grant, Ian, Kaufer, Daniel, Boxer, Adam L, Rosen, Howard J, Boeve, Brad F, and Wszolek, Zbigniew K
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C9orf72 Protein: genetics ,Frontotemporal Dementia: diagnosis ,genetics ,Frontotemporal Lobar Degeneration: genetics ,Granulins: genetics ,Humans ,Mutation: genetics ,Progranulins: genetics ,Quality of Life ,Supranuclear Palsy ,Progressive ,tau Proteins: genetics - Abstract
Familial frontotemporal lobar degeneration (f-FTLD) is a phenotypically heterogeneous spectrum of neurodegenerative disorders most often caused by variants within chromosome 9 open reading frame 72 (C9orf72), microtubule-associated protein tau (MAPT), or granulin (GRN). The phenotypic association with each of these genes is incompletely understood. We hypothesized that the frequency of specific clinical features would correspond with different genes.We screened the Advancing Research and Treatment in Frontotemporal Lobar Degeneration (ARTFL)/Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS)/ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration Consortium for symptomatic carriers of pathogenic variants in C9orf72, MAPT, or GRN. We assessed for clinical differences among these 3 groups based on data recorded as part of a detailed neurologic examination, the Progressive Supranuclear Palsy Rating Scale, Progressive Supranuclear Palsy-Quality of Life Rating Scale, Unified Parkinson's Disease Rating Scale Part III (motor items), and the Amyotrophic Lateral Sclerosis Functional Rating Scale, revised version. Data were analyzed using Kruskal-Wallis and Wilcoxon rank-sum tests and Fisher exact test.We identified 184 symptomatic participants who had a single pathogenic variant in C9orf72 (n = 88), MAPT (n = 53), or GRN (n = 43). Motor symptom age at onset was earliest in the MAPT participants followed by C9orf72, whereas the GRN pathogenic variant carriers developed symptoms later. C9orf72 participants more often had fasciculations, muscle atrophy, and weakness, whereas parkinsonism was less frequent. Vertical oculomotor abnormalities were more common in the MAPT cohort, whereas apraxia and focal limb dystonia occurred more often in participants with GRN variants.We present a large comparative study of motor features in C9orf72, MAPT, and GRN pathogenic variant carriers with symptomatic f-FTLD. Our findings demonstrate characteristic phenotypic differences corresponding with specific gene variants that increase our understanding of the genotype-phenotype relationship in this complex spectrum of neurodegenerative disorders.NCT02365922, NCT02372773, and NCT04363684.
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- 2022
8. Quantifying CSF Dynamics disruption in idiopathic normal pressure hydrocephalus using phase lag between transmantle pressure and volumetric flow rate
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Karki, Pragalv, Sincomb, Stephanie, Murphy, Matthew C., Gunter, Jeffrey L., Senjem, Matthew L., Graff-Radford, Jonathan, Jones, David T., Botha, Hugo, Cutsforth-Gregory, Jeremy K., Elder, Benjamin D., Huston, John, III, and Cogswell, Petrice M.
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- 2024
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9. Frequency of LATE neuropathologic change across the spectrum of Alzheimer’s disease neuropathology: combined data from 13 community-based or population-based autopsy cohorts
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Nelson, Peter T, Brayne, Carol, Flanagan, Margaret E, Abner, Erin L, Agrawal, Sonal, Attems, Johannes, Castellani, Rudolph J, Corrada, Maria M, Cykowski, Matthew D, Di, Jing, Dickson, Dennis W, Dugger, Brittany N, Ervin, John F, Fleming, Jane, Graff-Radford, Jonathan, Grinberg, Lea T, Hokkanen, Suvi RK, Hunter, Sally, Kapasi, Alifiya, Kawas, Claudia H, Keage, Hannah AD, Keene, C Dirk, Kero, Mia, Knopman, David S, Kouri, Naomi, Kovacs, Gabor G, Labuzan, Sydney A, Larson, Eric B, Latimer, Caitlin S, Leite, Renata EP, Matchett, Billie J, Matthews, Fiona E, Merrick, Richard, Montine, Thomas J, Murray, Melissa E, Myllykangas, Liisa, Nag, Sukriti, Nelson, Ruth S, Neltner, Janna H, Nguyen, Aivi T, Petersen, Ronald C, Polvikoski, Tuomo, Reichard, R Ross, Rodriguez, Roberta D, Suemoto, Claudia K, Wang, Shih-Hsiu J, Wharton, Stephen B, White, Lon, and Schneider, Julie A
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Biomedical and Clinical Sciences ,Neurosciences ,Clinical Research ,Alzheimer's Disease ,Acquired Cognitive Impairment ,Aging ,Brain Disorders ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Neurodegenerative ,Alzheimer's Disease Related Dementias (ADRD) ,Dementia ,Behavioral and Social Science ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Aged ,80 and over ,Alzheimer Disease ,Amyloid ,Autopsy ,DNA-Binding Proteins ,Frontotemporal Dementia ,Humans ,Male ,Nervous System Diseases ,Plaque ,Amyloid ,ADRD ,Tau ,NFT ,Nondemented ,Oldest-old ,Epidemiology ,APOE ,ROS-MAP ,Vantaa 85+ ,HAAS ,CFAS ,CC75C ,The 90+study ,ACT ,VITA ,Nun study ,Biobank for aging studies ,Mayo clinic study of aging ,The 90 + study ,Vantaa 85 + ,Clinical Sciences ,Neurology & Neurosurgery - Abstract
Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) and Alzheimer's disease neuropathologic change (ADNC) are each associated with substantial cognitive impairment in aging populations. However, the prevalence of LATE-NC across the full range of ADNC remains uncertain. To address this knowledge gap, neuropathologic, genetic, and clinical data were compiled from 13 high-quality community- and population-based longitudinal studies. Participants were recruited from United States (8 cohorts, including one focusing on Japanese-American men), United Kingdom (2 cohorts), Brazil, Austria, and Finland. The total number of participants included was 6196, and the average age of death was 88.1 years. Not all data were available on each individual and there were differences between the cohorts in study designs and the amount of missing data. Among those with known cognitive status before death (n = 5665), 43.0% were cognitively normal, 14.9% had MCI, and 42.4% had dementia-broadly consistent with epidemiologic data in this age group. Approximately 99% of participants (n = 6125) had available CERAD neuritic amyloid plaque score data. In this subsample, 39.4% had autopsy-confirmed LATE-NC of any stage. Among brains with "frequent" neuritic amyloid plaques, 54.9% had comorbid LATE-NC, whereas in brains with no detected neuritic amyloid plaques, 27.0% had LATE-NC. Data on LATE-NC stages were available for 3803 participants, of which 25% had LATE-NC stage > 1 (associated with cognitive impairment). In the subset of individuals with Thal Aβ phase = 0 (lacking detectable Aβ plaques), the brains with LATE-NC had relatively more severe primary age-related tauopathy (PART). A total of 3267 participants had available clinical data relevant to frontotemporal dementia (FTD), and none were given the clinical diagnosis of definite FTD nor the pathological diagnosis of frontotemporal lobar degeneration with TDP-43 inclusions (FTLD-TDP). In the 10 cohorts with detailed neurocognitive assessments proximal to death, cognition tended to be worse with LATE-NC across the full spectrum of ADNC severity. This study provided a credible estimate of the current prevalence of LATE-NC in advanced age. LATE-NC was seen in almost 40% of participants and often, but not always, coexisted with Alzheimer's disease neuropathology.
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- 2022
10. Alzheimer Disease Cerebrospinal Fluid Biomarkers in a Tertiary Neurology Practice
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Li, Wentao, Petersen, Ronald C., Algeciras-Schimnich, Alicia, Cogswell, Petrice M., Bornhorst, Joshua A., Kremers, Walter K., Boeve, Bradley F., Jones, David T., Botha, Hugo, Ramanan, Vijay K., Knopman, David S., Savica, Rodolfo, Josephs, Keith A., Cliatt-Brown, Christine, Andersen, Emerlee, Day, Gregory S., Graff-Radford, Neill R., Ertekin-Taner, Nilüfer, Lachner, Christian, Wicklund, Meredith, van Harten, Argonde, Woodruff, Bryan K., Caselli, Richard J., and Graff-Radford, Jonathan
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- 2024
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11. Altered structural and functional connectivity in Posterior Cortical Atrophy and Dementia with Lewy bodies
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Singh, Neha Atulkumar, Goodrich, Austin W., Graff-Radford, Jonathan, Machulda, Mary M., Sintini, Irene, Carlos, Arenn F., Robinson, Carling G., Reid, Robert I., Lowe, Val J., Jack, Clifford R., Jr, Petersen, Ronald C., Boeve, Bradley F., Josephs, Keith A., Kantarci, Kejal, and Whitwell, Jennifer L.
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- 2024
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12. Demographic and psychosocial factors associated with the decision to learn mutation status in familial frontotemporal dementia and the impact of disclosure on mood
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Bajorek, Lynn P, Kiekhofer, Rachel, Hall, Matthew, Taylor, Joanne, Lucente, Diane E, Brushaber, Danielle, Appleby, Brian, Coppolla, Giovanni, Bordelon, Yvette M, Botha, Hugo, Dickerson, Brad C, Dickson, Dennis W, Domoto‐Reilly, Kimiko, Fagan, Anne M, Fields, Julie A, Fong, Jamie C, Foroud, Tatiana M, Forsberg, Leah K, Galasko, Doug R, Gavrilova, Ralitza H, Geschwind, Daniel H, Ghoshal, Nupur, Goldman, Jill, Graff‐Radford, Neill R, Graff‐Radford, Jonathan, Grant, Ian, Grossman, Murray, Heuer, Hilary W, Hsiung, Ging‐Yuek Robin, Huang, Eric J, Huey, Edward D, Irwin, David J, Jones, David T, Kantarci, Kejal, Kornak, John, Kremers, Walter K, Lapid, Maria I, Leger, Gabriel C, Litvan, Irene, Ljubenkov, Peter A, Mackenzie, Ian R, Masdeu, Joseph C, McMillan, Corey, Mendez, Mario, Miller, Bruce L, Miyagawa, Toji, Onyike, Chiadi U, Pascual, Belen, Pedraza, Otto, Petrucelli, Leonard, Rademakers, Rosa, Ramos, Eliana Marisa, Rankin, Katherine P, Rascovsky, Katya, Rexach, Jessica E, Ritter, Aaron, Roberson, Erik D, Savica, Rodolfo, Rojas, Julio C, Seeley, William W, Tartaglia, Maria Carmela, Toga, Arthur W, Weintraub, Sandra, Wong, Bonnie, Wszolek, Zbigniew, Vandevrede, Lawren, Boeve, Bradley F, Boxer, Adam L, Rosen, Howard J, Staffaroni, Adam M, and Consortium, ALLFTD
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Clinical Trials and Supportive Activities ,Aging ,Dementia ,Genetics ,Neurodegenerative ,Clinical Research ,Prevention ,Acquired Cognitive Impairment ,Mental Health ,Depression ,Brain Disorders ,Clinical Sciences ,Neurosciences ,Geriatrics - Abstract
BACKGROUND: Up to 30% of frontotemporal dementia (FTD) cases are due to known pathogenic mutations (f-FTD). Little is known about the factors that predict who will choose to learn their results. Upcoming clinical trials in f-FTD may require disclosure prior to enrollment, even before symptom onset, and thus characterizing this sample is important. Furthermore, understanding the mood impacts of genetic disclosure may guide genetic counseling practice. METHOD: F-FTD participants (n=568) from families with a known pathogenic mutation (MAPT, C9orf72, GRN) were enrolled through the ARTFL/LEFFTDS Longitudinal FTD Study (ALLFTD) and provided the opportunity for disclosure. Independent-sample t-tests compared demographic and psychosocial factors between participants who did and did not receive their results. In participants who were asymptomatic at baseline and follow up (n=199,177 with follow-up), linear mixed effects modeling was used to investigate pre- to post-disclosure changes in the 15-item Geriatric Depression Scale (GDS). RESULT: Of participants from families with a known pathogenic genetic mutation, 47% received genetic disclosure. Of the asymptomatic subset (n=386), 36% know their mutation status. Of these asymptomatic learners, 46% received disclosure through the study, and the remainder learned their genetic status prior to study enrollment. None of the analyzed demographic or psychosocial factors (i.e., sex, age, education, having children) differed between learners and non-learners (p's > 0.05). In the longitudinal analysis of asymptomatic participants, learners showed a pre- to post-increase of 0.31 GDS points/year (95%CI: -0.08, 0.69, p = 0.12), whereas non-learners showed a slight decline (-0.15 points/year, 95%CI: -0.36, 0.06, p = 0.16). This difference between slopes was statistically significant (0.46, 95%CI: 0.02, 0.89, p=0.04) but represents a small clinical effect. In asymptomatic learners, slopes did not differ based on mutation status (0.28, 95%CI: -0.66, 1.20, p=0.55). Conclusions were based on the estimates and full range of confidence intervals. CONCLUSION: The majority of asymptomatic research participants do not know their genetic status, which will be a consideration for clinical trials that require disclosure. No considered demographic factors were strongly associated with the decision to receive disclosure. The findings suggest that disclosure in asymptomatic participants has minimal impact on depressive symptoms regardless of genetic results.
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- 2021
13. Gearing up for the future: Exploring facilitators and barriers to inform clinical trial design in frontotemporal lobar degeneration
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Banga, Yasmin B, Lai, Yujung, Kim, Priscilla, Boeve, Bradley F, Boxer, Adam L, Rosen, Howard J, Forsberg, Leah K, Heuer, Hilary W, Brushaber, Danielle, Appleby, Brian, Biernacka, Joanna M, Bordelon, Yvette M, Botha, Hugo, Bozoki, Andrea C, Brannelly, Patrick, Dickerson, Brad C, Dickinson, Susan, Dickson, Dennis W, Domoto‐Reilly, Kimiko, Faber, Kelley, Fagan, Anne M, Fields, Julie A, Fishman, Ann, Foroud, Tatiana M, Galasko, Doug R, Gavrilova, Ralitza H, Gendron, Tania F, Geschwind, Daniel H, Ghoshal, Nupur, Goldman, Jill, Graff‐Radford, Jonathan, Graff‐Radford, Neill R, Grant, Ian, Grossman, Murray, Hsiung, Ging‐Yuek Robin, Huang, Eric J, Huey, Edward D, Irwin, David J, Jones, David T, Kantarci, Kejal, Karydas, Anna M, Kaufer, Daniel, Knopman, David S, Kramer, Joel H, Kremers, Walter K, Kornak, John, Kukull, Walter A, Lagone, Emma, Leger, Gabriel C, Litvan, Irene, Ljubenkov, Peter A, Lucente, Diane E, Mackenzie, Ian R, Manoochehri, Masood, Masdeu, Joseph C, McGinnis, Scott, Mendez, Mario F, Miller, Bruce L, Miyagawa, Toji, Nelson, Kevin M, Onyike, Chiadi U, Pantelyat, Alex, Pascual, Belen, Pearlman, Rodney, Petrucelli, Leonard, Pottier, Cyril P, Rademakers, Rosa, Ramos, Eliana Marisa, Rankin, Katherine P, Rascovsky, Katya, Rexach, Jessica E, Ritter, Aaron, Roberson, Erik D, Rojas, Julio C, Sabbagh, Marwan N, Salmon, David P, Savica, Rodolfo, Seeley, William W, Staffaroni, Adam M, Syrjanen, Jeremy A, Tartaglia, Maria Carmela, Tatton, Nadine, Taylor, Jack C, Toga, Arthur W, Weintraub, Sandra, Wheaton, Diana, Wong, Benjamin, Wszolek, Zbigniew, and Consortium, ALLFTD
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Frontotemporal Dementia (FTD) ,Rare Diseases ,Behavioral and Social Science ,Neurodegenerative ,Acquired Cognitive Impairment ,Basic Behavioral and Social Science ,Brain Disorders ,Clinical Research ,Dementia ,Aging ,Biomedical Imaging ,Clinical Trials and Supportive Activities ,Neurological ,Clinical Sciences ,Neurosciences ,Geriatrics - Abstract
BACKGROUND: Frontotemporal lobar degeneration (FTLD) refers to a group of neurodegenerative conditions, affecting the frontal and/or temporal lobes. Ongoing research has provided insight into developing clinical trials for FTLD and key clinical measures such as structural MRI. To inform clinical trial design and optimize participation, it is imperative to explore facilitators and barriers for potential candidates. OBJECTIVE: The objective of this study is to explore facilitators and barriers to participating in future clinical trials for FTLD. METHODS: Advancing Research and Treatment for Frontotemporal Lobar Degeneration (ARTFL) and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS) are observational studies focused on characterizing FTLD syndromes in preparation for clinical trials. The 584 participants enrolled across 18 research sites in the United States and Canada completed a survey assessing interest in clinical trial participation. RESULTS: 29% of respondents self-reported as patients (63±10 years), 26% self-reported as caregivers answering on behalf of patients (65±10 years), and 45% self-reported as healthy but at risk for FTLD (48±14 years). Travel reimbursement was the most common factor reported to positively influence participation (≧66%), with the healthy but at risk group showing the strongest endorsement (83%). Cost and time involved in travel were possible barriers for about half of the patients (48%) and healthy but at risk respondents (53%). The respondents value receiving feedback on the study findings (≧80%) and being informed of their individual disease progression (≧75%). Particularly, keeping participation confidential was very important for the healthy but at risk group (62%). In regard to research assessments, most participants demonstrated a high interest in physical and neurological exams at a research center (≧87%) whereas only half were interested in doing more invasive procedures such as the lumbar puncture (≧52%). Overall, respondents showed a positive attitude and support for research participation (≧77%) and trusted that their health information would remain confidential in a clinical trial (≧53%). CONCLUSIONS: Favorable attitudes and interest towards medical research exist among participants. To optimize participation, clinical trials should allocate funding for travel and involve participants in feedback about study results and their disease progression. Alternatives to invasive assessments may increase participation.
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- 2021
14. Speech-language within and between network disruptions in primary progressive aphasia variants
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Singh-Reilly, Neha, Botha, Hugo, Duffy, Joseph R., Clark, Heather M., Utianski, Rene L., Machulda, Mary M., Graff-Radford, Jonathan, Schwarz, Christopher G., Petersen, Ronald C., Lowe, Val J., Jack, Clifford R., Jr, Josephs, Keith A., and Whitwell, Jennifer L.
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- 2024
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15. Complex relationships of socioeconomic status with vascular and Alzheimer’s pathways on cognition
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Shir, Dror, Graff-Radford, Jonathan, Fought, Angela J., Lesnick, Timothy G., Przybelski, Scott A., Vassilaki, Maria, Lowe, Val J., Knopman, David S., Machulda, Mary M., Petersen, Ronald C., Jack, Clifford R., Jr, Mielke, Michelle M., and Vemuri, Prashanthi
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- 2024
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16. Assessing network degeneration and phenotypic heterogeneity in genetic frontotemporal lobar degeneration by decoding FDG-PET
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Corriveau-Lecavalier, Nick, Barnard, Leland R., Przybelski, Scott A., Gogineni, Venkatsampath, Botha, Hugo, Graff-Radford, Jonathan, Ramanan, Vijay K., Forsberg, Leah K., Fields, Julie A., Machulda, Mary M., Rademakers, Rosa, Gavrilova, Ralitza H., Lapid, Maria I., Boeve, Bradley F., Knopman, David S., Lowe, Val J., Petersen, Ronald C., Jack, Clifford R., Kantarci, Kejal, and Jones, David T.
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- 2024
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17. New insights into atypical Alzheimer's disease in the era of biomarkers
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Graff-Radford, Jonathan, Yong, Keir XX, Apostolova, Liana G, Bouwman, Femke H, Carrillo, Maria, Dickerson, Bradford C, Rabinovici, Gil D, Schott, Jonathan M, Jones, David T, and Murray, Melissa E
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Biomedical and Clinical Sciences ,Neurosciences ,Clinical Sciences ,Aging ,Brain Disorders ,Dementia ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Neurodegenerative ,Alzheimer's Disease ,Acquired Cognitive Impairment ,Detection ,screening and diagnosis ,4.1 Discovery and preclinical testing of markers and technologies ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Good Health and Well Being ,Age of Onset ,Aged ,Aged ,80 and over ,Alzheimer Disease ,Biomarkers ,Female ,Humans ,Male ,Middle Aged ,Neuroimaging ,Neurology & Neurosurgery ,Clinical sciences - Abstract
Most patients with Alzheimer's disease present with amnestic problems; however, a substantial proportion, over-represented in young-onset cases, have atypical phenotypes including predominant visual, language, executive, behavioural, or motor dysfunction. In the past, these individuals often received a late diagnosis; however, availability of CSF and PET biomarkers of Alzheimer's disease pathologies and incorporation of atypical forms of Alzheimer's disease into new diagnostic criteria increasingly allows them to be more confidently diagnosed early in their illness. This early diagnosis in turn allows patients to be offered tailored information, appropriate care and support, and individualised treatment plans. These advances will provide improved access to clinical trials, which often exclude atypical phenotypes. Research into atypical Alzheimer's disease has revealed previously unrecognised neuropathological heterogeneity across the Alzheimer's disease spectrum. Neuroimaging, genetic, biomarker, and basic science studies are providing key insights into the factors that might drive selective vulnerability of differing brain networks, with potential mechanistic implications for understanding typical late-onset Alzheimer's disease.
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- 2021
18. Studying the natural history of frontotemporal lobar degeneration (FTLD): The ARTFL LEFFTDS longitudinal FTLD (ALLFTD) protocol
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Boeve, Bradley F, Boxer, Adam L, Rosen, Howard J, Forsberg, Leah K, Heuer, Hilary W, Brushaber, Danielle, Appleby, Brian, Biernacka, Joanna M, Bordelon, Yvette M, Botha, Hugo, Brannelly, Patrick, Dickerson, Brad C, Dickson, Dennis W, Kimiko, Domoto‐Reilly, Faber, Kelley, Fagan, Anne, Fields, Julie A, Fishman, Ann, Foroud, Tatiana M, Galasko, Doug R, Gavrilova, Ralitza H, Gendron, Tania F, Geschwind, Daniel H, Ghoshal, Nupur, Goldman, Jill, Graff‐Radford, Jonathan, Graff‐Radford, Neill R, Grant, Ian, Grossman, Murray, Hsiung, Ging‐Yuek Robin, Huang, Eric J, Huey, Edward, Irwin, David J, Jones, David T, Kantarci, Kejal, Karydas, Anna M, Kaufer, Daniel, Knopman, David S, Kramer, Joel H, Kremers, Walter K, Kornak, John, Kukull, Walter A, Lagone, Emma, Leger, Gabriel C, Litvan, Irene, Ljubenkov, Peter A, Lucente, Diane E, Mackenzie, Ian R, Manoochehri, Masood, Masdeu, Joseph C, McGinnis, Scott, Mendez, Mario F, Miller, Bruce L, Miyagawa, Toji, Nelson, Kevin M, Onyike, Chiadi U, Pantelyat, Alex, Pascual, Belen, Pearlman, Rodney, Petrucelli, Leonard, Rademakers, Rosa, Ramos, Eliana Marisa, Rankin, Katherine, Rascovsky, Katya, Rexach, Jessica E, Ritter, Aaron, Roberson, Erik D, Rojas, Julio C, Sabbagh, Marwan N, Salmon, David P, Savica, Rodolfo, Seeley, William W, Staffaroni, Adam M, Syrjanen, Jeremy, Tartaglia, Carmela, Tatton, Nadine, Taylor, Joanne, Toga, Arthur W, Weintraub, Sandra, Wheaton, Diana, Wong, Bonnie, and Wszolek, Zbigniew
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Brain Disorders ,Rare Diseases ,Acquired Cognitive Impairment ,Neurodegenerative ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Clinical Trials and Supportive Activities ,Clinical Research ,Frontotemporal Dementia (FTD) ,Alzheimer's Disease Related Dementias (ADRD) ,Genetics ,Neurosciences ,Dementia ,2.1 Biological and endogenous factors ,Geriatrics ,Clinical Sciences - Published
- 2020
19. Impact of Atrial Fibrillation on Outcomes in Patients Hospitalized With Nontraumatic Intracerebral Hemorrhage
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Thotamgari, Sahith Reddy, Babbili, Akhilesh, Bucchanolla, Prabandh, Thakkar, Samarthkumar, Patel, Harsh P., Spaseski, Maja B., Graff-Radford, Jonathan, Rabinstein, Alejandro A., Asad, Zain Ul Abideen, Asirvatham, Samuel J., Holmes, David R., Jr., Deshmukh, Abhishek, and DeSimone, Christopher V.
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- 2023
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20. Quality of life and caregiver burden in familial frontotemporal lobar degeneration: Analyses of symptomatic and asymptomatic individuals within the LEFFTDS cohort
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Gentry, Melanie T, Lapid, Maria I, Syrjanen, Jeremy, Calvert, Kendrick, Hughes, Samantha, Brushaber, Danielle, Kremers, Walter, Bove, Jessica, Brannelly, Patrick, Coppola, Giovanni, Dheel, Christina, Dickerson, Bradley, Dickinson, Susan, Faber, Kelley, Fields, Julie, Fong, Jamie, Foroud, Tatiana, Forsberg, Leah, Gavrilova, Ralitza, Gearhart, Deb, Ghoshal, Nupur, Goldman, Jill, Graff‐Radford, Jonathan, Graff‐Radford, Neill, Grossman, Murray, Haley, Dana, Heuer, Hilary, Hsiung, Ging‐Yuek, Huey, Edward, Irwin, David, Jones, David, Jones, Lynne, Kantarci, Kejal, Karydas, Anna, Knopman, David, Kornak, John, Kramer, Joel, Kukull, Walter, Lucente, Diane, Lungu, Codrin, Mackenzie, Ian, Manoochehri, Masood, McGinnis, Scott, Miller, Bruce, Pearlman, Rodney, Petrucelli, Len, Potter, Madeline, Rademakers, Rosa, Ramos, Eliana Marisa, Rankin, Katherine, Rascovsky, Katya, Sengdy, Pheth, Shaw, Leslie, Tatton, Nadine, Taylor, Joanne, Toga, Arthur, Trojanowski, John, Weintraub, Sandra, Wong, Bonnie, Wszolek, Zbigniew, Boeve, Bradley F, Boxer, Adam, Rosen, Howard, and Consortium, the LEFFTDS
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Biomedical and Clinical Sciences ,Biological Psychology ,Clinical Sciences ,Neurosciences ,Psychology ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Dementia ,Aging ,Acquired Cognitive Impairment ,Frontotemporal Dementia (FTD) ,Behavioral and Social Science ,Brain Disorders ,Clinical Research ,Neurodegenerative ,Alzheimer's Disease ,Adolescent ,Adult ,Aged ,Aged ,80 and over ,Caregivers ,Cohort Studies ,Cost of Illness ,Female ,Frontotemporal Lobar Degeneration ,Humans ,Longitudinal Studies ,Male ,Middle Aged ,Quality of Life ,Young Adult ,C9orf72 ,frontotemporal dementia ,GRN ,MAPT ,quality of life ,tau ,TDP-43 ,LEFFTDS Consortium ,Geriatrics ,Clinical sciences ,Biological psychology - Abstract
ObjectiveThe Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects evaluates familial frontotemporal lobar degeneration (FTLD) kindreds with MAPT, GRN, or C9orf72 mutations. Objectives were to examine whether health-related quality of life (HRQoL) correlates with clinical symptoms and caregiver burden, and whether self-rated and informant-rated HRQoL would correlate with each other.MethodsIndividuals were classified using the Clinical Dementia Rating (CDR® ) Scale plus National Alzheimer's Coordinating Center (NACC) FTLD. HRQoL was measured with DEMQOL and DEMQOL-proxy; caregiver burden with the Zarit Burden Interview (ZBI). For analysis, Pearson correlations and weighted kappa statistics were calculated.ResultsThe cohort of 312 individuals included symptomatic and asymptomatic individuals. CDR® plus NACC FTLD was negatively correlated with DEMQOL (r = -0.20, P = .001), as were ZBI and DEMQOL (r = -0.22, P = .0009). There was fair agreement between subject and informant DEMQOL (κ = 0.36, P
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- 2020
21. Trajectory of lobar atrophy in asymptomatic and symptomatic GRN mutation carriers: a longitudinal MRI study
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Chen, Qin, Boeve, Bradley F, Senjem, Matthew, Tosakulwong, Nirubol, Lesnick, Timothy, Brushaber, Danielle, Dheel, Christina, Fields, Julie, Forsberg, Leah, Gavrilova, Ralitza, Gearhart, Debra, Graff-Radford, Jonathan, Graff-Radford, Neill, Jack, Clifford R, Jones, David, Knopman, David, Kremers, Walter K, Lapid, Maria, Rademakers, Rosa, Ramos, Eliana Marisa, Syrjanen, Jeremy, Boxer, Adam L, Rosen, Howie, Wszolek, Zbigniew K, and Kantarci, Kejal
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Biomedical and Clinical Sciences ,Clinical Sciences ,Neurodegenerative ,Brain Disorders ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Neurosciences ,Frontotemporal Dementia (FTD) ,Aging ,Biomedical Imaging ,Dementia ,Acquired Cognitive Impairment ,Alzheimer's Disease Related Dementias (ADRD) ,Neurological ,Adult ,Asymptomatic Diseases ,Atrophy ,Female ,Frontotemporal Lobar Degeneration ,Heterozygote ,Humans ,Loss of Function Mutation ,Magnetic Resonance Imaging ,Male ,Middle Aged ,Progranulins ,Temporal Lobe ,Young Adult ,Magnetic resonance image ,GRN ,Asymptomatic ,Frontotemporal dementia ,Longitudinal ,Neurology & Neurosurgery ,Biological psychology - Abstract
Loss-of-function mutations in the progranulin gene (GRN) are one of the major causes of familial frontotemporal lobar degeneration. Our objective was to determine the rates and trajectories of lobar cortical atrophy from longitudinal structural magnetic resonance imaging in both asymptomatic and symptomatic GRN mutation carriers. Individuals in this study were from the ADRC and LEFFTDS studies at the Mayo Clinic. We identified 13 GRN mutation carriers (8 asymptomatic, 5 symptomatic) and noncarriers (n = 10) who had at least 2 serial T1-weighted structural magnetic resonance images and were followed annually with a median of 3 years (range 1.0-9.8 years). Longitudinal changes in lobar cortical volume were analyzed using the tensor-based morphometry with symmetric normalization (TBM-SyN) algorithm. Linear mixed-effect models were used to model cortical volume change over time among 3 groups. The annual rates of frontal (p < 0.05) and parietal (p < 0.01) lobe cortical atrophy were higher in asymptomatic GRN mutation carriers than noncarriers. The symptomatic GRN mutation carriers also had increased rates of atrophy in the frontal (p < 0.01) and parietal lobe (p < 0.01) cortices than noncarriers. In addition, greater rates of cortical atrophy were observed in the temporal lobe cortices of symptomatic GRN mutation carriers than noncarriers (p < 0.001). We found that a decline in frontal and parietal lobar cortical volume occurs in asymptomatic GRN mutation carriers and continues in the symptomatic GRN mutation carriers, whereas an increased rate of temporal lobe cortical atrophy is observed only in symptomatic GRN mutation carriers. This sequential pattern of cortical involvement in GRN mutation carriers has important implications for using imaging biomarkers of neurodegeneration as an outcome measure in potential treatment trials involving GRN mutation carriers.
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- 2020
22. Proceedings from the Albert Charitable Trust Inaugural Workshop on white matter and cognition in aging
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Sorond, Farzaneh A, Whitehead, Shawn, Arai, Ken, Arnold, Douglas, Carmichael, S Thomas, De Carli, Charles, Duering, Marco, Fornage, Myriam, Flores-Obando, Rafael E, Graff-Radford, Jonathan, Hamel, Edith, Hess, David C, Ihara, Massafumi, Jensen, Majken K, Markus, Hugh S, Montagne, Axel, Rosenberg, Gary, Shih, Andy Y, Smith, Eric E, Thiel, Alex, Tse, Kai Hei, Wilcock, Donna, and Barone, Frank
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Biomedical and Clinical Sciences ,Clinical Sciences ,Neurosciences ,Aging ,Alzheimer's Disease ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Brain Disorders ,Behavioral and Social Science ,Dementia ,Neurodegenerative ,Acquired Cognitive Impairment ,Cognition ,Cognitive Dysfunction ,Dementia ,Vascular ,Humans ,White Matter ,Blood-brain barrier ,Brain white matter ,Myelin ,Neurovascular ,Oligovascular ,Vascular cognitive impairment ,Genetics ,Clinical sciences - Abstract
This third in a series of vascular cognitive impairment (VCI) workshops, supported by "The Leo and Anne Albert Charitable Trust," was held from February 8 to 12 at the Omni Resort in Carlsbad, CA. This workshop followed the information gathered from the earlier two workshops suggesting that we focus more specifically on brain white matter in age-related cognitive impairment. The Scientific Program Committee (Frank Barone, Shawn Whitehead, Eric Smith, and Rod Corriveau) assembled translational, clinical, and basic scientists with unique expertise in acute and chronic white matter injury at the intersection of cerebrovascular and neurodegenerative etiologies. As in previous Albert Trust workshops, invited participants addressed key topics related to mechanisms of white matter injury, biomarkers of white matter injury, and interventions to prevent white matter injury and age-related cognitive decline. This report provides a synopsis of the presentations and discussions by the participants, including the existing knowledge gaps and the delineation of the next steps towards advancing our understanding of white matter injury and age-related cognitive decline. Workshop discussions and consensus resulted in action by The Albert Trust to (1) increase support from biannual to annual "White Matter and Cognition" workshops; (2) provide funding for two collaborative, novel research grants annually submitted by meeting participants; and (3) coordinate the formation of the "Albert Research Institute for White Matter and Cognition." This institute will fill a gap in white matter science, providing white matter and cognition communications, including annual updates from workshops and the literature and interconnecting with other Albert Trust scientific endeavors in cognition and dementia, and providing support for newly established collaborations between seasoned investigators and to the development of talented young investigators in the VCI-dementia (VCID) and white matter cognition arena.
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- 2020
23. Clinical and volumetric changes with increasing functional impairment in familial frontotemporal lobar degeneration.
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Olney, Nicholas T, Ong, Elise, Goh, Sheng-Yang M, Bajorek, Lynn, Dever, Reilly, Staffaroni, Adam M, Cobigo, Yann, Bock, Meredith, Chiang, Kevin, Ljubenkov, Peter, Kornak, John, Heuer, Hilary W, Wang, Ping, Rascovsky, Katya, Wolf, Amelia, Appleby, Brian, Bove, Jessica, Bordelon, Yvette, Brannelly, Patrick, Brushaber, Danielle, Caso, Christine, Coppola, Giovanni, Dickerson, Bradford C, Dickinson, Susan, Domoto-Reilly, Kimiko, Faber, Kelly, Ferrall, Jessica, Fields, Julie, Fishman, Ann, Fong, Jamie, Foroud, Tatiana, Forsberg, Leah K, Gearhart, Debra J, Ghazanfari, Behnaz, Ghoshal, Nupur, Goldman, Jill, Graff-Radford, Jonathan, Graff-Radford, Neill R, Grant, Ian, Grossman, Murray, Haley, Dana, Hsiung, Gingyuek, Huey, Edward D, Irwin, David J, Jones, David T, Kantarci, Kejal, Karydas, Anna M, Kaufer, Daniel, Kerwin, Diana, Knopman, David S, Kramer, Joel H, Kraft, Ruth, Kremers, Walter, Kukull, Walter, Lapid, Maria I, Litvan, Irene, Mackenzie, Ian R, Maldonado, Miranda, Manoochehri, Masood, McGinnis, Scott M, McKinley, Emily C, Mendez, Mario F, Miller, Bruce L, Onyike, Chiadi, Pantelyat, Alex, Pearlman, Rodney, Petrucelli, Len, Potter, Madeleine, Rademakers, Rosa, Ramos, Eliana M, Rankin, Katherine P, Roberson, Erik D, Rogalski, Emily, Sengdy, Pheth, Shaw, Leslie M, Syrjanen, Jeremy, Tartaglia, M Carmela, Tatton, Nadine, Taylor, Joanne, Toga, Arthur, Trojanowski, John Q, Weintraub, Sandra, Wong, Bonnie, Wszolek, Zbigniew, Boxer, Adam L, Boeve, Brad F, Rosen, Howard J, and ARTFL and LEFFTDS consortia
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ARTFL and LEFFTDS consortia ,Temporal Lobe ,Humans ,Atrophy ,Genetic Predisposition to Disease ,tau Proteins ,Magnetic Resonance Imaging ,Longitudinal Studies ,Neuropsychological Tests ,Image Processing ,Computer-Assisted ,Middle Aged ,Female ,Male ,Frontotemporal Lobar Degeneration ,C9orf72 Protein ,Progranulins ,C9ORF72 ,Familial ,Frontotemporal lobar degeneration ,GRN ,Genetic ,MAPT ,Frontotemporalobar degeneration ,Neurodegenerative ,Behavioral and Social Science ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Alzheimer's Disease Related Dementias (ADRD) ,Biomedical Imaging ,Aging ,Alzheimer's Disease ,Clinical Trials and Supportive Activities ,Acquired Cognitive Impairment ,Dementia ,Clinical Research ,Brain Disorders ,Neurosciences ,Rare Diseases ,Frontotemporal Dementia (FTD) ,2.1 Biological and endogenous factors ,Neurological ,Geriatrics ,Clinical Sciences - Abstract
IntroductionThe Advancing Research and Treatment in Frontotemporal Lobar Degeneration and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects longitudinal studies were designed to describe the natural history of familial-frontotemporal lobar degeneration due to autosomal dominant mutations.MethodsWe examined cognitive performance, behavioral ratings, and brain volumes from the first time point in 320 MAPT, GRN, and C9orf72 family members, including 102 non-mutation carriers, 103 asymptomatic carriers, 43 mildly/questionably symptomatic carriers, and 72 carriers with dementia.ResultsAsymptomatic carriers showed similar scores on all clinical measures compared with noncarriers but reduced frontal and temporal volumes. Those with mild/questionable impairment showed decreased verbal recall, fluency, and Trail Making Test performance and impaired mood and self-monitoring. Dementia was associated with impairment in all measures. All MAPT carriers with dementia showed temporal atrophy, but otherwise, there was no single cognitive test or brain region that was abnormal in all subjects.DiscussionImaging changes appear to precede clinical changes in familial-frontotemporal lobar degeneration, but specific early clinical and imaging changes vary across individuals.
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- 2020
24. Individualized atrophy scores predict dementia onset in familial frontotemporal lobar degeneration.
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Staffaroni, Adam M, Cobigo, Yann, Goh, Sheng-Yang M, Kornak, John, Bajorek, Lynn, Chiang, Kevin, Appleby, Brian, Bove, Jessica, Bordelon, Yvette, Brannelly, Patrick, Brushaber, Danielle, Caso, Christina, Coppola, Giovanni, Dever, Reilly, Dheel, Christina, Dickerson, Bradford C, Dickinson, Susan, Dominguez, Sophia, Domoto-Reilly, Kimiko, Faber, Kelly, Ferrall, Jessica, Fields, Julie A, Fishman, Ann, Fong, Jamie, Foroud, Tatiana, Forsberg, Leah K, Gavrilova, Ralitza, Gearhart, Debra, Ghazanfari, Behnaz, Ghoshal, Nupur, Goldman, Jill, Graff-Radford, Jonathan, Graff-Radford, Neill, Grant, Ian, Grossman, Murray, Haley, Dana, Heuer, Hilary W, Hsiung, Ging-Yuek, Huey, Edward D, Irwin, David J, Jones, David T, Jones, Lynne, Kantarci, Kejal, Karydas, Anna, Kaufer, Daniel I, Kerwin, Diana R, Knopman, David S, Kraft, Ruth, Kramer, Joel H, Kremers, Walter K, Kukull, Walter A, Litvan, Irene, Ljubenkov, Peter A, Lucente, Diane, Lungu, Codrin, Mackenzie, Ian R, Maldonado, Miranda, Manoochehri, Masood, McGinnis, Scott M, McKinley, Emily, Mendez, Mario F, Miller, Bruce L, Multani, Namita, Onyike, Chiadi, Padmanabhan, Jaya, Pantelyat, Alex, Pearlman, Rodney, Petrucelli, Len, Potter, Madeline, Rademakers, Rosa, Ramos, Eliana Marisa, Rankin, Katherine P, Rascovsky, Katya, Roberson, Erik D, Rogalski, Emily, Sengdy, Pheth, Shaw, Leslie M, Syrjanen, Jeremy, Tartaglia, M Carmela, Tatton, Nadine, Taylor, Joanne, Toga, Arthur, Trojanowski, John Q, Weintraub, Sandra, Wang, Ping, Wong, Bonnie, Wszolek, Zbigniew, Boxer, Adam L, Boeve, Brad F, Rosen, Howard J, and ARTFL/LEFFTDS consortium
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ARTFL/LEFFTDS consortium ,Brain ,Humans ,Atrophy ,Genetic Predisposition to Disease ,tau Proteins ,Magnetic Resonance Imaging ,Neuropsychological Tests ,Mutation ,Image Processing ,Computer-Assisted ,Middle Aged ,Female ,Male ,Frontotemporal Dementia ,C9orf72 Protein ,Progranulins ,Frontotemporal dementia ,Genetics ,Magnetic resonance imaging ,TDP-43 ,Tau ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Frontotemporal Dementia (FTD) ,Dementia ,Brain Disorders ,Neurosciences ,Acquired Cognitive Impairment ,Prevention ,Alzheimer's Disease ,Rare Diseases ,Aging ,Neurodegenerative ,Neurological ,Geriatrics ,Clinical Sciences - Abstract
IntroductionSome models of therapy for neurodegenerative diseases envision starting treatment before symptoms develop. Demonstrating that such treatments are effective requires accurate knowledge of when symptoms would have started without treatment. Familial frontotemporal lobar degeneration offers a unique opportunity to develop predictors of symptom onset.MethodsWe created dementia risk scores in 268 familial frontotemporal lobar degeneration family members by entering covariate-adjusted standardized estimates of brain atrophy into a logistic regression to classify asymptomatic versus demented participants. The score's predictive value was tested in a separate group who were followed up longitudinally (stable vs. converted to dementia) using Cox proportional regressions with dementia risk score as the predictor.ResultsCross-validated logistic regression achieved good separation of asymptomatic versus demented (accuracy = 90%, SE = 0.06). Atrophy scores predicted conversion from asymptomatic or mildly/questionably symptomatic to dementia (HR = 1.51, 95% CI: [1.16,1.98]).DiscussionIndividualized quantification of baseline brain atrophy is a promising predictor of progression in asymptomatic familial frontotemporal lobar degeneration mutation carriers.
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- 2020
25. The longitudinal evaluation of familial frontotemporal dementia subjects protocol: Framework and methodology
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Boeve, Bradley, Bove, Jessica, Brannelly, Patrick, Brushaber, Danielle, Coppola, Giovanni, Dever, Rielly, Dheel, Christina, Dickerson, Bradford, Dickinson, Susan, Faber, Kelley, Fields, Julie, Fong, Jamie, Foroud, Tatiana, Forsberg, Leah, Gavrilova, Ralitza, Gearhart, Debra, Ghoshal, Nupur, Goldman, Jennifer, Graff‐Radford, Jonathan, Graff‐Radford, Neill, Grossman, Murray, Haley, Dana, Heuer, Hilary, Hsiung, Ging‐Yuek Robin, Huey, Edward, Irwin, David, Jones, David, Jones, Lynne, Kantarci, Kejal, Karydas, Anna, Knopman, David, Kornak, John, Kraft, Ruth, Kramer, Joel, Kremers, Walter, Kukull, Walter, Lapid, Maria, Lucente, Diane, Mackenzie, Ian, Manoochehri, Masood, McGinnis, Scott, Miller, Bruce, Pearlman, Rodney, Petrucelli, Len, Potter, Madeline, Rademakers, Rosa, Ramos, Eliana Marisa, Rankin, Kate, Rascovsky, Katya, Sengdy, Pheth, Shaw, Les, Syrjanen, Jeremy, Tatton, Nadine, Taylor, Joanne, Toga, Arthur, Trojanowski, John, Weintraub, Sandra, Wong, Bonnie, Wszolek, Zbigniew, Boxer, Adam, Rosen, Howard, and Consortium, on Behalf of the LEFFTDS
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Biomedical and Clinical Sciences ,Clinical Sciences ,Clinical Research ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Alzheimer's Disease Related Dementias (ADRD) ,Neurosciences ,Dementia ,Brain Disorders ,Rare Diseases ,Alzheimer's Disease ,Acquired Cognitive Impairment ,Genetics ,Aging ,Neurodegenerative ,Clinical Trials and Supportive Activities ,Frontotemporal Dementia (FTD) ,Neurological ,Adult ,C9orf72 Protein ,Female ,Frontotemporal Dementia ,Genetic Predisposition to Disease ,Humans ,Longitudinal Studies ,Magnetic Resonance Imaging ,Male ,Middle Aged ,Mutation ,Neuropsychological Tests ,tau Proteins ,C9orf72 ,Frontotemporal dementia ,GRN ,MAPT ,Tau ,TDP-43 ,LEFFTDS Consortium ,Geriatrics ,Clinical sciences ,Biological psychology - Abstract
IntroductionIt is important to establish the natural history of familial frontotemporal lobar degeneration (f-FTLD) and provide clinical and biomarker data for planning these studies, particularly in the asymptomatic phase.MethodsThe Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects protocol was designed to enroll and follow at least 300 subjects for more than at least three annual visits who are members of kindreds with a mutation in one of the three most common f-FTLD genes-microtubule-associated protein tau, progranulin, or chromosome 9 open reading frame 72.ResultsWe present the theoretical considerations of f-FTLD and the aims/objectives of this protocol. We also describe the design and methodology for evaluating and rating subjects, in which detailed clinical and neuropsychological assessments are performed, biofluid samples are collected, and magnetic resonance imaging scans are performed using a standard protocol.DiscussionThese data and samples, which are available to interested investigators worldwide, will facilitate planning for upcoming disease-modifying therapeutic trials in f-FTLD.
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- 2020
26. Assessment of executive function declines in presymptomatic and mildly symptomatic familial frontotemporal dementia: NIH-EXAMINER as a potential clinical trial endpoint.
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Staffaroni, Adam M, Bajorek, Lynn, Casaletto, Kaitlin B, Cobigo, Yann, Goh, Sheng-Yang M, Wolf, Amy, Heuer, Hilary W, Elahi, Fanny M, Ljubenkov, Peter A, Dever, Reilly, Kornak, John, Appleby, Brian, Bove, Jessica, Bordelon, Yvette, Brannelly, Patrick, Brushaber, Danielle, Caso, Christina, Coppola, Giovanni, Dheel, Christina, Dickerson, Bradford C, Dickinson, Susan, Dominguez, Sophia, Domoto-Reilly, Kimiko, Faber, Kelly, Ferrall, Jessica, Fields, Julie A, Fishman, Ann, Fong, Jamie, Foroud, Tatiana, Forsberg, Leah K, Gavrilova, Ralitza, Gearhart, Debra, Ghazanfari, Behnaz, Ghoshal, Nupur, Goldman, Jill, Graff-Radford, Jonathan, Graff-Radford, Neill, Grant, Ian, Grossman, Murray, Haley, Dana, Hsiung, Ging-Yuek, Huey, Edward D, Irwin, David J, Jones, David T, Jones, Lynne, Kantarci, Kejal, Karydas, Anna, Kaufer, Daniel I, Kerwin, Diana R, Knopman, David S, Kraft, Ruth, Kremers, Walter K, Kukull, Walter A, Litvan, Irene, Lucente, Diane, Lungu, Codrin, Mackenzie, Ian R, Maldonado, Miranda, Manoochehri, Masood, McGinnis, Scott M, McKinley, Emily, Mendez, Mario F, Miller, Bruce L, Multani, Namita, Onyike, Chiadi, Padmanabhan, Jaya, Pantelyat, Alex, Pearlman, Rodney, Petrucelli, Len, Potter, Madeline, Rademakers, Rosa, Ramos, Eliana Marisa, Rankin, Katherine P, Rascovsky, Katya, Roberson, Erik D, Rogalski, Emily, Sengdy, Pheth, Shaw, Leslie M, Syrjanen, Jeremy, Tartaglia, M Carmela, Tatton, Nadine, Taylor, Joanne, Toga, Arthur, Trojanowski, John Q, Weintraub, Sandra, Wang, Ping, Wong, Bonnie, Wszolek, Zbigniew, Boxer, Adam L, Boeve, Brad F, Kramer, Joel H, Rosen, Howard J, and ARTFL/LEFFTDS consortium
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ARTFL/LEFFTDS consortium ,Humans ,Disease Progression ,Magnetic Resonance Imaging ,Longitudinal Studies ,Neuropsychological Tests ,Mutation ,Middle Aged ,Female ,Male ,Executive Function ,Frontotemporal Dementia ,Biomarkers ,C9orf72 Protein ,Behavioral variant ,Cognition ,Corticobasal syndrome ,Fluency ,Genetic ,Inhibition ,Neuropsychology ,Nonfluent variant ,Primary progressive aphasia ,Progranulin ,Progressive supranuclear palsy ,Semantic variant ,Set-shifting ,Tau ,Working memory ,Clinical Sciences ,Neurosciences ,Geriatrics - Abstract
IntroductionIdentifying clinical measures that track disease in the earliest stages of frontotemporal lobar degeneration (FTLD) is important for clinical trials. Familial FTLD provides a unique paradigm to study early FTLD. Executive dysfunction is a clinically relevant hallmark of FTLD and may be a marker of disease progression.MethodsNinety-three mutation carriers with no symptoms or minimal/questionable symptoms (MAPT, n = 31; GRN, n = 28; C9orf72, n = 34; Clinical Dementia Rating scale plus NACC FTLD Module < 1) and 78 noncarriers enrolled through Advancing Research and Treatment in Frontotemporal Lobar Degeneration/Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects studies completed the Executive Abilities: Measures and Instruments for Neurobehavioral Evaluation and Research (NIH-EXAMINER) and the UDS neuropsychological battery. Linear mixed-effects models were used to identify group differences in cognition at baseline and longitudinally. We examined associations between cognition, clinical functioning, and magnetic resonance imaging volumes.ResultsNIH-EXAMINER scores detected baseline and differences in slopes between carriers and noncarriers, even in carriers with a baseline Clinical Dementia Rating scale plus NACC FTLD Module = 0. NIH-EXAMINER declines were associated with worsening clinical symptoms and brain volume loss.DiscussionThe NIH-EXAMINER is sensitive to cognitive changes in presymptomatic familial FTLD and is a promising surrogate endpoint.
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- 2020
27. Utility of the global CDR® plus NACC FTLD rating and development of scoring rules: Data from the ARTFL/LEFFTDS Consortium
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Miyagawa, Toji, Brushaber, Danielle, Syrjanen, Jeremy, Kremers, Walter, Fields, Julie, Forsberg, Leah K, Heuer, Hilary W, Knopman, David, Kornak, John, Boxer, Adam, Rosen, Howard J, Boeve, Bradley F, Appleby, Brian, Bordelon, Yvette, Bove, Jessica, Brannelly, Patrick, Caso, Christina, Coppola, Giovanni, Dever, Reilly, Dheel, Christina, Dickerson, Bradford, Dickinson, Susan, Dominguez, Sophia, Domoto‐Reilly, Kimiko, Faber, Kelley, Ferrell, Jessica, Fishman, Ann, Fong, Jamie, Foroud, Tatiana, Gavrilova, Ralitza, Gearhart, Debra, Ghazanfari, Behnaz, Ghoshal, Nupur, Goldman, Jill S, Graff‐Radford, Jonathan, Graff‐Radford, Neill, Grant, Ian, Grossman, Murray, Haley, Dana, Hsiung, Robin, Huey, Edward, Irwin, David, Jones, David, Jones, Lynne, Kantarci, Kejal, Karydas, Anna, Kaufer, Daniel, Kerwin, Diana, Kraft, Ruth, Kramer, Joel, Kukull, Walter, Litvan, Irene, Lucente, Diane, Lungu, Codrin, Mackenzie, Ian, Maldonado, Miranda, Manoochehri, Masood, McGinnis, Scott, McKinley, Emily, Mendez, Mario F, Miller, Bruce, Multani, Namita, Onyike, Chiadi, Padmanabhan, Jaya, Pantelyat, Alexander, Pearlman, Rodney, Petrucelli, Leonard, Potter, Madeline, Rademakers, Rosa, Ramos, Eliana M, Rankin, Kate, Rascovsky, Katya, Roberson, Erik D, Rogalski, Emily, Sengdy, Pheth, Shaw, Leslie, Tartaglia, Maria C, Tatton, Nadine, Taylor, Joanne, Toga, Arthur, Trojanowski, John Q, Wang, Ping, Weintraub, Sandra, Wong, Bonnie, and Wszolek, Zbigniew
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Biological Psychology ,Biomedical and Clinical Sciences ,Psychology ,Dementia ,Frontotemporal Dementia (FTD) ,Neurosciences ,Neurodegenerative ,Acquired Cognitive Impairment ,Clinical Trials and Supportive Activities ,Clinical Research ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Aging ,Brain Disorders ,Aged ,Aphasia ,Primary Progressive ,Cross-Sectional Studies ,Female ,Frontotemporal Lobar Degeneration ,Humans ,Male ,Mental Status and Dementia Tests ,Middle Aged ,behavior ,comportment ,personality ,CDR ,CDR plus NACC FTLD ,frontotemporal lobar degeneration ,global rating ,language ,CDR® ,behavior ,comportment ,and personality ,Clinical Sciences ,Geriatrics ,Clinical sciences ,Biological psychology - Abstract
IntroductionWe created global rating scoring rules for the CDR® plus NACC FTLD to detect and track early frontotemporal lobar degeneration (FTLD) and to conduct clinical trials in FTLD.MethodsThe CDR plus NACC FTLD rating was applied to 970 sporadic and familial participants from the baseline visit of Advancing Research and Treatment in Frontotemporal Lobar Degeneration (ARTFL)/Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS). Each of the eight domains of the CDR plus NACC FTLD was equally weighed in determining the global score. An interrater reliability study was completed for 40 participants.ResultsThe CDR plus NACC FTLD showed very good interrater reliability. It was especially useful in detecting clinical features of mild non-fluent/agrammatic variant primary progressive aphasia participants.DiscussionThe global CDR plus NACC FTLD score could be an attractive outcome measure for clinical trials in symptomatic FTLD, and may be useful in natural history studies and clinical trials in FTLD spectrum disorders.
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- 2020
28. Genetic screening of a large series of North American sporadic and familial frontotemporal dementia cases
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Ramos, Eliana Marisa, Dokuru, Deepika Reddy, Van Berlo, Victoria, Wojta, Kevin, Wang, Qing, Huang, Alden Y, Deverasetty, Sandeep, Qin, Yue, van Blitterswijk, Marka, Jackson, Jazmyne, Appleby, Brian, Bordelon, Yvette, Brannelly, Patrick, Brushaber, Danielle E, Dickerson, Bradford, Dickinson, Susan, Domoto‐Reilly, Kimiko, Faber, Kelley, Fields, Julie, Fong, Jamie, Foroud, Tatiana, Forsberg, Leah K, Gavrilova, Ralitza, Ghoshal, Nupur, Goldman, Jill, Graff‐Radford, Jonathan, Graff‐Radford, Neill, Grant, Ian, Grossman, Murray, Heuer, Hilary W, Hsiung, Ging‐Yuek R, Huey, Edward, Irwin, David, Kantarci, Kejal, Karydas, Anna, Kaufer, Daniel, Kerwin, Diana, Knopman, David, Kornak, John, Kramer, Joel H, Kremers, Walter, Kukull, Walter, Litvan, Irene, Ljubenkov, Peter, Lungu, Codrin, Mackenzie, Ian, Mendez, Mario F, Miller, Bruce L, Onyike, Chiadi, Pantelyat, Alexander, Pearlman, Rodney, Petrucelli, Len, Potter, Madeline, Rankin, Katherine P, Rascovsky, Katya, Roberson, Erik D, Rogalski, Emily, Shaw, Leslie, Syrjanen, Jeremy, Tartaglia, Maria Carmela, Tatton, Nadine, Taylor, Joanne, Toga, Arthur, Trojanowski, John Q, Weintraub, Sandra, Wong, Bonnie, Wszolek, Zbigniew, Rademakers, Rosa, Boeve, Brad F, Rosen, Howard J, Boxer, Adam L, consortium, on behalf of the ARTFL LEFFTDS, and Coppola, Giovanni
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Biomedical and Clinical Sciences ,Biological Psychology ,Clinical Sciences ,Neurosciences ,Psychology ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Dementia ,Neurodegenerative ,Frontotemporal Dementia (FTD) ,Genetics ,Alzheimer's Disease ,Human Genome ,Prevention ,Rare Diseases ,Aging ,Brain Disorders ,Clinical Research ,Acquired Cognitive Impairment ,Genetic Testing ,Alzheimer's Disease Related Dementias (ADRD) ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,C9orf72 Protein ,Female ,Frontotemporal Dementia ,Genetic Predisposition to Disease ,Humans ,Male ,Middle Aged ,Progranulins ,tau Proteins ,C9orf72 ,familial ,frontotemporal dementia ,GRN ,MAPT ,sporadic ,ARTFL/LEFFTDS consortium ,Geriatrics ,Clinical sciences ,Biological psychology - Abstract
IntroductionThe Advancing Research and Treatment for Frontotemporal Lobar Degeneration (ARTFL) and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS) consortia are two closely connected studies, involving multiple North American centers that evaluate both sporadic and familial frontotemporal dementia (FTD) participants and study longitudinal changes.MethodsWe screened the major dementia-associated genes in 302 sporadic and 390 familial (symptomatic or at-risk) participants enrolled in these studies.ResultsAmong the sporadic patients, 16 (5.3%) carried chromosome 9 open reading frame 72 (C9orf72), microtubule-associated protein tau (MAPT), and progranulin (GRN) pathogenic variants, whereas in the familial series we identified 207 carriers from 146 families. Of interest, one patient was found to carry a homozygous C9orf72 expansion, while another carried both a C9orf72 expansion and a GRN pathogenic variant. We also identified likely pathogenic variants in the TAR DNA binding protein (TARDBP), presenilin 1 (PSEN1), and valosin containing protein (VCP) genes, and a subset of variants of unknown significance in other rare FTD genes.DiscussionOur study reports the genetic characterization of a large FTD series and supports an unbiased sequencing screen, irrespective of clinical presentation or family history.
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- 2020
29. Nonlinear Z-score modeling for improved detection of cognitive abnormality.
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Kornak, John, Fields, Julie, Kremers, Walter, Farmer, Sara, Heuer, Hilary W, Forsberg, Leah, Brushaber, Danielle, Rindels, Amy, Dodge, Hiroko, Weintraub, Sandra, Besser, Lilah, Appleby, Brian, Bordelon, Yvette, Bove, Jessica, Brannelly, Patrick, Caso, Christina, Coppola, Giovanni, Dever, Reilly, Dheel, Christina, Dickerson, Bradford, Dickinson, Susan, Dominguez, Sophia, Domoto-Reilly, Kimiko, Faber, Kelley, Ferrall, Jessica, Fishman, Ann, Fong, Jamie, Foroud, Tatiana, Gavrilova, Ralitza, Gearhart, Deb, Ghazanfari, Behnaz, Ghoshal, Nupur, Goldman, Jill, Graff-Radford, Jonathan, Graff-Radford, Neill, Grant, Ian M, Grossman, Murray, Haley, Dana, Hsiao, John, Hsiung, Robin, Huey, Edward D, Irwin, David, Jones, David, Jones, Lynne, Kantarci, Kejal, Karydas, Anna, Kaufer, Daniel, Kerwin, Diana, Knopman, David, Kraft, Ruth, Kramer, Joel, Kukull, Walter, Lapid, Maria, Litvan, Irene, Ljubenkov, Peter, Lucente, Diane, Lungu, Codrin, Mackenzie, Ian, Maldonado, Miranda, Manoochehri, Masood, McGinnis, Scott, McKinley, Emily, Mendez, Mario, Miller, Bruce, Multani, Namita, Onyike, Chiadi, Padmanabhan, Jaya, Pantelyat, Alexander, Pearlman, Rodney, Petrucelli, Len, Potter, Madeline, Rademakers, Rosa, Ramos, Eliana Marisa, Rankin, Katherine, Rascovsky, Katya, Roberson, Erik D, Rogalski-Miller, Emily, Sengdy, Pheth, Shaw, Les, Staffaroni, Adam M, Sutherland, Margaret, Syrjanen, Jeremy, Tartaglia, Carmela, Tatton, Nadine, Taylor, Joanne, Toga, Arthur, Trojanowski, John, Wang, Ping, Wong, Bonnie, Wszolek, Zbigniew, Boeve, Brad, Boxer, Adam, Rosen, Howard, and ARTFL/LEFFTDS Consortium
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ARTFL/LEFFTDS Consortium ,Generalized additive models ,Heterogenous variance modeling ,Neuropsychological testing scores ,Nonlinear Z-score correction ,Shape constrained additive models ,Genetics ,Neurosciences - Abstract
IntroductionConventional Z-scores are generated by subtracting the mean and dividing by the standard deviation. More recent methods linearly correct for age, sex, and education, so that these "adjusted" Z-scores better represent whether an individual's cognitive performance is abnormal. Extreme negative Z-scores for individuals relative to this normative distribution are considered indicative of cognitive deficiency.MethodsIn this article, we consider nonlinear shape constrained additive models accounting for age, sex, and education (correcting for nonlinearity). Additional shape constrained additive models account for varying standard deviation of the cognitive scores with age (correcting for heterogeneity of variance).ResultsCorrected Z-scores based on nonlinear shape constrained additive models provide improved adjustment for age, sex, and education, as indicated by higher adjusted-R2.DiscussionNonlinearly corrected Z-scores with respect to age, sex, and education with age-varying residual standard deviation allow for improved detection of non-normative extreme cognitive scores.
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- 2019
30. Cross–scanner harmonization methods for structural MRI may need further work: A comparison study
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Gebre, Robel K., Senjem, Matthew L., Raghavan, Sheelakumari, Schwarz, Christopher G., Gunter, Jeffery L., Hofrenning, Ekaterina I., Reid, Robert I., Kantarci, Kejal, Graff-Radford, Jonathan, Knopman, David S., Petersen, Ronald C., Jack, Clifford R., Jr, and Vemuri, Prashanthi
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- 2023
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31. Abstract 15584: Artificial Intelligence-Guided Screening for Atrial Fibrillation Detection Among Patients With Different Socioeconomic Status
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Kalinoski-DuBose, Victoria, Yao, Xiaoxi, Noseworthy, Peter A, Deng, Yihong, Attia, Zachi, Lopez-Jimenez, Francisco, Gersh, Bernard J, and Graff-Radford, Jonathan
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- 2023
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32. Population-Based Evaluation of Total Protein in Cerebrospinal Fluid
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Fautsch, Kalli J., Block, Darci R., Graff-Radford, Jonathan, Wang, Feng, Craver, Emily C., Hodge, David O., Cutsforth-Gregory, Jeremy K., Kilgore, Khin P., Petersen, Ronald C., Knopman, David S., Flanagan, Eoin, Toledano, Michel, Mielke, Michelle M., Bhatti, M. Tariq, and Chen, John J.
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- 2023
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33. Effects of de-facing software mri_reface on utility of imaging biomarkers used in Alzheimer’s disease research
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Schwarz, Christopher G., Kremers, Walter K., Weigand, Stephen D., Prakaashana, Carl M., Senjem, Matthew L., Przybelski, Scott A., Lowe, Val J., Gunter, Jeffrey L., Kantarci, Kejal, Vemuri, Prashanthi, Graff-Radford, Jonathan, Petersen, Ronald C., Knopman, David S., and Jack Jr., Clifford R.
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- 2023
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34. Author Correction: Performance of plasma phosphorylated tau 181 and 217 in the community
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Mielke, Michelle M., Dage, Jeffrey L., Frank, Ryan D., Algeciras-Schimnich, Alicia, Knopman, David S., Lowe, Val J., Bu, Guojun, Vemuri, Prashanthi, Graff-Radford, Jonathan, Jack, Jr, Clifford R., and Petersen, Ronald C.
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- 2023
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35. Performance of plasma phosphorylated tau 181 and 217 in the community
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Mielke, Michelle M., Dage, Jeffrey L., Frank, Ryan D., Algeciras-Schimnich, Alicia, Knopman, David S., Lowe, Val J., Bu, Guojun, Vemuri, Prashanthi, Graff-Radford, Jonathan, Jack, Jr, Clifford R., and Petersen, Ronald C.
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- 2022
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36. Tracking white matter degeneration in asymptomatic and symptomatic MAPT mutation carriers
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Chen, Qin, Boeve, Bradley F, Schwarz, Christopher G, Reid, Robert, Tosakulwong, Nirubol, Lesnick, Timothy G, Bove, Jessica, Brannelly, Patrick, Brushaber, Danielle, Coppola, Giovanni, Dheel, Christina, Dickerson, Bradford C, Dickinson, Susan, Faber, Kelley, Fields, Julie, Fong, Jamie, Foroud, Tatiana, Forsberg, Leah, Gavrilova, Ralitza H, Gearhart, Debra, Ghoshal, Nupur, Goldman, Jill, Graff-Radford, Jonathan, Graff-Radford, Neill R, Grossman, Murray, Haley, Dana, Heuer, Hilary W, Hsiung, Ging-Yuek R, Huey, Edward, Irwin, David J, Jack, Clifford R, Jones, David T, Jones, Lynne, Karydas, Anna M, Knopman, David S, Kornak, John, Kramer, Joel, Kremers, Walter, Kukull, Walter A, Lapid, Maria, Lucente, Diane, Lungu, Codrin, Mackenzie, Ian RA, Manoochehri, Masood, McGinnis, Scott, Miller, Bruce L, Pearlman, Rodney, Petrucelli, Leonard, Potter, Madeline, Rademakers, Rosa, Ramos, Eliana M, Rankin, Katherine P, Rascovsky, Katya, Sengdy, Pheth, Shaw, Leslie, Syrjanen, Jeremy, Tatton, Nadine, Taylor, Joanne, Toga, Arthur W, Trojanowski, John, Weintraub, Sandra, Wong, Bonnie, Boxer, Adam L, Rosen, Howie, Wszolek, Zbigniew, Kantarci, Kejal, and Consortium, LEFFTDS
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Biomedical and Clinical Sciences ,Clinical Sciences ,Neurodegenerative ,Clinical Trials and Supportive Activities ,Acquired Cognitive Impairment ,Clinical Research ,Dementia ,Neurosciences ,Biomedical Imaging ,Aging ,Brain Disorders ,2.1 Biological and endogenous factors ,Adult ,Aged ,Diffusion Magnetic Resonance Imaging ,Diffusion Tensor Imaging ,Disease Progression ,Female ,Frontotemporal Dementia ,Gray Matter ,Heterozygote ,Humans ,Male ,Middle Aged ,Mutation ,Neurodegenerative Diseases ,Neuropsychological Tests ,White Matter ,tau Proteins ,Diffusion tensor image ,MAPT ,Asymptomatic ,Frontotemporal dementia ,Longitudinal ,LEFFTDS Consortium ,Neurology & Neurosurgery ,Biological psychology - Abstract
Our aim was to investigate the patterns and trajectories of white matter (WM) diffusion abnormalities in microtubule-associated protein tau (MAPT) mutations carriers. We studied 22 MAPT mutation carriers (12 asymptomatic, 10 symptomatic) and 20 noncarriers from 8 families, who underwent diffusion tensor imaging (DTI) and a subset (10 asymptomatic, 6 symptomatic MAPT mutation carriers, and 10 noncarriers) were followed annually (median = 4 years). Cross-sectional and longitudinal changes in mean diffusivity (MD) and fractional anisotropy were analyzed. Asymptomatic MAPT mutation carriers had higher MD in entorhinal WM, which propagated to the limbic tracts and frontotemporal projections in the symptomatic stage compared with noncarriers. Reduced fractional anisotropy and increased MD in the entorhinal WM were associated with the proximity to estimated and actual age of symptom onset. The annualized change of entorhinal MD on serial DTI was accelerated in MAPT mutation carriers compared with noncarriers. Entorhinal WM diffusion abnormalities precede the symptom onset and track with disease progression in MAPT mutation carriers. Our cross-sectional and longitudinal data showed a potential clinical utility for DTI to track neurodegenerative disease progression for MAPT mutation carriers in clinical trials.
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- 2019
37. Brain MR Spectroscopy Changes Precede Frontotemporal Lobar Degeneration Phenoconversion in Mapt Mutation Carriers
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Chen, Qin, Boeve, Bradley F, Tosakulwong, Nirubol, Lesnick, Timothy, Brushaber, Danielle, Dheel, Christina, Fields, Julie, Forsberg, Leah, Gavrilova, Ralitza, Gearhart, Debra, Haley, Dana, Gunter, Jeffrey L, Graff‐Radford, Jonathan, Jones, David, Knopman, David, Graff‐Radford, Neill, Kraft, Ruth, Lapid, Maria, Rademakers, Rosa, Wszolek, Zbigniew K, Rosen, Howie, Boxer, Adam L, and Kantarci, Kejal
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Biomedical and Clinical Sciences ,Clinical Sciences ,Biomedical Imaging ,Aging ,Neurodegenerative ,Prevention ,Clinical Research ,Neurosciences ,2.1 Biological and endogenous factors ,Aetiology ,Good Health and Well Being ,Adult ,Biomarkers ,Brain ,Disease Progression ,Female ,Frontotemporal Lobar Degeneration ,Heterozygote ,Humans ,Longitudinal Studies ,Magnetic Resonance Spectroscopy ,Male ,Middle Aged ,Mutation ,tau Proteins ,converter ,frontotemporal lobar degeneration ,longitudinal ,MAPT ,MRS ,Neurology & Neurosurgery ,Clinical sciences ,Biological psychology - Abstract
Background and purposeThe objective of this study was to longitudinally investigate the trajectory of change in 1 H MRS measurements in asymptomatic MAPT mutation carriers who became symptomatic during follow-up, and to determine the time at which the neurochemical alterations accelerated during disease progression.MethodsWe identified eight MAPT mutations carriers who transitioned from asymptomatic to symptomatic disease during follow-up. All participants were longitudinally followed with an average of 7.75 years (range 4-11 years) and underwent two or more single voxel 1 H MRS examinations from the posterior cingulate voxel, with a total of 60 examinations. The rate of longitudinal change for each metabolite was estimated using linear mixed models. A flex point model was used to estimate the flex time point of the change in slope.ResultsThe decrease in the NAA/mI ratio accelerated 2.09 years prior to symptom onset, and continued to decline. A similar trajectory was observed in the presumed glial marker mI/Cr ratio accelerating 1.86 years prior to symptom onset.ConclusionsOur findings support the potential use of longitudinal 1 H MRS for monitoring the neurodegenerative progression in MAPT mutation carriers starting from the asymptomatic stage.
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- 2019
38. Frontal lobe 1H MR spectroscopy in asymptomatic and symptomatic MAPT mutation carriers.
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Chen, Qin, Boeve, Bradley F, Tosakulwong, Nirubol, Lesnick, Timothy, Brushaber, Danielle, Dheel, Christina, Fields, Julie, Forsberg, Leah, Gavrilova, Ralitza, Gearhart, Debra, Haley, Dana, Gunter, Jeffrey L, Graff-Radford, Jonathan, Jones, David, Knopman, David, Graff-Radford, Neill, Kraft, Ruth, Lapid, Maria, Rademakers, Rosa, Syrjanen, Jeremy, Wszolek, Zbigniew K, Rosen, Howie, Boxer, Adam L, and Kantarci, Kejal
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Neurodegenerative ,Prevention ,Neurosciences ,Dementia ,Brain Disorders ,Clinical Research ,Acquired Cognitive Impairment ,Biomedical Imaging ,Frontotemporal Dementia (FTD) ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Adult ,Aspartic Acid ,Asymptomatic Diseases ,Biomarkers ,Case-Control Studies ,Creatine ,Female ,Frontal Lobe ,Frontotemporal Lobar Degeneration ,Heterozygote ,Humans ,Inositol ,Male ,Middle Aged ,Mutation ,Proton Magnetic Resonance Spectroscopy ,Young Adult ,tau Proteins ,Clinical Sciences ,Cognitive Sciences ,Neurology & Neurosurgery - Abstract
ObjectiveTo determine the frontal lobe proton magnetic resonance spectroscopy (1H MRS) abnormalities in asymptomatic and symptomatic carriers of microtubule-associated protein tau (MAPT) mutations.MethodsWe recruited patients with MAPT mutations from 5 individual families, who underwent single voxel 1H MRS from the medial frontal lobe at 3T (n = 19) from the Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS) Study at the Mayo Clinic site. Asymptomatic MAPT mutation carriers (n = 9) had Frontotemporal Lobar Degeneration Clinical Dementia Rating Sum of Boxes (FTLD-CDR SOB) score of zero, and symptomatic MAPT mutation carriers (n = 10) had a median FTLD-CDR SOB score of 5. Noncarriers from healthy first-degree relatives of the patients were recruited as controls (n = 25). The demographic aspects and 1H MRS metabolite ratios were compared by use of the Fisher exact test for sex and linear mixed models to account for within-family correlations. We used Tukey contrasts for pair-wise comparisons.ResultsAsymptomatic MAPT mutation carriers had lower neuronal marker N-acetylaspartate (NAA)/creatine (Cr) (p = 0.001) and lower NAA/myo-inositol (mI) (p = 0.026) than noncarriers after adjustment for age. Symptomatic MAPT mutation carriers had lower NAA/Cr (p = 0.01) and NAA/mI (p = 0.01) and higher mI/Cr (p = 0.02) compared to noncarriers after adjustment for age. Furthermore, NAA/Cr (p = 0.006) and NAA/mI (p < 0.001) ratios decreased, accompanied by an increase in mI/Cr ratio (p = 0.001), as the ages of carriers approached and passed the age at symptom onset.ConclusionFrontal lobe neurochemical alterations measured with 1H MRS precede the symptom onset in MAPT mutation carriers. Frontal lobe 1H MRS is a potential biomarker for early neurodegenerative processes in MAPT mutation carriers.
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- 2019
39. P2‐314: THE MULTIDOMAIN IMPAIRMENT RATING (MIR) SCALE: INITIAL RELIABILITY DATA ON A MULTIDIMENSIONAL SCALE DESIGNED FOR FTLD SPECTRUM DISORDERS
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Forsberg, Leah K, Boeve, Bradley F, Boxer, Adam L, Rosen, Howard J, Kornak, John, Heuer, Hilary W, Fields, Julie A, Brushaber, Danielle, Machulda, Mary M, Sturm, Virginia, Staffaroni, Adam M, Ljubenkov, Peter A, Denver, Reilly, Ong, Elise, Appleby, Brian, Bordelon, Yvette M, Brannelly, Patrick, Coppola, Giovanni, Dickerson, Brad C, Dickinson, Susan, Kimiko, Domoto-Reilly, Faber, Kelley, Fong, Jamie, Foroud, Tatiana M, Gavrilova, Ralitza H, Gearhart, Debra, Ghoshal, Nupur, Goldman, Jill, Graff-Radford, Jonathan, Graff-Radford, Neil R, Grossman, Murray, Hsiung, Ging-Yuek Robin, Huey, Edward D, Irwin, David, Jones, David T, Kantarci, Kejal, Karydas, Anna M, Kaufer, Daniel, Kerwin, Diana R, Knopman, David S, Kraft, Ruth A, Kramer, Joel H, Kremers, Walter K, Kukull, Walter A, Litvan, Irene, Lucente, Diane E, Lungu, Codrin, Mackenzie, Ian R, McGinnis, Scott M, Mendez, Mario F, Miller, Bruce L, Onyike, Chiadi U, Pantelyat, Alex, Pearlman, Rodney, Petrucelli, Leonard, Potter, Madeline, Rademakers, Rosa, Ramos, Eliana Marisa, Rankin, Katherine, Rascovsky, Katya, Roberson, Erik D, Rogalski, Emily J, Shaw, Leslie M, Sutherland, Marg, Syrjanen, Jeremy, Tartaglia, Carmela, Tatton, Nadine, Taylor, Joanne, Toga, Arthur W, Trojanowski, John Q, Weintraub, Sandra, Wong, Bonnie, and Wszolek, Zbigniew
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Clinical Sciences ,Neurosciences ,Geriatrics - Published
- 2019
40. Rates of lobar atrophy in asymptomatic MAPT mutation carriers.
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Chen, Qin, Boeve, Bradley F, Senjem, Matthew, Tosakulwong, Nirubol, Lesnick, Timothy G, Brushaber, Danielle, Dheel, Christina, Fields, Julie, Forsberg, Leah, Gavrilova, Ralitza, Gearhart, Debra, Graff-Radford, Jonathan, Graff-Radford, Neill R, Jack, Clifford R, Jones, David T, Knopman, David S, Kremers, Walter K, Lapid, Maria, Rademakers, Rosa, Syrjanen, Jeremy, Boxer, Adam L, Rosen, Howie, Wszolek, Zbigniew K, Kantarci, Kejal, and LEFFTDS Consortium
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LEFFTDS Consortium ,Asymptomatic ,Frontotemporal dementia ,Longitudinal ,MAPT ,Magnetic resonance image ,Prevention ,Brain Disorders ,Acquired Cognitive Impairment ,Dementia ,Neurodegenerative ,Neurosciences ,Rare Diseases - Abstract
IntroductionThe aim of this study was to investigate the rates of lobar atrophy in the asymptomatic microtubule-associated protein tau (MAPT) mutation carriers.MethodsMAPT mutation carriers (n = 14; 10 asymptomatic, 4 converters from asymptomatic to symptomatic) and noncarriers (n = 13) underwent structural magnetic resonance imaging and were followed annually with a median of 9.2 years. Longitudinal changes in lobar atrophy were analyzed using the tensor-based morphometry with symmetric normalization algorithm.ResultsThe rate of temporal lobe atrophy in asymptomatic MAPT mutation carriers was faster than that in noncarriers. Although the greatest rate of atrophy was observed in the temporal lobe in converters, they also had increased atrophy rates in the frontal and parietal lobes compared to noncarriers.DiscussionAccelerated decline in temporal lobe volume occurs in asymptomatic MAPT mutation carriers followed by the frontal and parietal lobe in those who have become symptomatic. The findings have implications for monitoring the progression of neurodegeneration during clinical trials in asymptomatic MAPT mutation carriers.
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- 2019
41. Mitochondrial genomic variation in dementia with Lewy bodies: association with disease risk and neuropathological measures
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Valentino, Rebecca R., Ramnarine, Chloe, Heckman, Michael G., Johnson, Patrick W., Soto-Beasley, Alexandra I., Walton, Ronald L., Koga, Shunsuke, Kasanuki, Koji, Murray, Melissa E., Uitti, Ryan J., Fields, Julie A., Botha, Hugo, Ramanan, Vijay K., Kantarci, Kejal, Lowe, Val J., Jack, Clifford R., Ertekin-Taner, Nilufer, Savica, Rodolfo, Graff-Radford, Jonathan, Petersen, Ronald C., Parisi, Joseph E., Reichard, R. Ross, Graff-Radford, Neill R., Ferman, Tanis J., Boeve, Bradley F., Wszolek, Zbigniew K., Dickson, Dennis W., and Ross, Owen A.
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- 2022
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42. White matter damage due to vascular, tau, and TDP-43 pathologies and its relevance to cognition
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Raghavan, Sheelakumari, Przybelski, Scott A., Reid, Robert I., Lesnick, Timothy G., Ramanan, Vijay K., Botha, Hugo, Matchett, Billie J., Murray, Melissa E., Reichard, R. Ross, Knopman, David S., Graff-Radford, Jonathan, Jones, David T., Lowe, Val J., Mielke, Michelle M., Machulda, Mary M., Petersen, Ronald C., Kantarci, Kejal, Whitwell, Jennifer L., Josephs, Keith A., Jack, Jr, Clifford R., and Vemuri, Prashanthi
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- 2022
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43. Global neuropathologic severity of Alzheimer’s disease and locus coeruleus vulnerability influences plasma phosphorylated tau levels
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Murray, Melissa E., Moloney, Christina M., Kouri, Naomi, Syrjanen, Jeremy A., Matchett, Billie J., Rothberg, Darren M., Tranovich, Jessica F., Sirmans, Tiffany N. Hicks, Wiste, Heather J., Boon, Baayla D. C., Nguyen, Aivi T., Reichard, R. Ross, Dickson, Dennis W., Lowe, Val J., Dage, Jeffrey L., Petersen, Ronald C., Jack, Jr, Clifford R., Knopman, David S., Vemuri, Prashanthi, Graff-Radford, Jonathan, and Mielke, Michelle M.
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- 2022
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44. Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging
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Saboo, Krishnakant V., Hu, Chang, Varatharajah, Yogatheesan, Przybelski, Scott A., Reid, Robert I., Schwarz, Christopher G., Graff-Radford, Jonathan, Knopman, David S., Machulda, Mary M., Mielke, Michelle M., Petersen, Ronald C., Arnold, Paul M., Worrell, Gregory A., Jones, David T., Jack Jr, Clifford R., Iyer, Ravishankar K., and Vemuri, Prashanthi
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- 2022
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45. Artificial Intelligence–Enabled Electrocardiogram for Atrial Fibrillation Identifies Cognitive Decline Risk and Cerebral Infarcts
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Weil, Erika L., Noseworthy, Peter A., Lopez, Camden L., Rabinstein, Alejandro A., Friedman, Paul A., Attia, Zachi I., Yao, Xiaoxi, Siontis, Konstantinos C., Kremers, Walter K., Christopoulos, Georgios, Mielke, Michelle M., Vemuri, Prashanthi, Jack, Clifford R., Jr., Gersh, Bernard J., Machulda, Mary M., Knopman, David S., Petersen, Ronald C., and Graff-Radford, Jonathan
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- 2022
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46. Optimizing cutpoints for clinical interpretation of brain amyloid status using plasma p‐tau217 immunoassays.
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Figdore, Daniel J., Griswold, Michael, Bornhorst, Joshua A., Graff‐Radford, Jonathan, Ramanan, Vijay K., Vemuri, Prashanthi, Lowe, Val J., Knopman, David S., Jack, Clifford R., Petersen, Ronald C., and Algeciras‐Schimnich, Alicia
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- 2024
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47. Distinct brain iron profiles associated with logopenic progressive aphasia and posterior cortical atrophy
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Singh, Neha Atulkumar, Arani, Arvin, Graff-Radford, Jonathan, Senjem, Matthew L., Martin, Peter R., Machulda, Mary M., Schwarz, Christopher G., Shu, Yunhong, Cogswell, Petrice M., Knopman, David S., Petersen, Ronald C., Lowe, Val J., Jack, Clifford R., Jr., Josephs, Keith A., and Whitwell, Jennifer L.
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- 2022
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48. Causal structure discovery identifies risk factors and early brain markers related to evolution of white matter hyperintensities
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Shen, Xinpeng, Raghavan, Sheelakumari, Przybelski, Scott A., Lesnick, Timothy G., Ma, Sisi, Reid, Robert I., Graff-Radford, Jonathan, Mielke, Michelle M., Knopman, David S., Petersen, Ronald C., Jack Jr., Clifford R., Simon, György J., and Vemuri, Prashanthi
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- 2022
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49. Patterns of Early Neocortical Amyloid-β Accumulation: A PET Population-Based Study
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Lecy, Emily E., primary, Min, Hoon-Ki, additional, Apgar, Christopher J., additional, Maltais, Daniela D., additional, Lundt, Emily S., additional, Albertson, Sabrina M., additional, Senjem, Matthew L., additional, Schwarz, Christopher G., additional, Botha, Hugo, additional, Graff-Radford, Jonathan, additional, Jones, David T., additional, Vemuri, Prashanthi, additional, Kantarci, Kejal, additional, Knopman, David S., additional, Petersen, Ronald C., additional, Jack, Clifford R., additional, Lee, Jeyeon, additional, and Lowe, Val J., additional
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- 2024
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50. Plasma glial fibrillary acidic protein in the visual and language variants of Alzheimer's disease
- Author
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Sintini, Irene, primary, Singh, Neha Atulkumar, additional, Li, Danni, additional, Mielke, Michelle M., additional, Machulda, Mary M., additional, Schwarz, Christopher G., additional, Senjem, Matthew L., additional, Jack, Clifford R., additional, Lowe, Val J., additional, Graff‐Radford, Jonathan, additional, Josephs, Keith A., additional, and Whitwell, Jennifer L., additional
- Published
- 2024
- Full Text
- View/download PDF
Catalog
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