20 results on '"Soucy, Jean‐Paul"'
Search Results
2. Neuroimaging in Clinical Geriatric Psychiatry
- Author
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Burhan, Amer M., Soni, Niharika, Kuo, Matthew, Anazodo, Udunna C., Soucy, Jean-Paul, Hategan, Ana, editor, Bourgeois, James A., editor, Hirsch, Calvin H., editor, and Giroux, Caroline, editor
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- 2024
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3. The neurophysiological brain-fingerprint of Parkinson’s disease
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Breitner, John, Poirier, Judes, Baillet, Sylvain, Bellec, Pierre, Bohbot, Véronique, Chakravarty, Mallar, Collins, Louis, Etienne, Pierre, Evans, Alan, Gauthier, Serge, Hoge, Rick, Ituria-Medina, Yasser, Multhaup, Gerhard, Münter, Lisa-Marie, Rajah, Natasha, Rosa-Neto, Pedro, Soucy, Jean-Paul, Vachon-Presseau, Etienne, Villeneuve, Sylvia, Amouyel, Philippe, Appleby, Melissa, Ashton, Nicholas, Auld, Daniel, Ayranci, Gülebru, Bedetti, Christophe, Beland, Marie-Lise, Blennow, Kaj, Westman, Ann Brinkmalm, Cuello, Claudio, Dadar, Mahsa, Daoust, Leslie-Ann, Das, Samir, Dauar-Tedeschi, Marina, De Beaumont, Louis, Dea, Doris, Descoteaux, Maxime, Dufour, Marianne, Farzin, Sarah, Ferdinand, Fabiola, Fonov, Vladimir, Gonneaud, Julie, Kat, Justin, Kazazian, Christina, Labonté, Anne, Lafaille-Magnan, Marie-Elyse, Lalancette, Marc, Lambert, Jean-Charles, Leoutsakos, Jeannie-Marie, Mahar, Laura, Mathieu, Axel, McSweeney, Melissa, Meyer, Pierre-François, Miron, Justin, Near, Jamie, NewboldFox, Holly, Nilsson, Nathalie, Orban, Pierre, Picard, Cynthia, Binette, Alexa Pichet, Poline, Jean-Baptiste, Rabipour, Sheida, Salaciak, Alyssa, Settimi, Matthew, Subramaniapillai, Sivaniya, Tam, Angela, Tardif, Christine, Théroux, Louise, Tremblay-Mercier, Jennifer, Tullo, Stephanie, Ulku, Irem, Vallée, Isabelle, Zetterberg, Henrik, Nair, Vasavan, Pruessner, Jens, Aisen, Paul, Anthal, Elena, Barkun, Alan, Beaudry, Thomas, Benbouhoud, Fatiha, Brandt, Jason, Carmo, Leopoldina, Carrier, Charles Edouard, Cheewakriengkrai, Laksanun, Courcot, Blandine, Couture, Doris, Craft, Suzanne, Dansereau, Christian, Debacker, Clément, Desautels, René, Dubuc, Sylvie, Duclair, Guerda, Eisenberg, Mark, El-Khoury, Rana, Faubert, Anne-Marie, Fontaine, David, Frappier, Josée, Frenette, Joanne, Gagné, Guylaine, Gervais, Valérie, Giles, Renuka, Gordon, Renee, Jack, Clifford, Jutras, Benoit, Khachaturian, Zaven, Knopman, David, Kostopoulos, Penelope, Lapalme, Félix, Lee, Tanya, Lepage, Claude, Leppert, Illana, Madjar, Cécile, Maillet, David, Maltais, Jean-Robert, Mathotaarachchi, Sulantha, Mayrand, Ginette, Michaud, Diane, Montine, Thomas, Morris, John, Pagé, Véronique, Pascoal, Tharick, Peillieux, Sandra, Petkova, Mirela, Pogossova, Galina, Rioux, Pierre, Sager, Mark, Saint-Fort, Eunice Farah, Savard, Mélissa, Sperling, Reisa, Tabrizi, Shirin, Tariot, Pierre, Teigner, Eduard, Thomas, Ronald, Toussaint, Paule-Joanne, Tuwaig, Miranda, Venugopalan, Vinod, Verfaillie, Sander, Vogel, Jacob, Wan, Karen, Wang, Seqian, Yu, Elsa, Beaulieu-Boire, Isabelle, Blanchet, Pierre, Bogard, Sarah, Bouchard, Manon, Chouinard, Sylvain, Cicchetti, Francesca, Cloutier, Martin, Dagher, Alain, Degroot, Clotilde, Desautels, Alex, Dion, Marie Hélène, Drouin-Ouellet, Janelle, Dufresne, Anne-Marie, Dupré, Nicolas, Duquette, Antoine, Durcan, Thomas, Fellows, Lesley K., Fon, Edward, Gagnon, Jean-François, Gan-Or, Ziv, Genge, Angela, Jodoin, Nicolas, Karamchandani, Jason, Lafontaine, Anne-Louise, Langlois, Mélanie, Leveille, Etienne, Lévesque, Martin, Melmed, Calvin, Monchi, Oury, Montplaisir, Jacques, Panisset, Michel, Parent, Martin, Pham-An, Minh-Thy, Postuma, Ronald, Pourcher, Emmanuelle, Rao, Trisha, Rivest, Jean, Rouleau, Guy, Sharp, Madeleine, Soland, Valérie, Sidel, Michael, Wing Sun, Sonia Lai, Thiel, Alexander, Vitali, Paolo, da Silva Castanheira, Jason, Wiesman, Alex I., Hansen, Justine Y., and Misic, Bratislav
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- 2024
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4. Tau follows principal axes of functional and structural brain organization in Alzheimer’s disease
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Ottoy, Julie, primary, Kang, Min Su, additional, Tan, Jazlynn Xiu Min, additional, Boone, Lyndon, additional, Vos de Wael, Reinder, additional, Park, Bo-yong, additional, Bezgin, Gleb, additional, Lussier, Firoza Z., additional, Pascoal, Tharick A., additional, Rahmouni, Nesrine, additional, Stevenson, Jenna, additional, Fernandez Arias, Jaime, additional, Therriault, Joseph, additional, Hong, Seok-Jun, additional, Stefanovic, Bojana, additional, McLaurin, JoAnne, additional, Soucy, Jean-Paul, additional, Gauthier, Serge, additional, Bernhardt, Boris C., additional, Black, Sandra E., additional, Rosa-Neto, Pedro, additional, and Goubran, Maged, additional
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- 2024
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5. PET Imaging in Dementia: Mini-Review and Canadian Perspective for Clinical Use
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Juengling, Freimut, primary, Wuest, Frank, additional, Schirrmacher, Ralf, additional, Abele, Jonathan, additional, Thiel, Alexander, additional, Soucy, Jean-Paul, additional, Camicioli, Richard, additional, and Garibotto, Valentina, additional
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- 2024
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6. Evaluation of an automated feedback intervention to improve antibiotic prescribing among primary care physicians (OPEN Stewardship): a multinational controlled interrupted time-series study
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Soucy, Jean-Paul R., primary, Low, Marcelo, additional, Acharya, Kamal R., additional, Ellen, Moriah, additional, Hulth, Anette, additional, Löfmark, Sonja, additional, Garber, Gary E., additional, Watson, William, additional, Moran-Gilad, Jacob, additional, Davidovitch, Nadav, additional, Amar, Tamar, additional, McCready, Janine, additional, Orava, Matthew, additional, Brownstein, John S., additional, Brown, Kevin A., additional, Fisman, David N., additional, and MacFadden, Derek R., additional
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- 2024
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7. 99m Tc-HMPAO SPECT Perfusion Signatures Associated With Clinical Progression in Patients With Isolated REM Sleep Behavior Disorder
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Rahayel, Shady, primary, Postuma, Ronald, additional, Baril, Andrée-Ann, additional, Misic, Bratislav, additional, Pelletier, Amélie, additional, Soucy, Jean-Paul, additional, Montplaisir, Jacques, additional, Dagher, Alain, additional, and Gagnon, Jean-François, additional
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- 2024
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8. An Evaluation of the Impact of an OPEN Stewardship Generated Feedback Intervention on Antibiotic Prescribing among Primary Care Veterinarians in Canada and Israel
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Acharya, Kamal R., primary, Cohen, Adar, additional, Brankston, Gabrielle, additional, Soucy, Jean-Paul R., additional, Hulth, Anette, additional, Löfmark, Sonja, additional, Brownstein, John S., additional, Davidovich, Nadav, additional, Ellen, Moriah E., additional, Fisman, David N., additional, Moran-Gilad, Jacob, additional, Steinman, Amir, additional, MacFadden, Derek R., additional, and Greer, Amy L., additional
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- 2024
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9. Quantification of [11C]ABP688 binding in human brain using cerebellum as reference region: biological interpretation and limitations
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Milella, Michele Stanislaw, primary, minuzzi, luciano, additional, benkelfat, chawki, additional, soucy, jean-paul, additional, kirlow, alexandre, additional, Schirrmacher, esther, additional, angle, mark, additional, Verhaeghe, Jeroen, additional, massarweh, gassan, additional, reader, andrew j, additional, aliaga, antonio, additional, Peixoto-Santos, Jose Eduardo, additional, guiot, Marie-Christine, additional, kobayashi, eliane, additional, rosa-neto, pedro, additional, and Leyton, Marco, additional
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- 2024
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10. Distinct spatial contributions of amyloid pathology and cerebral small vessel disease to hippocampal morphology.
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Xhima, Kristiana, Ottoy, Julie, Gibson, Erin, Zukotynski, Katherine, Scott, Christopher, Feliciano, Ginelle J., Adamo, Sabrina, Kuo, Phillip H., Borrie, Michael J., Chertkow, Howard, Frayne, Richard, Laforce, Robert, Noseworthy, Michael D., Prato, Frank S., Sahlas, Demetrios J., Smith, Eric E., Sossi, Vesna, Thiel, Alexander, Soucy, Jean‐Paul, and Tardif, Jean‐Claude
- Abstract
INTRODUCTION: Cerebral small vessel disease (SVD) and amyloid beta (Aβ) pathology frequently co‐exist. The impact of concurrent pathology on the pattern of hippocampal atrophy, a key substrate of memory impacted early and extensively in dementia, remains poorly understood. METHODS: In a unique cohort of mixed Alzheimer's disease and moderate–severe SVD, we examined whether total and regional neuroimaging measures of SVD, white matter hyperintensities (WMH), and Aβ, as assessed by 18F‐AV45 positron emission tomography, exert additive or synergistic effects on hippocampal volume and shape. RESULTS: Frontal WMH, occipital WMH, and Aβ were independently associated with smaller hippocampal volume. Frontal WMH had a spatially distinct impact on hippocampal shape relative to Aβ. In contrast, hippocampal shape alterations associated with occipital WMH spatially overlapped with Aβ‐vulnerable subregions. DISCUSSION: Hippocampal degeneration is differentially sensitive to SVD and Aβ pathology. The pattern of hippocampal atrophy could serve as a disease‐specific biomarker, and thus guide clinical diagnosis and individualized treatment strategies for mixed dementia. [ABSTRACT FROM AUTHOR]
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- 2024
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11. Structural white matter properties and cognitive resilience to tau pathology.
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Qiu, Ting, Liu, Zhen‐Qi, Rheault, François, Legarreta, Jon Haitz, Valcourt Caron, Alex, St‐Onge, Frédéric, Strikwerda‐Brown, Cherie, Metz, Amelie, Dadar, Mahsa, Soucy, Jean‐Paul, Pichet Binette, Alexa, Spreng, R. Nathan, Descoteaux, Maxime, and Villeneuve, Sylvia
- Abstract
INTRODUCTION: We assessed whether macro‐ and/or micro‐structural white matter properties are associated with cognitive resilience to Alzheimer's disease pathology years prior to clinical onset. METHODS: We examined whether global efficiency, an indicator of communication efficiency in brain networks, and diffusion measurements within the limbic network and default mode network moderate the association between amyloid‐β/tau pathology and cognitive decline. We also investigated whether demographic and health/risk factors are associated with white matter properties. RESULTS: Higher global efficiency of the limbic network, as well as free‐water corrected diffusion measures within the tracts of both networks, attenuated the impact of tau pathology on memory decline. Education, age, sex, white matter hyperintensities, and vascular risk factors were associated with white matter properties of both networks. DISCUSSION: White matter can influence cognitive resilience against tau pathology, and promoting education and vascular health may enhance optimal white matter properties. Highlights: Aβ and tau were associated with longitudinal memory change over ∼7.5 years.White matter properties attenuated the impact of tau pathology on memory change.Health/risk factors were associated with white matter properties. [ABSTRACT FROM AUTHOR]
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- 2024
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12. Public transit mobility as a leading indicator of COVID-19 transmission in 40 cities during the first wave of the pandemic.
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Soucy, Jean-Paul R., Sturrock, Shelby L., Berry, Isha, Westwood, Duncan J., Daneman, Nick, Fisman, David, MacFadden, Derek R., and Brown, Kevin A.
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PUBLIC transit ,CITIES & towns ,ECONOMIC indicators ,COVID-19 pandemic ,PANDEMICS ,COVID-19 ,BASIC reproduction number - Abstract
Background: The rapid global emergence of the COVID-19 pandemic in early 2020 created urgent demand for leading indicators to track the spread of the virus and assess the consequences of public health measures designed to limit transmission. Public transit mobility, which has been shown to be responsive to previous societal disruptions such as disease outbreaks and terrorist attacks, emerged as an early candidate. Methods: We conducted a longitudinal ecological study of the association between public transit mobility reductions and COVID-19 transmission using publicly available data from a public transit app in 40 global cities from March 16 to April 12, 2020. Multilevel linear regression models were used to estimate the association between COVID-19 transmission and the value of the mobility index 2 weeks prior using two different outcome measures: weekly case ratio and effective reproduction number. Results: Over the course of March 2020, median public transit mobility, measured by the volume of trips planned in the app, dropped from 100% (first quartile (Q
1 )–third quartile (Q3 ) = 94–108%) of typical usage to 10% (Q1 –Q3 = 6–15%). Mobility was strongly associated with COVID-19 transmission 2 weeks later: a 10% decline in mobility was associated with a 12.3% decrease in the weekly case ratio (exp(β) = 0.877; 95% confidence interval (CI): [0.859–0.896]) and a decrease in the effective reproduction number (β = −0.058; 95% CI: [−0.068 to −0.048]). The mobility-only models explained nearly 60% of variance in the data for both outcomes. The adjustment for epidemic timing attenuated the associations between mobility and subsequent COVID-19 transmission but only slightly increased the variance explained by the models. Discussion: Our analysis demonstrated the value of public transit mobility as a leading indicator of COVID-19 transmission during the first wave of the pandemic in 40 global cities, at a time when few such indicators were available. Factors such as persistently depressed demand for public transit since the onset of the pandemic limit the ongoing utility of a mobility index based on public transit usage. This study illustrates an innovative use of "big data" from industry to inform the response to a global pandemic, providing support for future collaborations aimed at important public health challenges. [ABSTRACT FROM AUTHOR]- Published
- 2024
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13. Comparison of immunoassay- with mass spectrometry-derived p-tau quantification for the detection of Alzheimer’s disease pathology
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Therriault, Joseph, primary, Woo, Marcel S., additional, Salvadó, Gemma, additional, Gobom, Johan, additional, Karikari, Thomas K., additional, Janelidze, Shorena, additional, Servaes, Stijn, additional, Rahmouni, Nesrine, additional, Tissot, Cécile, additional, Ashton, Nicholas J., additional, Benedet, Andréa Lessa, additional, Montoliu-Gaya, Laia, additional, Macedo, Arthur C., additional, Lussier, Firoza Z., additional, Stevenson, Jenna, additional, Vitali, Paolo, additional, Friese, Manuel A., additional, Massarweh, Gassan, additional, Soucy, Jean-Paul, additional, Pascoal, Tharick A., additional, Stomrud, Erik, additional, Palmqvist, Sebastian, additional, Mattsson-Carlgren, Niklas, additional, Gauthier, Serge, additional, Zetterberg, Henrik, additional, Hansson, Oskar, additional, Blennow, Kaj, additional, and Rosa-Neto, Pedro, additional
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- 2024
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14. EFFECTS OF VASCULAR BURDEN ON COGNITION ARE MEDIATED BY ATROPHY, AMYLOID, AND GLUCOSE METABOLISM: A MULTI-CENTRE MIXED COHORT OF SMALL VESSEL DISEASE AND ALZHEIMER'S PATHOLOGY
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Ottoy, Julie, Ozzoude, Miracle, Zukotynski, Katherine, Adamo, Sabrina, Scott, Christopher, Gaudet, Vincent, Ramirez, Joel, Swardfager, Walter, Cogo-Moreira, Hugo, Lam, Benjamin, Bhan, Aparna, Mojiri, Parisa, Kang, Min Su, Rabin, Jennifer, Kiss, Alex, Strother, Stephen, Bocti, Christian, Borrie, Michael, Chertkow, Howard, Frayne, Richard, Hsiung, Robin, Laforce, Robert, Jr., Noseworthy, Michael D., Prato, Frank S., Sahlas, Demetrios J., Smith, Eric E., Kuo, Phillip H., Sossi, Vesna, Thiel, Alexander, Soucy, Jean-Paul, Tardif, Jean-Claude, Black, Sandra E., and Goubran, Maged
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- 2024
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15. Free water levels in normal-appearing white matter predict vascular lesion progression in individuals with dementia
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Ottoy, Julie, Ramirez, Joel, Kang, Min Su, Yin, Eric, Ozzoude, Miracle, Zukotynski, Katherine, Swardfager, Walter, Scott, Christopher, Berberian, Stephanie, Gao, Fuqiang, Feliciano, Ginelle, Woods, Lauren Abby, Gibson, Erin, Smith, Eric E., Rahmouni, Nesrine, Therriault, Joseph, Servaes, Stijn, Hsiung, Robin, LaForce, Robert, Prato, Frank S., Kuo, Phillip H., Soucy, Jean-Paul, Tardif, Jean-Claude, Rosa-Neto, Pedro, Black, Sandra E., and Goubran, Maged
- Abstract
Cerebral small vessel disease (SVD) is a common co-pathology in elderly and individuals with dementia. Neuroimaging markers of SVD include white matter hyperintensities (WMH) and MRI-visible perivascular spaces (PVS). However, the mechanisms underlying changes in these markers over time, whether ischemic or beta-amyloid (Aβ)-related, remain elusive. Here, we evaluated the effects of microstructural injury in the normal-appearing white matter and Aβ in the cerebral cortex on the progression of WMH and PVS over three years.
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- 2024
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16. The Use of Random Forests to Classify Amyloid Brain PET
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Zukotynski, Katherine, Gaudet, Vincent, Kuo, Phillip H., Adamo, Sabrina, Goubran, Maged, Scott, Christopher, Bocti, Christian, Borrie, Michael, Chertkow, Howard, Frayne, Richard, Hsiung, Robin, Laforce, Robert, Noseworthy, Michael D., Prato, Frank S., Sahlas, Demetrios J., Smith, Eric E., Sossi, Vesna, Thiel, Alexander, Soucy, Jean-Paul, Tardif, Jean-Claude, and Black, Sandra E.
- Published
- 2024
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17. Plasma p-tau217 predicts cognitive impairments up to ten years before onset in normal older adults.
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Yakoub Y, Gonzalez-Ortiz F, Ashton NJ, Déry C, Strikwerda-Brown C, St-Onge F, Ourry V, Schöll M, Geddes MR, Ducharme S, Montembeault M, Rosa-Neto P, Soucy JP, Breitner JCS, Zetterberg H, Blennow K, Poirier J, and Villeneuve S
- Abstract
Importance: Positron emission tomography (PET) biomarkers are the gold standard for detection of Alzheimer amyloid and tau in vivo . Such imaging can identify cognitively unimpaired (CU) individuals who will subsequently develop cognitive impartment (CI). Plasma biomarkers would be more practical than PET or even cerebrospinal fluid (CSF) assays in clinical settings., Objective: Assess the prognostic accuracy of plasma p-tau217 in comparison to CSF and PET biomarkers for predicting the clinical progression from CU to CI., Design: In a cohort of elderly at high risk of developing Alzheimer's dementia (AD), we measured the proportion of CU individuals who developed CI, as predicted by Aβ (A+) and/or tau (T+) biomarker assessment from plasma, CSF, and PET. Results from each method were compared with (A-T-) reference individuals. Data were analyzed from June 2023 to April 2024., Setting: Longitudinal observational cohort., Participants: Some 228 participants from the PREVENT-AD cohort were CU at the time of biomarker assessment and had 1 - 10 years of follow-up. Plasma was available from 215 participants, CSF from 159, and amyloid- and tau-PET from 155. Ninety-three participants had assessment using all three methods (main group of interest). Progression to CI was determined by clinical consensus among physicians and neuropsychologists who were blind to plasma, CSF, PET, and MRI findings, as well as APOE genotype., Exposures: Plasma Aβ
42/40 was measured using IP-MS; CSF Aβ42/40 using Lumipulse; plasma and CSF p-tau217 using UGOT assay. Aβ-PET employed the18 F-NAV4694 ligand, and tau-PET used18 F-flortaucipir., Main Outcome: Prognostic accuracy of plasma, CSF, and PET biomarkers for predicting the development of CI in CU individuals., Results: Cox proportional hazard models indicated a greater progression rate in all A+T+ groups compared to A-T-groups (HR = 6.61 [95% CI = 2.06 - 21.17] for plasma, 3.62 [1.49 - 8.81] for CSF and 9.24 [2.34 - 36.43] for PET). The A-T+ groups were small, but also characterized with individuals who developed CI. Plasma biomarkers identified about five times more T+ than PET., Conclusion and Relevance: Plasma p-tau217 assessment is a practical method for identification of persons who will develop cognitive impairment up to 10 years later., Key Points: Question: Can plasma p-tau217 serve as a prognostic indicator for identifying cognitively unimpaired (CU) individuals at risk of developing cognitive impairments (CI)? Findings: In a longitudinal cohort of CU individuals with a family history of sporadic AD, almost all individuals with abnormal plasma p-tau217 concentrations developed CI within 10 years, regardless of plasma amyloid levels. Similar findings were obtained with CSF p-tau217 and tau-PET. Fluid p-tau217 biomarkers had the main advantage over PET of identifying five times more participants with elevated tau. Meaning: Elevated plasma p-tau217 levels in CU individuals strongly indicate future clinical progression.- Published
- 2024
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18. Structural white matter properties and cognitive resilience to tau pathology.
- Author
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Qiu T, Liu ZQ, Rheault F, Legarreta JH, Valcourt Caron A, St-Onge F, Strikwerda-Brown C, Metz A, Dadar M, Soucy JP, Pichet Binette A, Spreng RN, Descoteaux M, and Villeneuve S
- Subjects
- Aged, Female, Humans, Male, Alzheimer Disease pathology, Amyloid beta-Peptides metabolism, Brain pathology, Cognition physiology, Cognitive Dysfunction pathology, Diffusion Tensor Imaging, Neuropsychological Tests, Risk Factors, Tauopathies pathology, tau Proteins metabolism, White Matter pathology
- Abstract
Introduction: We assessed whether macro- and/or micro-structural white matter properties are associated with cognitive resilience to Alzheimer's disease pathology years prior to clinical onset., Methods: We examined whether global efficiency, an indicator of communication efficiency in brain networks, and diffusion measurements within the limbic network and default mode network moderate the association between amyloid-β/tau pathology and cognitive decline. We also investigated whether demographic and health/risk factors are associated with white matter properties., Results: Higher global efficiency of the limbic network, as well as free-water corrected diffusion measures within the tracts of both networks, attenuated the impact of tau pathology on memory decline. Education, age, sex, white matter hyperintensities, and vascular risk factors were associated with white matter properties of both networks., Discussion: White matter can influence cognitive resilience against tau pathology, and promoting education and vascular health may enhance optimal white matter properties., Highlights: Aβ and tau were associated with longitudinal memory change over ∼7.5 years. White matter properties attenuated the impact of tau pathology on memory change. Health/risk factors were associated with white matter properties., (© 2024 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.)
- Published
- 2024
- Full Text
- View/download PDF
19. Distinct spatial contributions of amyloid pathology and cerebral small vessel disease to hippocampal morphology.
- Author
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Xhima K, Ottoy J, Gibson E, Zukotynski K, Scott C, Feliciano GJ, Adamo S, Kuo PH, Borrie MJ, Chertkow H, Frayne R, Laforce R Jr, Noseworthy MD, Prato FS, Sahlas DJ, Smith EE, Sossi V, Thiel A, Soucy JP, Tardif JC, Goubran M, Black SE, and Ramirez J
- Subjects
- Humans, Male, Aged, Female, White Matter pathology, White Matter diagnostic imaging, Atrophy pathology, Magnetic Resonance Imaging, Aged, 80 and over, Neuroimaging, Cohort Studies, Hippocampus pathology, Hippocampus diagnostic imaging, Cerebral Small Vessel Diseases pathology, Cerebral Small Vessel Diseases diagnostic imaging, Positron-Emission Tomography, Alzheimer Disease pathology, Alzheimer Disease diagnostic imaging, Amyloid beta-Peptides metabolism
- Abstract
Introduction: Cerebral small vessel disease (SVD) and amyloid beta (Aβ) pathology frequently co-exist. The impact of concurrent pathology on the pattern of hippocampal atrophy, a key substrate of memory impacted early and extensively in dementia, remains poorly understood., Methods: In a unique cohort of mixed Alzheimer's disease and moderate-severe SVD, we examined whether total and regional neuroimaging measures of SVD, white matter hyperintensities (WMH), and Aβ, as assessed by
18 F-AV45 positron emission tomography, exert additive or synergistic effects on hippocampal volume and shape., Results: Frontal WMH, occipital WMH, and Aβ were independently associated with smaller hippocampal volume. Frontal WMH had a spatially distinct impact on hippocampal shape relative to Aβ. In contrast, hippocampal shape alterations associated with occipital WMH spatially overlapped with Aβ-vulnerable subregions., Discussion: Hippocampal degeneration is differentially sensitive to SVD and Aβ pathology. The pattern of hippocampal atrophy could serve as a disease-specific biomarker, and thus guide clinical diagnosis and individualized treatment strategies for mixed dementia., (© 2024 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.)- Published
- 2024
- Full Text
- View/download PDF
20. Brain PET Imaging in Small Animals: Tracer Formulation, Data Acquisition, Image Reconstruction, and Data Analysis.
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Bdair H, Kang MS, Ottoy J, Aliaga A, Kunach P, Singleton TA, Blinder S, Soucy JP, Leyton M, Rosa-Neto P, and Kostikov A
- Subjects
- Animals, Humans, Radiopharmaceuticals, Image Processing, Computer-Assisted methods, Data Analysis, Positron-Emission Tomography methods, Brain diagnostic imaging
- Abstract
Positron emission tomography (PET) is a noninvasive functional imaging modality that involves in vivo detection of spatiotemporal changes in the binding of radioactive pharmaceuticals (a.k.a. PET tracers) to their target sites in different organs. The development of new PET tracers commonly involves their preclinical evaluation in small rodents. Moreover, laboratory animal PET research is now being used with progressively greater frequency to complement human PET studies, to investigate in greater depth the underlying pathophysiology of human diseases, and to monitor the efficiency of novel therapeutic interventions. Here we describe the steps toward a successful small animal PET study, from tracer formulation and image acquisition to data reconstruction and analysis of the acquired scans, with a particular focus on its utility for the brain., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)
- Published
- 2024
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