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Simon Duchesne

Professeur titulaire

Simon Duchesne
Centre thématique de recherche en neurosciences
Centre de recherche CERVO
Centre de recherche en données massives
Centre de recherche de l'IUCPQ
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Contribution à la recherche

Axe de recherche de l'Université Laval :

Santé et bien-être durables

Thématiques de recherche de la Faculté de médecine :

Bioinformatique / données massives (big data)
Neurosciences et santé mentale
Santé des populations et pratiques optimales en santé
Transfert des connaissances

Domaines et intérêts de recherche du (de la) professeur(e) :

Neurosciences, santé mentale et toxicomanies
  • Apprentissage et mémoire
  • Cognition
  • Fonctions exécutives
  • Maladie d'Alzheimer
  • Démences
  • Maladies neurodégénératives
  • Accidents cérébrovasculaires
  • Métabolisme cérébral
Vieillissement
  • Atrophie cérébrale
  • Dégénérescence cellulaire
  • Âge et facteurs de risques
  • Processus de vieillissement
  • Neuropsychologie cognitive du vieillissement
  • Maladies chroniques chez les personnes âgées
Organismes vivants (êtres humains - Psychologie/aspects biologiques)
  • Cognition et langage
Techniques, mesures et systèmes
Technologies de l'information et des communications

Projets de recherche

  • Salaire d'un professeur - CIUSSS - CN - CERVO, chercheur principal - 2011-07-01 au 2028-06-30
  • Union Neurosciences et Intelligence Artificielle - Québec (UNIQUE) - Université Laval - Fonds internes, Fonds de recherche du Québec - Nature et technologies - Regroupements stratégiques NT, Université de Montréal, co-chercheur - 2022-04-01 au 2028-03-31
  • Health Research Training to Address Vascular Contributions to Cognitive Decline: the Vascular Training (VAST) Platform - Instituts de recherche en santé du Canada - Projet de Plateforme de formation en recherche en santé, University of Calgary, co-chercheur - 2022-01-01 au 2027-12-31
  • Preclinical safety, pharmacokinetics, pharmacodynamics, and efficiency of microRNA oligonucleotides for Alzheimer's disease - Instituts de recherche en santé du Canada - Subvention Projet, co-chercheur - 2022-04-01 au 2027-03-31
  • Computational neuroscience modelling of cognitively healthy aging and Alzheimer's disease - Instituts de recherche en santé du Canada - Subvention Projet, chercheur principal - 2022-04-01 au 2026-03-31
  • Développement d’interfaces pour une infrastructure de traitement de données d’imagerie cérébrale - Fondation de l'Institut universitaire de cardiologie et de pneumologie de Québec, chercheur principal - 2024-01-01 au 2025-12-31
  • Integrating Multi-Omics, Multi-Modal Neuroimaging and Artificial intelligence for Biologically-defined Staging and Statification in the Alzheimer's Disease spectrum - Instituts de recherche en santé du Canada - Subvention Projet, McGill University, co-chercheur - 2020-10-01 au 2025-09-03
  • Fonds institutionnel d'exploitation des infrastructures pour l'Université Laval - Fondation Canadienne pour l'innovation (La) - Fonds d'exploitation des infrastructures (FEI), co-chercheur - 2002-04-01 au 2025-03-31
  • Brain Health Model and Simulator - Conseil de recherches en sciences naturelles et génie Canada - Subventions à la découverte SD (individuelles et d'équipe), chercheur principal - 2019-04-01 au 2025-03-31
  • Explaining activation changes during the early stages of Alzheimer's disease and promoting processes of compensation and brain plasticity - Instituts de recherche en santé du Canada - Subventions Fondation, Université de Montréal, co-chercheur - 2017-07-01 au 2024-06-30
  • Bourse RBIQ – Lyna ABROUGUI - Fonds de recherche du Québec - Santé - Réseaux thématiques de recherche, McGill University, co-chercheur - 2023-09-01 au 2024-03-31
  • Phase Two of the Canadian Consortium on Neurodegeneration in Aging - Société Alzheimer du Canada, Centre for Aging + Brain Health Innovation, Saskatchewan Health Research Foundation, Hypertension Canada, Instituts de recherche en santé du Canada, Fondation des infirmières et infirmiers du Canada, Brain Canada Foundation, Fondation de la recherche en santé du Nouveau-Brunswick - Consortium canadien en neurodégénérescence et vieillissement (CCNV), University of Toronto, co-chercheur - 2019-04-01 au 2024-03-31
  • Platform 3: Image Acquisition and Quality Control - Instituts de recherche en santé du Canada - Projet subsidiaire d'un consortium (pour fins de gestion au VRRCI), University of Toronto, co-chercheur - 2019-04-01 au 2024-03-31
  • Observatoire international sur les impacts sociétaux de l'intelligence artificielle et du numérique - Fonds de recherche du Québec - Société et culture, Université Laval - Fonds internes - Appel à propositions : création d’un Observatoire international sur les impacts sociétaux de l’intelligence artificielle et du numérique, co-chercheur - 2018-04-01 au 2024-03-31
  • DeepBrain: Approches par apprentissage profond pour la prédiction du fardeau cérébro-vasculaire - Ministère des Relations internationales et de la Francophonie - Coopération bilatérale Québec-Pays basque 2023-2024, chercheur principal - 2023-04-01 au 2024-03-31
  • Impacts of exercise and cognitive training interventions on neurocognitive functions in older adults with cardiovascular risk factors - Instituts de recherche en santé du Canada - Subvention Projet, Université de Montréal, co-chercheur - 2018-10-01 au 2023-09-30
  • Comparing the effects of cognitive training and physical exercise on cognition, cerebral autoregulation and cerebral vasoreactivity in men and women with heart failure - Instituts de recherche en santé du Canada - Subvention Projet, Université Concordia, co-chercheur - 2019-04-01 au 2023-03-31
  • The Astronaut Brain Health Data Mining project - Agence spatiale canadienne - Programme global de subventions et contributions à l'appui de la recherche, de la sensibilisation et de l'éducation en sciences et technologies spatiales, chercheur principal - 2022-03-29 au 2023-03-31
  • Impacts of exercise and cognitive training interventions on neurocognitive functions in older adults with cardiovascular risk factors - Instituts de recherche en santé du Canada - Subvention Projet, Institut de cardiologie de Montréal, co-chercheur - 2018-10-01 au 2023-03-31
  • An integrative brain health model for the individual prediction of cognitive decline - Instituts de recherche en santé du Canada - Subvention Projet, chercheur principal - 2018-10-01 au 2022-09-30
  • AI-driven detection of small vessel disease and assessment of its effect on cognitive decline in the context of neurodegeneration - Société Alzheimer du Canada, chercheur principal - 2020-09-01 au 2022-08-30
  • Combining ex vivo histology and MRI to identify cerebrovascular diseases in vivo - Instituts de recherche en santé du Canada - Consortium canadien en neurodégénérescence et vieillissement (CCNV), University of Toronto, co-chercheur - 2020-04-01 au 2022-03-31
  • Deep Learning Histopathological Cerebrovascular Lesions Assessment - Fonds de recherche du Québec - Santé - Réseaux thématiques de recherche, chercheur principal - 2021-04-01 au 2022-03-31
  • Union Neurosciences et Intelligence Artificielle Québec - Université McGill, Fonds de recherche du Québec - Nature et technologies, Université Laval - Fonds internes - Regroupements stratégiques NT, Université de Montréal, co-chercheur - 2019-04-01 au 2022-03-31
  • Une infrastructure IA multi-usagers clé en main pour gérer le cycle de vie complet des données en santé - Université Laval - Fonds internes - BDR - Cas spéciaux et obligations institutionnelles, chercheur principal - 2021-04-01 au 2021-11-30
  • Télé-NEUROS (Nouvel Environnement Universitaire de Recherche Orchestrée en Santé mentale et cognitive: une télé initiative) - CIUSSS - CN - CIRRIS, Université Laval - Fonds internes, CIUSSS - CN - CERVO, co-chercheur - 2020-10-20 au 2021-03-31

Publications

  • Histopathological assessment and staging of large and small vessel disease associated with normal brain aging: Human neuropathology / vascular, , AAIC - Alzheimer's Association International Conference, 2020, 10.1002/alz.044067
  • A novel patch-based procedure for estimating brain age across adulthood, Duchesne, S., Dieumegarde, L., Potvin, O., Gravel, P., Beheshti, I., NeuroImage, 2019, 10.1016/j.neuroimage.2019.05.025
  • Amnestic MCI future clinical status prediction using baseline MRI features, Collins, D. Louis, Chertkow, Howard, Frisoni, Giovanni B., De Sousa, Kathy, Bocti, Christian, Duchesne, Simon, Neurobiology of Aging, 2010, 10.1016/j.neurobiolaging.2008.09.003
  • Evidence of a relation between hippocampal volume, white matter hyperintensities, and cognition in subjective cognitive decline and mild cognitive impairment, Belleville, S., Phillips, N., Mellah, S., Maltezos, S., Gagnon, J.-F., Lorrain, D., Duchesne, S., Brambati, S., Boller, B., Hudon, C., Caillaud, M., Journals of Gerontology - Series B Psychological Sciences and Social Sciences, 2020, 10.1093/geronb/gbz120
  • A multiomics approach to heterogeneity in Alzheimer's disease: Focused review and roadmap, Bellec, P., Dixon, R.A., Li, L., Masellis, M., Duchesne, S., Chertkow, H., Black, S.E., Sapkota, S., Peggy McFall, G., Badhwar, A., Brain, 2020, 10.1093/brain/awz384
  • Tissue-based MRI intensity standardization: application to multicentric datasets., The Alzheimer's Disease Neuroimaging Initiative, Duchesne, Simon, Valdivia, Fernando, Crepeault, Burt, Mouiha, Abderazzak, Robitaille, Nicolas, International journal of biomedical imaging, 2012, 10.1155/2012/347120
  • Braak neurofibrillary tangle staging prediction from in vivo MRI metrics, Duchesne, S., Saikali, S., Dieumegarde, L., Potvin, O., Beheshti, I., Dallaire-Théroux, C., Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, 2019, 10.1016/j.dadm.2019.07.001
  • White Matter Hyperintensities in Mild Cognitive Impairment and Lower Risk of Cognitive Decline, Bocti, C., Duchesne, S., Mouiha, A., Nolze-Charron, G., Journal of Alzheimer's Disease, 2015, 10.3233/JAD-140618
  • Structural neuroimaging of concomitant depressive symptoms in amnestic mild cognitive impairment: a pilot study., Hudon, Carol, Duchesne, Simon, Pietrantonio, Sandra, Mouiha, Abderazzak, Morin, Jean-Francois, Dementia and geriatric cognitive disorders extra, 2012, 10.1159/000345234
  • Grid computing application for brain magnetic resonance image processing, Duchesne, S., Crépeault, B., Valdivia, F., Journal of Physics: Conference Series, 2012, 10.1088/1742-6596/341/1/012011
  • The Canadian Dementia Imaging Protocol: Harmonizing National Cohorts, Black, S.E., Strother, S.C., Smith, E.E., Scott, C.J.M., Ramirez, J., McCreary, C.R., Hoge, R., Descoteaux, M., Collins, D.L., Bellec, P., Bartha, R., Khademi, A., Fonov, V.S., Potvin, O., Chouinard, I., Duchesne, S., Journal of Magnetic Resonance Imaging, 2019, 10.1002/jmri.26197
  • The comprehensive assessment of neurodegeneration and dementia: Canadian cohort study, Rylett, R.J., MacKenzie, I., Duchesne, S., Dixon, R.A., MacNamara, E., Phillips, N.A., Poirier, J., Pilon, R., Mohaddes, Z., Das, S., Evans, A., Best, S., Lindsay, J., Fogarty, J., Smith, E.E., Camicioli, R., Hsiung, G.-Y.R., Andrew, M., Tierney, M.C., Rockwood, K., McGilton, K., Masellis, M., Hogan, D.B., Gauthier, S., Feldman, H.H., Black, S.E., Chertkow, H., Borrie, M., Whitehead, V., Canadian Journal of Neurological Sciences, 2019, 10.1017/cjn.2019.27
  • Structural and functional multi-platform MRI series of a single human volunteer over more than fifteen years, Potvin, O., Beaulieu, C., Houde, J.-C., Boré, A., Descoteaux, M., Tétreault, P., Bellec, P., Badhwar, A., Farokhian, F., Chouinard, I., Dieumegarde, L., Duchesne, S., Scientific Data, 2019, 10.1038/s41597-019-0262-8
  • Radiological-Pathological Correlation in Alzheimer's Disease: Systematic Review of Antemortem Magnetic Resonance Imaging Findings, Duchesne, S., Saikali, S., Potvin, O., Callahan, B.L., Dallaire-Théroux, C., Journal of Alzheimer's disease : JAD, 2017, 10.3233/JAD-161028
  • Detecting Early Preclinical Alzheimer's Disease via Cognition, Neuropsychiatry, and Neuroimaging: Qualitative Review and Recommendations for Testing, CIMA-Q Grp, Hudon, Carol, Collins, D. Louis, Duchesne, Simon, Fouquet, Celine, Belleville, Sylvie, Journal of Alzheimers Disease, 2014, 10.3233/JAD-141470
  • Relating one-year cognitive change in mild cognitive impairment to baseline MRI features, Frisoni, Giovanni B., Collins, D. Louis, Geroldi, Cristina, Caroli, Anna, Duchesne, Simon, Neuroimage, 2009, 10.1016/j.neuroimage.2009.04.023
  • Measurement Variability following MRI system upgrade, , Frontiers in Neurology, 2019, 10.3389/fneur.2019.00726
  • Reliability assessment of tissue classification algorithms for multi-center and multi-scanner data, Duchesne, S., Dadar, M., NeuroImage, 2020, 10.1016/j.neuroimage.2020.116928
  • A novel ex vivo, in situ method to study the human brain through MRI and histology, Bronchti, G., Boire, D., Tardif, C.L., Duchesne, S., Plante, S., Pellerin, J., Frigon, E.-M., Bertrand-Grenier, A., Dadar, M., Maranzano, J., Journal of Neuroscience Methods, 2020, 10.1016/j.jneumeth.2020.108903
  • On the classification of temporal lobe epilepsy using MR image appearance, Collins, D.L., Bernasconi, A., Duchesne, S., Bernasconi, N., Proceedings - International Conference on Pattern Recognition, 2002
  • Normative data for subcortical regional volumes over the lifetime of the adult human brain, Alzheimer's Dis Neuroimaging Initi, Duchesne, Simon, Dieumegarde, Louis, Potvin, Olivier, Mouiha, Abderazzak, Neuroimage, 2016, 10.1016/j.neuroimage.2016.05.016
  • Temporal Lobe Atrophy In MCI Adults With Or Without Depressive Symptoms And In Patients With Late-Life Depression, , Alzheimer's Imaging Consortium Conference, 2017, 10.1016/j.jalz.2017.06.1584
  • Normative morphometric data for cerebral cortical areas over the lifetime of the adult human brain, Duchesne, S., Dieumegarde, L., Potvin, O., NeuroImage, 2017, 10.1016/j.neuroimage.2017.05.019
  • On the classification of temporal lobe epilepsy using MR image appearance, , 16th International Conference on Pattern Recognition, Vol I, Proceedings, 2002, 10.1109/ICPR.2002.1044784
  • Faster progression from MCI to probable AD for carriers of a single-nucleotide polymorphism associated with type 2 diabetes, Duchesne, S., Cunnane, S., Dallaire-Théroux, C., Nugent, S., Potvin, O., Girard, H., Neurobiology of Aging, 2018, 10.1016/j.neurobiolaging.2017.11.013
  • Preoperative brain shift: Study of three surgical cases - art. no. 691818, , Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, Pts 1 and 2 - Proceedings of SPIE, 2008, 10.1117/12.772634
  • Erratum: Survey of protocols for the manual segmentation of the hippocampus: Preparatory steps towards a joint EADC-ADNI harmonized protocol (Journal of Alzheimer's Disease (2011) 26: 3 (61-75)), Frisoni, G.B., Jack Jr., C.R., Duchesne, S., Watson, C., Soininen, H., Pruessner, J.C., Pantel, J., Leh́ericy, S., Killiany, R.J., DeToledo-Morrell, L., De Leon, M.J., Csernansky, J.G., Camicioli, R., Bartzokis, G., Redolfi, A., Pievani, M., Bocchetta, M., Ganzola, R., Boccardi, M., Journal of Alzheimer's Disease, 2012, 10.3233/JAD-2012-128000
  • Patch-wise brain age longitudinal reliability, Duchesne, S., Potvin, O., Beheshti, I., Human Brain Mapping, 2021, 10.1002/hbm.25253
  • P4‐251:Similarities between the cognitive profil of individuals with subjective cognitive decline and that of persons with mild cognitive imparement: a study from de CIMA-Q cohort, , (AAIC) Alzheimer's Association International Conference , 2019, 10.1016/j.jalz.2019.06.3920
  • Multivariate consistency of resting-state fMRI connectivity maps acquired on a single individual over 2.5 years, 13 sites and 3 vendors, Bellec, P., Duchesne, S., Potvin, O., Vogel, J., Chouinard, I., Urchs, S., Orban, P., Collin-Verreault, Y., Badhwar, A., NeuroImage, 2020, 10.1016/j.neuroimage.2019.116210
  • Harmonized benchmark labels of the hippocampus on magnetic resonance: The EADC-ADNI project, Wang, L., Soininen, H., Pruessner, J.C., Malykhin, N., Killiany, R.J., Henneman, W., Gerritsen, L., Firbank, M., Fellgiebel, A., Detoledo-Morrell, L., Decarli, C., Bartzokis, G., Frisoni, G.B., Duchesne, S., Jack, C.R., Ferrari, C., Pasqualetti, P., Robitaille, N., Wolf, D., Preboske, G., Apostolova, L.G., Ganzola, R., Boccardi, M., Bocchetta, M., Alzheimer's and Dementia, 2015, 10.1016/j.jalz.2013.12.019
  • MR-based neurological disease classification methodology: Application to lateralization of seizure focus in temporal lobe epilepsy, Collins, DL, Duchesne, S, Bernasconi, N, Bernasconi, A, Neuroimage, 2006, 10.1016/j.neuroimage.2005.07.052
  • Steps to standardization and validation of hippocampal volumetry as a biomarker in clinical trials and diagnostic criterion for Alzheimer's disease, Weiner, Michael, Foster, Norman L., Suhy, Joyce, Thompson, Paul M., Sperling, Reisa, Schwarz, Adam J., Scheltens, Philip, Mangin, Jean-Francois, Johnson, Keith, Hill, Derek L. G., Hampel, Harald, Frisoni, Giovanni B., Fox, Nick C., Duchesne, Simon, Dubois, Bruno, DeCarli, Charles, Cole, Patricia E., Cantillon, Marc, Bernstein, Matt A., Jack, Clifford R., Jr., Barkhof, Frederik, Alzheimers & Dementia, 2011, 10.1016/j.jalz.2011.04.007
  • The Midbrain Is The Optimal Intensity Normalization Region For FEDG-PET Studies Of Normal Aging, , AAIC - Alzheimer's Association International Conference, 2018
  • The impact of automated hippocampal volumetry on diagnostic confidence in patients with suspected Alzheimer's disease: A European Alzheimer's Disease Consortium study, Frisoni, G.B., Zekry, D., Yener, G.G., Tsolaki, M., Popovic, K.S., Stefanova, E., Spiru, L., Sotolongo-Grau, O., Santana, I., Salmon, E., Picco, A., Pelini, L., Paraskevas, G.P., O'Dwyer, S., Ntovas, K., Nobili, F., Niemantsverdriet, E., Morais, R., Molinuevo, J.L., Mecocci, P., Marinescu, M., Mandic Stojmenovic, G., Bougea, A., Emek-Savaş, D.D., Engelborghs, S., Grimmer, T., Grosu, G., Kramberger, M.G., Lawlor, B., Bastin, C., Balasa, M., Assal, F., Alegret, M., Wolz, R., Sensi, F., Roche, A., Maréchal, B., Duchesne, S., Collins, D.L., Chincarini, A., Austin, M., Galluzzi, S., Mega, A., Ferrari, C., Bocchetta, M., Redolfi, A., Bosco, P., Alzheimer's and Dementia, 2017, 10.1016/j.jalz.2017.01.019
  • Whole-brain voxel-based statistical analysis of gray alter and white matter in temporal lobe epilepsy, Bernasconi, A, Collins, DL, Lerch, J, Janke, A, Duchesne, S, Bernasconi, N, Neuroimage, 2004, 10.1016/j.neuroimage.2004.06.015
  • The EADC-ADNI harmonized protocol for manual hippocampal segmentation on magnetic resonance: Evidence of validity, Winblad, B., Weiner, M.W., Wahlund, L.-O., Visser, P.-J., Thompson, P.M., Simmons, A., Sachdev, P., Mueller, S., Maller, J.J., Launer, L., Jagust, W., Hock, C., Denheijer, T., Hampel, H., Dubois, B., Collins, D.L., Camicioli, R., Bennet, D., Albert, M.S., Boccardi, M., Duvernoy, H., Duchesne, S., Pasqualetti, P., Bosco, P., Ferrari, C., Pantel, J., Deleon, M., Wolf, H., Watsonl, C., Wang, L., Pruessner, J.C., Malykhin, N., Henneman, W., Gerritsen, L., Firbank, M., Barnes, J., Fellgiebel, A., Waldemar, G., Teipel, S., Soininen, H., Scheltens, P., Silbert, L.C., O'Brien, J., Matsuda, H., Lehericy, S., Killiany, R.J., Kaye, J., Geerlings, M.I., Detoledo-Morrell, L., Csernansky, J.G., DeCarli, C., Bartzokis, G., Barkhof, F., Wolf, D., Ganzola, R., Apostolova, L.G., Ward, C., Stoub, T., Portegies, M., Nishikawa, M., Martinez, O., Lanfredi, M., Grothe, M.J., Cavedo, E., Blair, M., Swihart, T., Preboske, G., Liu, Y., Frederiksen, K.S., Bauer, C., Frisoni, G.B., Jack, C.R., Bocchetta, M., Alzheimer's and Dementia, 2015, 10.1016/j.jalz.2014.05.1756
  • Quantitative evaluation of Alzheimer's disease, Frisoni, G.B., Duchesne, S., Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2009, 10.1117/12.810804
  • Analysis of 3D deformation fields for appearance-based segmentation, , International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2001), 2001, 10.1007/3-540-45468-3_157
  • Hippocampal atrophy rates in Alzheimer's disease: Automated segmentation variability analysis, Duchesne, S., Mouiha, A., Neuroscience Letters, 2011, 10.1016/j.neulet.2011.02.065
  • Appearance-based modelling and segmentation of the hippocampus from MR images, Collins, D.L., Pruessner, J.C., Duchesne, S., Annual Reports of the Research Reactor Institute, Kyoto University, 2001
  • Validation of an Magnetic Resonance Imaging Acquisition and Review Protocol for Alzheimer's Disease and Related Disorders, Brisson, M., Duchesne, S., Potvin, O., Bouchard, L.-O., Asselin, A., Canadian Association of Radiologists Journal, 2019, 10.1016/j.carj.2018.10.008
  • Proposing a manuscript peer-review checklist, Jannin, Pierre, Duchesne, Simon, Neuroimage, 2008, 10.1016/j.neuroimage.2007.09.065
  • Stem Cell-Derived Neurons as Cellular Models of Sporadic Alzheimer's Disease, LeBlanc, A.C., Duchesne, S., Belleville, S., Kergoat, M.-J., Potvin, O., Rainone, S., Hébert, S.S., Correia, A.S., Foveau, B., Journal of Alzheimer's Disease, 2019, 10.3233/JAD-180833
  • Predicting Alzheimer's disease development: A comparison of cognitive criteria and associated neuroimaging biomarkers, Black, S.E., Duchesne, S., Berezuk, C., Ramirez, J., Callahan, B.L., Alzheimer's Research and Therapy, 2015, 10.1186/s13195-015-0152-z
  • Longitudinal differences in white matter integrity in youth at high familial risk for bipolar disorder, Duchesne, S., Whalley, H.C., McIntosh, A.M., Sussmann, J., Macdonald, A., Giles, S., Bastin, M.E., Nickson, T., Ganzola, R., Bipolar Disorders, 2017, 10.1111/bdi.12489
  • Survey of protocols for the manual segmentation of the hippocampus: Preparatory steps towards a joint EADC-ADNI harmonized protocol, Frisoni, G.B., Jack Jr., C.R., Duchesne, S., Watson, C., Soininen, H., Pruessner, J.C., Pantel, J., Lehéricy, S., Killiany, R.J., Detoledo-Morrell, L., De Leon, M.J., Csernansky, J.G., Camicioli, R., Bartzokis, G., Redolfi, A., Boccardi, M., Ganzola, R., Bocchetta, M., Pievani, M., Journal of Alzheimer's Disease, 2011, 10.3233/JAD-2011-0004
  • EADC-ADNI Benchmark Images for Harmonized Hippocampal Segmentation, Frisoni, Giovanni, Jack, Clifford, Duchesne, Simon, Robitaille, Nicolas, Pasqualetti, Patrizio, Wolf, Dominik, Preboske, Gregory, Ganzola, Rossana, Apostolova, Liana, Bocchetta, Martina, Boccardi, Marina, Neurology, 2013
  • Special Issue on MICCAI 2017, Duchesne, S., Collins, D.L., Jannin, P., Franz, A., Maier-Hein, L., Descoteaux, M., Medical Image Analysis, 2018, 10.1016/j.media.2018.07.005
  • High-Dimensional Medial Lobe Morphometry: An Automated MRI Biomarker for the New AD Diagnostic Criteria, Robitaille, N., Mouiha, A., Valdivia, F., Duchesne, S., International Journal of Alzheimer's Disease, 2015, 10.1155/2014/278096
  • Computer-aided differential diagnosis in movement disorders using MRI morphometry, Barillot, C., Verin, M., Roland, Y., Duchesne, S., Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2007, 10.1117/12.710841
  • Trajectory analyses of morphometric imaging measures provide novel insights into the dynamics of brain aging as moderated by sex and APOE, , AAIC - Alzheimer’s Association International Conference, 2019, 10.1016/j.jalz.2019.06.936
  • Establishing Magnetic Resonance Images Orientation for the EADC-ADNI Manual Hippocampal Segmentation Protocol, Frisoni, G.B., Jack, C.R., Duchesne, S., Collins, L.D., Pasqualetti, P., Robitaille, N., Preboske, G., Apostolova, L.G., Bocchetta, M., Boccardi, M., Journal of Neuroimaging, 2014, 10.1111/jon.12065
  • When the Wedding March becomes sad: Semantic memory impairment for music in the semantic variant of primary progressive aphasia, Monetta, L., Duchesne, S., Potvin, O., Gravel, P., Hudon, C., Laforce, R., Wilson, M.A., Berubé-Lalancette, S., Macoir, J., Neurocase, 2016, 10.1080/13554794.2016.1257025
  • Temporal lobe epilepsy lateralization based on MR image intensity and registration features, , International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2003), 2003, 10.1007/978-3-540-39899-8_46
  • The relationship between brain markers of neurodegeneration and cognition in persons with subjective cognitive decline: a study from the CIMA-Q cohort, , Alzheimer's Association International Conference, 2018, 10.1016/j.jalz.2018.06.2492
  • Single time point high-dimensional morphometry in Alzheimer's disease: Group statistics on longitudinally acquired data, Robitaille, N., Mouiha, A., Valdivia, F., Duchesne, S., Neurobiology of Aging, 2015, 10.1016/j.neurobiolaging.2014.06.031
  • Manual segmentation qualification platform for the EADC-ADNI harmonized protocol for hippocampal segmentation project, Wolf, D., Boccardi, M., Jack, C.R., Frisoni, G.B., Preboske, G., Ganzola, R., Apostolova, L.G., Bocchetta, M., Valdivia, F.A., Mouiha, A., Robitaille, N., Valdivia, F., Duchesne, S., Alzheimer's and Dementia, 2015, 10.1016/j.jalz.2015.01.002
  • Appearance-based segmentation of medial temporal lobe structures, Pruessner, JC, Collins, DL, Duchesne, S, Neuroimage, 2002, 10.1006/nimg.2002.1188
  • White Matter Damage in the Semantic Variant of Primary Progressive Aphasia, Duchesne, S., Laforce, R., Bouchard, L.-O., Wilson, M.A., Canadian Journal of Neurological Sciences, 2019, 10.1017/cjn.2019.37
  • Corrigendum to ‘Normative morphometric data for cerebral cortical areas over the lifetime of the adult human brain’ [NeuroImage 156 (2017) 315–339] (NeuroImage (2017) 156 (315–339), (S1053811917304135) (10.1016/j.neuroimage.2017.05.019)), Duchesne, S., Dieumegarde, L., Potvin, O., NeuroImage, 2018, 10.1016/j.neuroimage.2018.09.019
  • A quadratic function of activation in individuals at risk of Alzheimer's disease, , Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 2020, 10.1002/dad2.12139
  • Baseline Differences In Brain Morphometry And Image Grading Of Individuals On The Continuum From Subjective Cognitive Decline To AD: Results from the CIMA-Q Study, , AAIC - Alzheimer's Association International Conference, 2018, 10.1016/j.jalz.2018.06.1736
  • Association Between Cerebellar Volumes and Cognitive Functioning, , Alzheimer’s Disease and Associated Disorders, 2019, 10.1097/WAD.0000000000000327
  • Antemortem Longitudinal Mri Metrics As A Biomarker Of Postmortem Braak NFT Staging, , AAIC - Alzheimer's Association International Conference, 2018, 10.1016/j.jalz.2018.06.2057
  • Cognitive and motor correlates of grey and white matter pathology in Parkinson's disease, Camicioli, R., Duchesne, S., Shuaib, A., Gee, M., Dadar, M., NeuroImage: Clinical, 2020, 10.1016/j.nicl.2020.102353
  • FDG-PET Normative Data in Cognitively Healthy Aging, , AAIC - Alzheimer’s Association International Conference, 2019, 10.1016/j.jalz.2019.06.4227
  • Guest editorial for the IJCARS special issue on MICCAI 2017, Duchesne, S., Collins, L.D., Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., International Journal of Computer Assisted Radiology and Surgery, 2018, 10.1007/s11548-018-1847-y
  • Freesurfer cortical normative data for adults using Desikan-Killiany-Tourville and ex vivo protocols, Duchesne, S., Dieumegarde, L., Potvin, O., NeuroImage, 2017, 10.1016/j.neuroimage.2017.04.035
  • White matter hyperintensities, gray matter atrophy and cognitive deficits in Parkinson’s disease: Neuroimaging/Optimal neuroimaging measures for tracking disease progression, , AAIC - Alzheimer's Association International Conference, 2020, 10.1002/alz.041161
  • Survey of protocols for the manual segmentation of the hippocampus: Preparatory steps towards a joint EADC-ADNI harmonized protocol, , Handbook of Imaging the Alzheimer Brain, 2011, 10.3233/978-1-60750-793-2-111
  • 3-D analysis of cortical morphometry in differential diagnosis of parkinson's plus syndromes: mapping frontal lobe cortical atrophy in progressive supranuclear palsy patients, , International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2007), 2007, 10.1007/978-3-540-75759-7_108
  • Test-retest reliability of a new medial temporal atrophy morphological metric, Robitaille, N., Mouiha, A., Valdivia, F., Duchesne, S., International Journal of Alzheimer's Disease, 2012, 10.1155/2012/979804
  • HOXA1 A218G polymorphism is associated with smaller cerebellar volume in healthy humans: Experimental laboratory research, Frisoni, G.B., Binetti, G., Testa, C., Duchesne, S., Benussi, L., Ghidoni, R., Boccardi, M., Canu, E., Journal of Neuroimaging, 2009, 10.1111/j.1552-6569.2008.00326.x
  • The Consortium for the early identification of Alzheimer's disease–Quebec (CIMA-Q), Villalpando, J.M., Verret, L., Dang Vu, T.T., Soucy, J.-P., Philips, N., Marie-Jeanne-Kergoat, C.H., Cunnane, S., Collins, L., Chertkow, H., Bocti, C., Gauthier, S., Bellec, P., Duchesne, S., Mechawar, N., Leclerc, N., Hudon, C., Hébert, S.S., Gaudreau, P., Calon, F., Kergoat, M.-J., LeBlanc, A.C., Belleville, S., Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, 2019, 10.1016/j.dadm.2019.07.003
  • Temporal Lobe Activation Moderates The Detrimental Effect Of Hippocampal Atrophy On Episodic Memory And Contributes To Cognitive Reserve: Results From The CIMA-Qcohort, , AAIC - Alzheimer's Association International Conference, 2018, 10.1016/j.jalz.2018.06.1693
  • FreeSurfer subcortical normative data, Duchesne, S., Dieumegarde, L., Mouiha, A., Potvin, O., Data in Brief, 2016, 10.1016/j.dib.2016.10.001
  • Morphological factor estimation via high-dimensional reduction: Prediction of MCI conversion to probable AD, Mouiha, A., Duchesne, S., International Journal of Alzheimer's Disease, 2011, 10.4061/2011/914085
  • When the left brain's away, the right will play - Emergent artistic proficiency in primary progressive apraxia of speech, Laforce, Robert, Jr., Duchesne, Simon, Potvin, Olivier, Bergeron, David, Verret, Louis, Cortex, 2016, 10.1016/j.cortex.2015.11.022
  • Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme, Duchesne, S., Potvin, O., Nugent, S., Beheshti, I., NeuroImage: Clinical, 2019, 10.1016/j.nicl.2019.102063
  • Neural correlates of resilience to the effects of hippocampal atrophy on memory, Hudon, C., Phillips, N., Maltezos, S., Duchesne, S., Dang-Vu, T.T., Cloutier, S., Mellah, S., Belleville, S., NeuroImage: Clinical, 2021, 10.1016/j.nicl.2020.102526
  • A dataset of long-term consistency values of resting-state fMRI connectivity maps in a single individual derived at multiple sites and vendors using the Canadian Dementia Imaging Protocol, Bellec, P., Duchesne, S., Potvin, O., Vogel, J., Chouinard, I., Urchs, S., Orban, P., Sharmarke, H., Lussier, D., Collin-Verreault, Y., Badhwar, A., Data in Brief, 2020, 10.1016/j.dib.2020.105699
  • Hippocampus and amygdala volumes in children and young adults at high-risk of schizophrenia: Research synthesis, Duchesne, S., Maziade, M., Ganzola, R., Schizophrenia Research, 2014, 10.1016/j.schres.2014.03.030
  • Drivers with Amnestic Mild Cognitive Impairment Can Benefit from a Multiple-Session Driving Simulator Automated Training Program., Hudon, Carol, Duchesne, Simon, Bherer, Louis, Germain Robitaille, Mathieu, Laurendeau, Denis, Moszkowicz, Thierry, Hudon, Lisa, Simoneau, Martin, Teasdale, Normand, Journal of the American Geriatrics Society, 2016, 10.1111/jgs.14219
  • The temporal relationships between white matter hyperintensities, neurodegeneration, amyloid beta, and cognition, Collins, D.L., Duchesne, S., Camicioli, R., Dadar, M., Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, 2020, 10.1002/dad2.12091
  • Manual segmentation certification platform For the EADC-ADNI Harmonized Protocol for Hippocampal Volumetry Project, , 2013 Ieee International Symposium on Medical Measurements and Applications Proceedings (Memea), 2013, 10.1109/MeMeA.2013.6549701
  • Assessment of adolescent body perception: Development and characterization of a novel tool for morphing images of adolescent bodies, Paus, Tomas, Duchesne, Simon, Aleong, Rosanne, Behavior Research Methods, 2007, 10.3758/BF03193037
  • MRI-based automated computer classification of probable AD versus normal controls, Collins, D. Louis, Frisoni, Giovanni B., Barillot, Christian, Geroldi, C., Caroli, Anna, Duchesne, Simon, Ieee Transactions on Medical Imaging, 2008, 10.1109/TMI.2007.908685
  • Études d’imagerie métabolique liant les facteurs de risque génétique du diabète de type 2 au déclin cognitif vers la maladie d’Alzheimer, , Déclin cognitif, obésité, diabète et autres troubles métaboliques, 2020
  • Associating Type 2 Diabetes Risk Factor Genes and FDG-PET Brain Metabolism in Normal Aging and Alzheimer’s Disease, Duchesne, S., Chen, T.-H., Cunnane, S.C., Potvin, O., Nugent, S., Frontiers in Aging Neuroscience, 2020, 10.3389/fnagi.2020.580633
  • Clinical Predictors of Postmortem Amyloid and Nonamyloid Cerebral Small Vessel Disease in Middle-Aged to Older Adults, Simon Duchesne, Colin Smith, Caroline Dallaire-Théroux, Neurology Clinical Practice, 2024, 10.1212/CPJ.0000000000200271
  • Gray and white matter damage are associated with motor symptoms in Parkinson’s disease: Neuroimaging: Other neurodegenerative disorders, , AAIC - Alzheimer's Association International Conference, 2020, 10.1002/alz.041174
  • Harmonizing brain magnetic resonance imaging methods for vascular contributions to neurodegeneration, Wardlaw, J.M., Dichgans, M., Werring, D., Viswanathan, A., van Rooden, S., van Osch, M., van Oostenbrugge, R., Swartz, R.H., Steketee, R.M.E., Sourbron, S., Sharma, M., Seshadri, S., Scott, C.J.M., Sachdev, P.S., Rost, N.S., Ropele, S., Romero, J.R., Reijmer, Y.D., Ramirez, J., Pike, G.B., Pantoni, L., Mok, V.C.T., McCreary, C.R., Linn, J., Launer, L.J., Lam, B.Y.K., Job, D., Ingrisch, M., Gurol, M.E., Greenberg, S.M., DeCarli, C., Corriveau, R., Chen, C., Black, S.E., Ballerini, L., Backes, W.H., Adams, H., Vernooij, M.W., Thrippleton, M.J., MacIntosh, B.J., Jouvent, E., Ikram, M.A., Frayne, R., Düring, M., Duchesne, S., de Leeuw, F.E., De Guio, F., Biessels, G.J., Smith, E.E., Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, 2019, 10.1016/j.dadm.2019.01.002
  • Towards a Dynamic Biomarker Model in Alzheimer's Disease, Alzheimer's Dis Neuroimaging, Duchesne, Simon, Mouiha, Abderazzak, Journal of Alzheimers Disease, 2012, 10.3233/JAD-2012-111367
  • Operationalizing protocol differences for EADC-ADNI manual hippocampal segmentation, Watson, C., Soininen, H., Pruessner, J.C., Pantel, J., Malykhin, N., Lehericy, S., Killiany, R.J., Detoledo-Morrell, L., De Leon, M.J., Csernansky, J.G., Bartzokis, G., Frisoni, G.B., Jack, C.R., Duchesne, S., Redolfi, A., Robitaille, N., Ganzola, R., Bocchetta, M., Boccardi, M., Alzheimer's and Dementia, 2015, 10.1016/j.jalz.2013.03.001
  • Comprehensive Morphometric Cortical/Subcortical Normative Data: Freesurfer Atlases Comparison, , AAIC - Alzheimer's Imaging Consortium Conference, 2017, 10.1016/j.jalz.2017.06.1057
  • Temporal lobe epilepsy surgical outcome prediction, , International Conference on Medical Image Computing and Computer-Assisted Intervention, 2004, 10.1007/978-3-540-30136-3_85
  • Label fusion strategy selection, Duchesne, S., Robitaille, N., International Journal of Biomedical Imaging, 2012, 10.1155/2012/431095
  • Corrigendum to ‘Normative data for subcortical regional volumes over the lifetime of the adult human brain’ [NeuroImage 137 (2016) 9–20] (NeuroImage (2016) 137 (9–20), (S1053811916301355) (10.1016/j.neuroimage.2016.05.016)), Duchesne, S., Dieumegarde, L., Mouiha, A., Potvin, O., NeuroImage, 2018, 10.1016/j.neuroimage.2018.09.020
  • The Canadian Dementia Imaging Protocol: Harmonization validity for morphometry measurements, Duchesne, S., Black, S.E., Strother, S.C., Smith, E.E., Scott, C.J.M., Ramirez, J., Hoge, R., Descoteaux, M., Collins, D.L., Bellec, P., Bartha, R., Dieumegarde, L., Chouinard, I., Potvin, O., NeuroImage: Clinical, 2019, 10.1016/j.nicl.2019.101943
  • Corrigendum to: “FreeSurfer subcortical normative data” [Data in Brief 9 (2016) 732–736] (FreeSurfer subcortical normative data (2016) 9 (732–736), (S235234091630628X), (10.1016/j.dib.2016.10.001)), Duchesne, S., Dieumegarde, L., Mouiha, A., Potvin, O., Data in Brief, 2019, 10.1016/j.dib.2019.103704
  • Delphi Consensus on Landmarks for the Manual Segmentation of the Hippocampus on MRI: Preliminary Results from the EADC-ADNI Harmonized Protocol Working Group, Frisoni, Giovanni, Jack, Clifford, Duchesne, Simon, Wolf, Henrike, Watson, Craig, Wang, Lei, Tolomeo, Daniele, Soininen, Hilkka, Robitaille, Nicolas, Redolfi, Alberto, Pruessner, Jens, Pasqualetti, Patrizio, Malykhin, Nikolai, Killiany, Ronald, Henneman, Wouter, Gerritsen, Lotte, Ganzola, Rossana, Firbank, Michael, DeToledo-Morrell, Leyla, DeCarli, Charles, Corbetta, Gabriele, Bartzokis, George, Barnes, Josephine, Apostolova, Liana, Bocchetta, Martina, Boccardi, Marina, Neurology, 2012
  • General Overview And Early Neuroanatomical Findings In SCD, , Alzheimer's Imaging Consortium Conference, 2017, 10.1016/j.jalz.2017.06.2032
  • Links between metabolic and structural changes in the brain of cognitively normal older adults: A 4-year longitudinal follow-up, Cunnane, S.C., Duchesne, S., Potvin, O., Dionne, I.J., Turcotte, É.E., Fülöp, T., Lepage, M., Paquet, N., Tremblay, S., Nugent, S., Vandenberghe, C., St-Pierre, V., Fortier, M., Croteau, E., Hudon, C., Castellano, C.-A., Frontiers in Aging Neuroscience, 2019, 10.3389/fnagi.2019.00015
  • White matter hyperintensities mediate the impact of amyloid ß on future freezing of gait in Parkinson's disease, Richard Camicioli, Simon Duchesne, Janis Miyasaki, Mahsa Dadar, Parkinsonism & Related Disorders, 2021, 10.1016/j.parkreldis.2021.02.031
  • Redefining ultrasound appearance criteria of positive axillary lymph nodes, Duchesne, S, Florack, P, Jaffey, J, Duchesne, N, Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes, 2005
  • Presence Of Task-Related Hyperactivation In Persons With Subjective Cognitive Decline: Evidence From The CIMA-Q Cohort, , AAIC - Alzheimer's Association International Conference, 2018, 10.1016/j.jalz.2018.06.1734
  • Diffusion tensor imaging correlates of early markers of depression in youth at high-familial risk for bipolar disorder, Whalley, H.C., Duchesne, S., Sussmann, J., Macdonald, A., Giles, S., Bastin, M.E., Sprooten, E., Nickson, T., McIntosh, A.M., Ganzola, R., Journal of Child Psychology and Psychiatry and Allied Disciplines, 2018, 10.1111/jcpp.12879
  • Knowledge-Based Discrimination in Alzheimer's Disease, , 1st MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support, 2010, 10.1007/978-3-642-11769-5_9
  • Brain atrophy and patch-based grading in individuals from the CIMA-Q study: a progressive continuum from subjective cognitive decline to AD, Duchesne, S., Rheault, S., Collins, D.L., Potvin, O., Marcotte, C., Scientific Reports, 2019, 10.1038/s41598-019-49914-3
  • Automated Computer Differential Classification in Parkinsonian Syndromes via Pattern Analysis on MRI, Vérin, M., Rolland, Y., Duchesne, S., Academic Radiology, 2009, 10.1016/j.acra.2008.05.024
  • Appearance-based segmentation of medial temporal lobe structures, Collins, D.L., Pruessner, J.C., Duchesne, S., NeuroImage, 2002, 10.1016/S1053-8119(02)91188-2
  • Multi-decade hippocampal and amygdala volume analysis: Equal variability and limited age effect, Duchesne, S., Mouiha, A., Neuroscience Letters, 2011, 10.1016/j.neulet.2011.05.041
  • Training labels for hippocampal segmentation based on the EADC-ADNI harmonized hippocampal protocol, Frisoni, G.B., Jack, C.R., Duchesne, S., Teipel, S., Matsuda, H., Fellgiebel, A., Antelmi, L., Pievani, M., Redolfi, A., Wolf, D., Grothe, M.J., Ganzola, R., Nishikawa, M., Collins, D.L., Morency, F.C., Bocchetta, M., Boccardi, M., Alzheimer's and Dementia, 2015, 10.1016/j.jalz.2014.12.002
  • Ketogenic Medium Chain Triglycerides Increase Brain Energy Metabolism in Alzheimer's Disease, Cunnane, S.C., Fülöp, T., Bocti, C., Turcotte, É.E., Whittingstall, K., Duchesne, S., Lepage, M., Nugent, S., Fortier, M., Richard, M.A., Castellano, C.-A., Croteau, E., Journal of Alzheimer's Disease, 2018, 10.3233/JAD-180202
  • Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, , Springer, 2017, 10.1007/978-3-319-66179-7
  • Selection of the optimal intensity normalization region for FDG-PET studies of normal aging and Alzheimer’s disease, Duchesne, S., Cunnane, S.C., Dieumegarde, L., Castellano, C.-A., Potvin, O., Croteau, E., Nugent, S., Scientific Reports, 2020, 10.1038/s41598-020-65957-3
  • Association Between Genetic Variants In AD Risk Factors And Conversion From MCI And AD, , Alzheimer's Imaging Consortium Conference, 2017, 10.1016/j.jalz.2017.06.1316
  • Predicting clinical variable from MRI features: Application to MMSE in MCI, , International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2005), 2005, 10.1007/11566465_49
  • Delphi definition of the EADC-ADNI harmonized protocol for hippocampal segmentation on magnetic resonance, Frisoni, G.B., Jack, C.R., Duchesne, S., Duvernoy, H., Wolf, H., Watson, C., Wang, L., Tolomeo, D., Soininen, H., Robitaille, N., Redolfi, A., Pruessner, J.C., Pasqualetti, P., Malykhin, N., Killiany, R.J., Henneman, W., Gerritsen, L., Ganzola, R., Firbank, M., Detoledo-Morrell, L., Decarli, C., Corbetta, G., Bartzokis, G., Barnes, J., Apostolova, L.G., Bocchetta, M., Boccardi, M., Alzheimer's and Dementia, 2015, 10.1016/j.jalz.2014.02.009
  • A new MRI rating scale for progressive supranuclear palsy and multiple system atrophy: Validity and reliability, Leigh, P.N., Bensimon, G., Dormont, D., Ludolph, A.C., Delmaire, C., Defevbre, L., Deasy, N., Jarosz, J., Hauser, T.K., Kraft, E., Duchesne, S., Payan, C.A., Vérin, M., Rolland, Y., Journal of Neurology, Neurosurgery and Psychiatry, 2011, 10.1136/jnnp.2010.214890
  • Older adults with mild cognitive impairments show less driving errors after a multiple sessions simulator training program but do not exhibit long term retention, Hudon, C., Duchesne, S., Bherer, L., Laurendeau, D., Moszkowicz, T., Robitaille, M.G., Hudon, L., Simoneau, M., Teasdale, N., Frontiers in Human Neuroscience, 2016, 10.3389/fnhum.2016.00653
  • Voxel-based morphometry meta-analysis of gray and white matter finds significant areas of differences in bipolar patients from healthy controls, Duchesne, S., Ganzola, R., Bipolar Disorders, 2017, 10.1111/bdi.12488
  • Operationalization of Differences among Protocols for Manual Hippocampal Segmentation: Quantitative Data for EADC-ADNI Consensual Decisions on a Harmonized Protocol, Frisoni, Giovanni B., Jack, Clifford R., Duchesne, Simon, Watson, Craig, Soininen, Hilkka, Pruessner, Jens C., Pantel, Johannes, Lehericy, Stephane, Killiany, Ronald J., DeToledo-Morrell, Leyla, De Leon, Mony J., Csernansky, John G., Camicioli, Richard, Bartzokis, George, Redolfi, Alberto, Robitaille, Nicolas, Ganzola, Rossana, Bocchetta, Martina, Boccardi, Marina, Neurology, 2011

Contribution à l'enseignement aux cycles supérieurs

Étudiant(e)s dirigé(e)s*

Depuis 2009
  • Lyna Abrougui - Maîtrise avec mémoire - En cours
  • Sam Chandavong - Maîtrise avec mémoire - En cours
  • Raphaëlle Giguère - Maîtrise avec mémoire - En cours
  • Mahboubeh Motaghi - Doctorat - En cours
  • Parissa Fereydouni-Forouzandeh - Doctorat - En cours
  • Rémi Lamontagne Caron - Maîtrise avec mémoire - En cours
  • Daniel Gourdeau - Doctorat - En cours
  • Jean-François Morin - Maîtrise avec mémoire - 2013/09
  • Yuliya Bodryzlova - Maîtrise avec mémoire - 2015/09
  • Louis-Olivier Bouchard - Maîtrise avec mémoire - 2016/09
  • Rossana Ganzola - Doctorat - 2017/01
  • Victor Pattee-Gravel - Maîtrise avec mémoire - 2020/05
  • Camille Parent - Doctorat - 2022/09
  • Valérie Turcotte - Doctorat - 2023/01
  • Caroline Dallaire-Théroux - Doctorat - 2023/05
  • Seyedadel Moravveji - Doctorat - 2023/05
  • Eléonore Chamberland - Maîtrise avec mémoire - 2023/05

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*Les supervisions d’étudiant(e)s de 1er cycle en stage de recherche et de résident(e)s aux études médicales postdoctorales seront répertoriées ultérieurement.