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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

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 de recherche

  • Radiologie, médecine nucléaire et imagerie médicale
  • Neurodégénérescence
  • Déterminants biologiques et sociaux du vieillissement
  • Processus de vieillissement
  • Neurosciences computationnelles
  • Intelligence artificielle, n.c.a.

Projets de recherche en cours

  • Équipe Camelia: pour des soins et services innovants et bienveillants en hébergement de longue durée - Fonds de recherche du Québec - Société et culture - Soutien aux équipes de recherche, co-chercheur - 2025-04-01 au 2029-03-31
  • Neuroimaging : Image Acquisition, Quality Control, Analysis, and Dissemination - Instituts de recherche en santé du Canada - Subvention d'équipe : Consortium canadien en neurodégénérescence associée au vieillissement (CCNV) – phase III : équipes de recherche, Baycrest Academy for Research and Education, co-chercheur - 2024-04-01 au 2029-03-31
  • Consortium pour l’identification précoce de la maladie d’Alzheimer (CIMA-Q) : renforcer l’intersectorialité, le rayonnement et le potentiel de découverte. - Fonds de recherche du Québec - Santé - Plateforme de financements de la recherche intersectorielle sur le vieillissement, co-chercheur - 2024-04-01 au 2028-03-31
  • 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
  • Équipe FQRNT pour l'avancement des modèles computationels de la santé cérébrale - Fonds de recherche du Québec - Nature et technologies - Projet de recherche en équipe, chercheur principal - 2024-04-01 au 2027-03-31
  • 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
  • Le rôle de l'informatique quantique pour la résolution des problèmes de haute dimensionnalité dans les modèles computationnels cérébraux - Ministère des Relations internationales et de la Francophonie - Appel à projets Québec - Pays basque 2024-2025, chercheur principal - 2024-09-24 au 2025-09-30
  • 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

Financements des 2 dernières années

  • Deep Learning segmentation of cellular tumor from multishell diffusion MRI - Radiological Society of North America - Research Seed Grant, co-chercheur - 2024-07-01 au 2025-06-30
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

  • 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
  • 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., Bellec, P., Gauthier, S., 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
  • 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
  • Predicting Episodes of Hypovigilance in Intensive Care Units Using Routine Physiological Parameters and Artificial Intelligence : a Derivation study (Preprint), Patrick M. Archambault, Simon Duchesne, Philippe Després, Alexandre Marois, Tanya S. Paul, William Witteman, Monia Noël-Hunter, Victor Niaussat, Raphaëlle Giguère, JMIR AI, 2024, 10.2196/60885
  • Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, , Springer, 2017, 10.1007/978-3-319-66179-7
  • A new MRI rating scale for progressive supranuclear palsy and multiple system atrophy: Validity and reliability, Leigh, P.N., Bensimon, G., Ludolph, A.C., Dormont, D., 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
  • 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
  • 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
  • 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
  • Label fusion strategy selection, Duchesne, S., Robitaille, N., International Journal of Biomedical Imaging, 2012, 10.1155/2012/431095
  • 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
  • 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
  • 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
  • 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
  • Guest editorial for the IJCARS special issue on MICCAI 2017, Duchesne, S., Collins, L.D., Jannin, P., Franz, A., Maier-Hein, L., Descoteaux, M., International Journal of Computer Assisted Radiology and Surgery, 2018, 10.1007/s11548-018-1847-y
  • 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
  • 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
  • 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
  • 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
  • FreeSurfer subcortical normative data, Duchesne, S., Dieumegarde, L., Mouiha, A., Potvin, O., Data in Brief, 2016, 10.1016/j.dib.2016.10.001
  • 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
  • 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
  • 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
  • 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
  • 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., Jack, C.R., Duchesne, S., Robitaille, N., Pasqualetti, P., Wolf, D., Ferrari, C., Preboske, G., Apostolova, L.G., Ganzola, R., Boccardi, M., Bocchetta, M., Alzheimer's and Dementia, 2015, 10.1016/j.jalz.2013.12.019
  • 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
  • Comprehensive Morphometric Cortical/Subcortical Normative Data: Freesurfer Atlases Comparison, , AAIC - Alzheimer's Imaging Consortium Conference, 2017, 10.1016/j.jalz.2017.06.1057
  • 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
  • White Matter Damage in the Semantic Variant of Primary Progressive Aphasia, Duchesne, S., Laforce, R., Wilson, M.A., Bouchard, L.-O., Canadian Journal of Neurological Sciences, 2019, 10.1017/cjn.2019.37
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Proposing a manuscript peer-review checklist, Jannin, Pierre, Duchesne, Simon, Neuroimage, 2008, 10.1016/j.neuroimage.2007.09.065
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Association Between Cerebellar Volumes and Cognitive Functioning, , Alzheimer’s Disease and Associated Disorders, 2019, 10.1097/WAD.0000000000000327
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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., Lawlor, B., Kramberger, M.G., Grosu, G., Grimmer, T., Engelborghs, S., Emek-Savaş, D.D., Bougea, A., 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
  • 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
  • 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
  • Steps to standardization and validation of hippocampal volumetry as a biomarker in clinical trials and diagnostic criterion for Alzheimer's disease, Foster, Norman L., Weiner, Michael, Thompson, Paul M., Suhy, Joyce, 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., Barkhof, Frederik, Jack, Clifford R., Jr., Alzheimers & Dementia, 2011, 10.1016/j.jalz.2011.04.007
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • On the classification of temporal lobe epilepsy using MR image appearance, Collins, D.L., Bernasconi, A., Bernasconi, N., Duchesne, S., Proceedings - International Conference on Pattern Recognition, 2002
  • 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
  • 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
  • MR-based neurological disease classification methodology: Application to lateralization of seizure focus in temporal lobe epilepsy, Collins, DL, Bernasconi, A, Bernasconi, N, Duchesne, S, Neuroimage, 2006, 10.1016/j.neuroimage.2005.07.052
  • 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., Pievani, M., Bocchetta, M., Ganzola, R., Boccardi, M., Journal of Alzheimer's Disease, 2011, 10.3233/JAD-2011-0004
  • 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
  • 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
  • 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
  • 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
  • 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
  • Identifying Episodes of Hypovigilance in Intensive Care Units Using Routine Physiological Parameters and Artificial Intelligence: a Derivation Study (Preprint), Patrick M. Archambault, Simon Duchesne, Philippe Després, Alexandre Marois, Tanya S. Paul, William Witteman, Monia Noël-Hunter, Victor Niaussat, Raphaëlle Giguère, 2024, 10.2196/preprints.60885
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Appearance-based segmentation of medial temporal lobe structures, Collins, DL, Pruessner, JC, Duchesne, S, Neuroimage, 2002, 10.1006/nimg.2002.1188
  • Normative data for subcortical regional volumes over the lifetime of the adult human brain, Alzheimer's Dis Neuroimaging Initi, Duchesne, Simon, Dieumegarde, Louis, Mouiha, Abderazzak, Potvin, Olivier, Neuroimage, 2016, 10.1016/j.neuroimage.2016.05.016
  • 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
  • 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
  • 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
  • Validation of an Magnetic Resonance Imaging Acquisition and Review Protocol for Alzheimer's Disease and Related Disorders, Duchesne, S., Brisson, M., Bouchard, L.-O., Potvin, O., Asselin, A., Canadian Association of Radiologists Journal, 2019, 10.1016/j.carj.2018.10.008
  • Recommendations on Imaging in the Context of Alzheimer’s Disease-Modifying Therapies from the CCNA Imaging Workgroup, Eric E. Smith, Jean-Paul Soucy, Pedro Rosa-Neto, Manish Joshi, Mahsa Dadar, Howard Chertkow, Sandra Black, Laura Barlow, Robert Bartha, D. Louis Collins, Simon Duchesne, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, 2024, 10.1017/cjn.2024.338
  • 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
  • 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
  • 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
  • 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, Verret, Louis, Bergeron, David, Cortex, 2016, 10.1016/j.cortex.2015.11.022
  • 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
  • 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., Hock, C., Jagust, W., 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., Wolf, D., Barkhof, F., 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., Bocchetta, M., Jack, C.R., Frisoni, G.B., Alzheimer's and Dementia, 2015, 10.1016/j.jalz.2014.05.1756
  • 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
  • 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
  • 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 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
  • Manual segmentation qualification platform for the EADC-ADNI harmonized protocol for hippocampal segmentation project, Frisoni, G.B., Jack, C.R., Boccardi, M., Wolf, D., 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
  • 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
  • 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
  • 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
  • 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
  • FDG-PET Normative Data in Cognitively Healthy Aging, , AAIC - Alzheimer’s Association International Conference, 2019, 10.1016/j.jalz.2019.06.4227
  • 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
  • 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
  • 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
  • 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
  • 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
  • Patch-wise brain age longitudinal reliability, Duchesne, S., Potvin, O., Beheshti, I., Human Brain Mapping, 2021, 10.1002/hbm.25253
  • 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
  • The Temporal Relationships between White Matter Hyperintensities, Neurodegeneration, Amyloid β, and Cognition, D. Louis Collins, Simon Duchesne, Richard Camicioli, Mahsa Dadar, 2020, 10.1101/2020.05.27.119586
  • 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
  • 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
  • Dynamic Individual Prediction of Conversion from Mild Cognitive Impairment to Probable Alzheimer’s Disease using Joint Modeling, Simon Duchesne, Olivier Potvin, Abderazzak Mouiha, 2024, 10.1101/2024.07.15.24310224
  • 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
  • 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
  • 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
  • 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., Smith, E.E., Fogarty, J., Camicioli, R., Hsiung, G.-Y.R., Andrew, M., Tierney, M.C., Rockwood, K., McGilton, K., Masellis, M., Gauthier, S., Hogan, D.B., Feldman, H.H., Black, S.E., Whitehead, V., Borrie, M., Chertkow, H., Canadian Journal of Neurological Sciences, 2019, 10.1017/cjn.2019.27
  • The Midbrain Is The Optimal Intensity Normalization Region For FEDG-PET Studies Of Normal Aging, , AAIC - Alzheimer's Association International Conference, 2018
  • 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
  • General Overview And Early Neuroanatomical Findings In SCD, , Alzheimer's Imaging Consortium Conference, 2017, 10.1016/j.jalz.2017.06.2032
  • 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
  • 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
  • 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
  • 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
  • Measurement Variability following MRI system upgrade, , Frontiers in Neurology, 2019, 10.3389/fneur.2019.00726
  • 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
  • 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
  • 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
  • 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

Contribution à l'enseignement aux cycles supérieurs

Étudiant(e)s dirigé(e)s*

Depuis 2020/06
  • Daniel Gourdeau - Doctorat - En cours
  • Mahsa Dadar - Post-doctorat - En cours
  • Lyna Abrougui - Maîtrise avec mémoire - En cours
  • Rémi Lamontagne Caron - Maîtrise avec mémoire - En cours
  • Halima Sadia - Doctorat - En cours
  • Mahboubeh Motaghi - Doctorat - En cours
  • David Predovan - Post-doctorat - En cours
  • Sam Chandavong - Maîtrise avec mémoire - En cours
  • Parissa Fereydouni-Forouzandeh - Doctorat - En cours
  • Camille Parent - Doctorat - 2022/09
  • Valérie Turcotte - Doctorat - 2023/01
  • Eléonore Chamberland - Maîtrise avec mémoire - 2023/05
  • Caroline Dallaire-Théroux - Doctorat - 2023/05
  • Raphaëlle Giguère - Maîtrise avec mémoire - 2024/09

Encadrement d'étudiant(e)s

Direction de recherche dans les domaines suivants :

  • Neurobiologie — Neurosciences
  • Sciences cliniques et biomédicales

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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.

Vice-décanat à la recherche et à l'innovation

Pavillon Ferdinand-Vandry
Université Laval
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Renseignements - Secrétariat
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Jacques Simard
Vice-doyen à la recherche et à l'innovation
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