Population heterogeneity in clinical cohorts affects the predictive accuracy of brain imaging.
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| Title: | Population heterogeneity in clinical cohorts affects the predictive accuracy of brain imaging. |
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| Authors: | Benkarim O; McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), Faculty of Medicine, McGill University, Montreal, Canada., Paquola C; McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), Faculty of Medicine, McGill University, Montreal, Canada.; Institute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Jülich, Germany., Park BY; McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), Faculty of Medicine, McGill University, Montreal, Canada.; Department of Data Science, Inha University, Incheon, South Korea.; Center for Neuroscience Imaging Research, Institute for Basic Science, Sungkyunkwan University, Suwon, South Korea., Kebets V; McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), Faculty of Medicine, McGill University, Montreal, Canada., Hong SJ; Center for Neuroscience Imaging Research, Institute for Basic Science, Sungkyunkwan University, Suwon, South Korea.; Center for the Developing Brain, Child Mind Institute, New York, New York, United States of America.; Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea., Vos de Wael R; McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), Faculty of Medicine, McGill University, Montreal, Canada., Zhang S; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore.; Centre for Sleep and Cognition (CSC) & Centre for Translational Magnetic Resonance Research (TMR), National University of Singapore, Singapore, Singapore.; N.1 Institute for Health & Institute for Digital Medicine (WisDM), National University of Singapore, Singapore, Singapore., Yeo BTT; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore.; Centre for Sleep and Cognition (CSC) & Centre for Translational Magnetic Resonance Research (TMR), National University of Singapore, Singapore, Singapore.; N.1 Institute for Health & Institute for Digital Medicine (WisDM), National University of Singapore, Singapore, Singapore., Eickenberg M; Flatiron Institute, New York, New York, United States of America., Ge T; Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America., Poline JB; McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), Faculty of Medicine, McGill University, Montreal, Canada., Bernhardt BC; McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), Faculty of Medicine, McGill University, Montreal, Canada., Bzdok D; McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), Faculty of Medicine, McGill University, Montreal, Canada.; Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada.; School of Computer Science, McGill University, Montreal, Canada.; Mila-Quebec Artificial Intelligence Institute, Montreal, Canada. |
| Source: | PLoS biology [PLoS Biol] 2022 Apr 29; Vol. 20 (4), pp. e3001627. Date of Electronic Publication: 2022 Apr 29 (Print Publication: 2022). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101183755 Publication Model: eCollection Cited Medium: Internet ISSN: 1545-7885 (Electronic) Linking ISSN: 15449173 NLM ISO Abbreviation: PLoS Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1545-7885 |
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| DOI: | 10.1371/journal.pbio.3001627 |
