Deep neural networks learn general and clinically relevant representations of the ageing brain
Deep neural networks learn general and clinically relevant representations of the ageing brain
Abstract The discrepancy between chronological age and the apparent age of the brain based on neuroimaging data — the brain age delta — has emerged as a reliable marker of brain health. With an increasing wealth of data, approaches to tackle heterogeneity in data acquisition are vital. To this end, we compiled raw structural magnetic resonance images into one of the largest and most diverse datasets assembled (n=53542), and trained convolutional neural networks (CNNs) to predict age. We achieved state-of-the-art performance on unseen data from unknown scanners (n=2553), and showed that higher brain age delta is associated with diabetes, alcohol intake and smoking. Using transfer learning, the intermediate representations learned by our model complemented and partly outperformed brain age delta in predicting common brain disorders. Our work shows we can achieve generalizable and biologically plausible brain age predictions using CNNs trained on heterogeneous datasets, and transfer them to clinical use cases.
S?rensen ?ystein、Leonardsen Esten H.、de Lange Ann-Marie、Selb?k Geir、Wolfers Thomas、Vidal-Pi?eiro Didac、Roe James M.、Wang Yunpeng、Westlye Lars T.、Smith Stephen M.、Harbo Hanne F.、H?gest?l Einar A.、Espeseth Thomas、Celius Elisabeth Gulowsen、Marquand Andre F.、Peng Han、Kaufmann Tobias、Andreassen Ole A.、Agartz Ingrid
Department of Psychology, University of OsloDepartment of Psychology, University of Oslo||Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of OsloDepartment of Psychology, University of Oslo||LREN, Centre for Research in Neurosciences-Department of Clinical Neurosciences, CHUV and University of Lausanne||Department of Psychiatry, University of OxfordNorwegian National Advisory Unit on Aging and Health, Vestfold Hospital Trust||Department of Geriatric Medicine, Oslo University Hospital, OsloDepartment of Psychology, University of Oslo||Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of OsloDepartment of Psychology, University of OsloDepartment of Psychology, University of OsloDepartment of Psychology, University of OsloDepartment of Psychology, University of Oslo||Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of Oslo||KG Jebsen Center for Neurodevelopmental Disorders, University of OsloWellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of OxfordDepartment of Neurology, Oslo University Hospital||Institute of Clinical Medicine, University of OsloDepartment of Psychology, University of Oslo||Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of Oslo||Department of Neurology, Oslo University HospitalDepartment of Psychology, University of Oslo||Department of Psychology, Bj?rknes University CollegeDepartment of Neurology, Oslo University Hospital||Institute of Clinical Medicine, University of OsloDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical CentreWellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of OxfordNorwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of Oslo||Department of Psychiatry and Psychotherapy, T¨1bingen Center for Mental Health, University of T¨1bingenNorwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of OsloNorwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of Oslo||Department of Psychiatric Research, Diakonhjemmet Hospital||Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm County Council
神经病学、精神病学医学研究方法基础医学
S?rensen ?ystein,Leonardsen Esten H.,de Lange Ann-Marie,Selb?k Geir,Wolfers Thomas,Vidal-Pi?eiro Didac,Roe James M.,Wang Yunpeng,Westlye Lars T.,Smith Stephen M.,Harbo Hanne F.,H?gest?l Einar A.,Espeseth Thomas,Celius Elisabeth Gulowsen,Marquand Andre F.,Peng Han,Kaufmann Tobias,Andreassen Ole A.,Agartz Ingrid.Deep neural networks learn general and clinically relevant representations of the ageing brain[EB/OL].(2025-03-28)[2025-05-06].https://www.medrxiv.org/content/10.1101/2021.10.29.21265645.点此复制
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