Automated classification of depression from structural brain measures across two independent community‐based cohorts

Stolicyn, AleksHarris, Mathew A.Shen, XueyiBarbu, Miruna C.Adams, Mark J.Hawkins, Emma L.de Nooij, LauraYeung, Hon WahMurray, Alison DLawrie, Stephen M.Steele, J. DouglasMcIntosh, Andrew M.Whalley, Heather C.2020-09-072020-09-072020-10-01Stolicyn, A, Harris, M A, Shen, X, Barbu, M C, Adams, M J, Hawkins, E L, de Nooij, L, Yeung, H W, Murray, A D, Lawrie, S M, Steele, J D, McIntosh, A M & Whalley, H C 2020, 'Automated classification of depression from structural brain measures across two independent community‐based cohorts', Human Brain Mapping, vol. 41, no. 14, pp. 3922-3937. https://doi.org/10.1002/hbm.250951065-9471ORCID: /0000-0003-4915-4847/work/80106716https://hdl.handle.net/2164/15094ACKNOWLEDGEMENTS: This study was supported and funded by the Wellcome Trust Strategic Award ‘Stratifying Resilience and Depression Longitudinally’ (STRADL) (Reference 104036/Z/14/Z), and the Medical Research Council Mental Health Pathfinder Award ‘Leveraging routinely collected and linked research data to study the causes and consequences of common mental disorders’ (Reference MRC-MC_PC_17209). MAH is supported by research funding from the Dr Mortimer and Theresa Sackler Foundation. The research was conducted using the UK Biobank resource, with application number 4844. Structural brain imaging data from the UK Biobank was processed at the University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology (CCACE) http://www.ccace.ed.ac.uk/), which is a part of the crosscouncil Lifelong Health and Wellbeing Initiative (MR/K026992/1). CCACE received funding from Biotechnology and Biological Sciences Research Council (BBSRC), Medical Research Council (MRC), and was also supported by Age UK as part of The Disconnected Mind project. This work has made use of the resources provided by the Edinburgh Compute and Data Facility (ECDF) (http://www.ecdf.ed.ac.uk/)161887316engbrain structureclassical twindepressiondiffusion MRImachine learningmajor depressive disorderstructural MRIclassificationR MedicineClinical NeurologyNeurologyRadiological and Ultrasound TechnologyRadiology Nuclear Medicine and imagingAnatomyMedical Research Council (MRC)MRC-MC_PC_17209Wellcome Trust104036/Z/14/ZSupplementary DataRAutomated classification of depression from structural brain measures across two independent community‐based cohortsJournal article10.1002/hbm.25095http://www.scopus.com/inward/record.url?scp=85087179913&partnerID=8YFLogxK