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Structural neuroimaging measures and lifetime depression across levels of phenotyping in UK biobank

Authors :
Mathew A. Harris
Simon R. Cox
Laura de Nooij
Miruna C. Barbu
Mark J. Adams
Xueyi Shen
Ian J. Deary
Stephen M. Lawrie
Andrew M. McIntosh
Heather C. Whalley
Source :
Harris, M A, Cox, S R, De Nooij, L, Barbu, M C, Adams, M J, Shen, X, Deary, I J, Lawrie, S M, Mcintosh, A M & Whalley, H C 2022, ' Structural neuroimaging measures and lifetime depression across levels of phenotyping in UK biobank ', Translational Psychiatry, vol. 12, no. 1 . https://doi.org/10.1038/s41398-022-01926-w
Publication Year :
2022
Publisher :
Springer Science and Business Media LLC, 2022.

Abstract

Depression is assessed in various ways in research, with large population studies often relying on minimal phenotyping. Genetic results suggest clinical diagnoses and self-report measures of depression show some core similarities, but also important differences. It is not yet clear how neuroimaging associations depend on levels of phenotyping. We studied 39,300 UK Biobank imaging participants (20,701 female; aged 44.6 to 82.3 years, M = 64.1, SD = 7.5) with structural neuroimaging and lifetime depression data. Past depression phenotypes included a single-item self-report measure, an intermediate measure of ‘probable’ lifetime depression, derived from multiple questionnaire items relevant to a history of depression, and a retrospective clinical diagnosis according to DSM-IV criteria. We tested (i) associations between brain structural measures and each depression phenotype, and (ii) effects of phenotype on these associations. Depression-brain structure associations were small (β

Details

ISSN :
21583188
Volume :
12
Database :
OpenAIRE
Journal :
Translational Psychiatry
Accession number :
edsair.doi.dedup.....ced8ec44797ddf32417e5ccdeb09755d
Full Text :
https://doi.org/10.1038/s41398-022-01926-w