A large-scale ENIGMA multisite replication study of brain age in depression

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dc.authorscopusid56573181400
dc.authorscopusid57204581268
dc.authorscopusid57201271676
dc.authorscopusid7201384958
dc.authorscopusid7403376270
dc.authorscopusid7003280598
dc.authorscopusid57825777000
dc.contributor.authorHan, L.K.M.
dc.contributor.authorDinga, R.
dc.contributor.authorLeenings, R.
dc.contributor.authorHahn, T.
dc.contributor.authorCole, J.H.
dc.contributor.authorAftanas, L.I.
dc.contributor.authorAmod, A.R.
dc.date.accessioned2024-08-25T18:51:50Z
dc.date.available2024-08-25T18:51:50Z
dc.date.issued2022
dc.departmentEge Üniversitesien_US
dc.description.abstractBackground: Several studies have evaluated whether depressed persons have older appearing brains than their nondepressed peers. However, the estimated neuroimaging-derived “brain age gap” has varied from study to study, likely driven by differences in training and testing sample (size), age range, and used modality/features. To validate our previously developed ENIGMA brain age model and the identified brain age gap, we aim to replicate the presence and effect size estimate previously found in the largest study in depression to date (N = 2126 controls & N = 2675 cases; +1.08 years [SE 0.22], Cohen's d = 0.14, 95% CI: 0.08–0.20), in independent cohorts that were not part of the original study. Methods: A previously trained brain age model (www.photon-ai.com/enigma_brainage) based on 77 FreeSurfer brain regions of interest was used to obtain unbiased brain age predictions in 751 controls and 766 persons with depression (18–75 years) from 13 new cohorts collected from 20 different scanners. Meta-regressions were used to examine potential moderating effects of basic cohort characteristics (e.g., clinical and scan technical) on the brain age gap. Results: Our ENIGMA MDD brain age model generalized reasonably well to controls from the new cohorts (predicted age vs. age: r = 0.73, R2 = 0.47, MAE = 7.50 years), although the performance varied from cohort to cohort. In these new cohorts, on average, depressed persons showed a significantly higher brain age gap of +1 year (SE 0.35) (Cohen's d = 0.15, 95% CI: 0.05–0.25) compared with controls, highly similar to our previous finding. Significant moderating effects of FreeSurfer version 6.0 (d = 0.41, p = 0.007) and Philips scanner vendor (d = 0.50, p < 0.0001) were found, leading to more positive effect size estimates. Conclusions: This study further validates our previously developed ENIGMA brain age algorithm. Importantly, we replicated the brain age gap in depression with a comparable effect size. Thus, two large-scale independent mega-analyses across in total 32 cohorts and >3400 patients and >2800 controls worldwide show reliable but subtle effects of brain aging in adult depression. Future studies are needed to identify factors that may further explain the brain age gap variance between cohorts. © 2022en_US
dc.identifier.doi10.1016/j.ynirp.2022.100149
dc.identifier.issn2666-9560
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85149599656en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1016/j.ynirp.2022.100149
dc.identifier.urihttps://hdl.handle.net/11454/102710
dc.identifier.volume2en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Inc.en_US
dc.relation.ispartofNeuroimage: Reportsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240825_Gen_US
dc.subjectBiological agingen_US
dc.subjectBrain ageen_US
dc.subjectDepressionen_US
dc.subjectENIGMA consortiumen_US
dc.subjectReplication studyen_US
dc.subjectadulten_US
dc.subjectageen_US
dc.subjectageden_US
dc.subjectArticleen_US
dc.subjectBeck Depression Inventoryen_US
dc.subjectbrainen_US
dc.subjectbrain ageen_US
dc.subjectcase control studyen_US
dc.subjectcohort analysisen_US
dc.subjectcontrolled studyen_US
dc.subjectdepressionen_US
dc.subjectdisease severityen_US
dc.subjecteffect sizeen_US
dc.subjectfemaleen_US
dc.subjectHamilton Depression Rating Scaleen_US
dc.subjecthumanen_US
dc.subjectmajor clinical studyen_US
dc.subjectmaleen_US
dc.subjectneuroimagingen_US
dc.subjectnuclear magnetic resonance imagingen_US
dc.subjectpredictionen_US
dc.subjectreplication studyen_US
dc.titleA large-scale ENIGMA multisite replication study of brain age in depressionen_US
dc.typeArticleen_US

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