학술논문
A large-scale ENIGMA multisite replication study of brain age in depression
Document Type
Article
Author
Han, Laura K.M.; Dinga, Richard; Leenings, Ramona; Hahn, Tim; Cole, James H.; Aftanas, Lyubomir I.; Amod, Alyssa R.; Besteher, Bianca; Colle, Romain; Corruble, Emmanuelle; Couvy-Duchesne, Baptiste; Danilenko, Konstantin V.; Fuentes-Claramonte, Paola; Gonul, Ali Saffet; Gotlib, Ian H.; Goya-Maldonado, Roberto; Groenewold, Nynke A.; Hamilton, Paul; Ichikawa, Naho; Ipser, Jonathan C.; Itai, Eri; Koopowitz, Sheri-Michelle; Li, Meng; Okada, Go; Okamoto, Yasumasa; Churikova, Olga S.; Osipov, Evgeny A.; Penninx, Brenda W.J.H.; Pomarol-Clotet, Edith; Rodríguez-Cano, Elena; Sacchet, Matthew D.; Shinzato, Hotaka; Sim, Kang; Stein, Dan J.; Uyar-Demir, Aslihan; Veltman, Dick J.; Schmaal, Lianne
Source
Neuroimage: Reports; December 2022, Vol. 2 Issue: 4
Subject
Language
ISSN
26669560
Abstract
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.