Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/126112
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Type: Journal article
Title: Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group
Author: Han, L.
Dinga, R.
Hahn, T.
Ching, C.
Eyler, L.
Aftanas, L.
Aghajani, M.
Aleman, A.
Baune, B.
Berger, K.
Brak, I.
Filho, G.
Carballedo, A.
Connolly, C.
Couvy-Duchesne, B.
Cullen, K.
Dannlowski, U.
Davey, C.
Dima, D.
Duran, F.
et al.
Citation: Molecular Psychiatry, 2020; OnlinePubl:1-16
Publisher: Springer Nature
Issue Date: 2020
ISSN: 1359-4184
1476-5578
Statement of
Responsibility: 
Laura K. M. Han, Richard Dinga, Tim Hahn, Christopher R. K. Ching, Lisa T. Eyler ... Bernhard Baune ... et al.
Abstract: Major depressive disorder (MDD) is associated with an increased risk of brain atrophy, aging-related diseases, and mortality. We examined potential advanced brain aging in adult MDD patients, and whether this process is associated with clinical characteristics in a large multicenter international dataset. We performed a mega-analysis by pooling brain measures derived from T1-weighted MRI scans from 19 samples worldwide. Healthy brain aging was estimated by predicting chronological age (18-75 years) from 7 subcortical volumes, 34 cortical thickness and 34 surface area, lateral ventricles and total intracranial volume measures separately in 952 male and 1236 female controls from the ENIGMA MDD working group. The learned model coefficients were applied to 927 male controls and 986 depressed males, and 1199 female controls and 1689 depressed females to obtain independent unbiased brain-based age predictions. The difference between predicted "brain age" and chronological age was calculated to indicate brain-predicted age difference (brain-PAD). On average, MDD patients showed a higher brain-PAD of +1.08 (SE 0.22) years (Cohen's d = 0.14, 95% CI: 0.08-0.20) compared with controls. However, this difference did not seem to be driven by specific clinical characteristics (recurrent status, remission status, antidepressant medication use, age of onset, or symptom severity). This highly powered collaborative effort showed subtle patterns of age-related structural brain abnormalities in MDD. Substantial within-group variance and overlap between groups were observed. Longitudinal studies of MDD and somatic health outcomes are needed to further assess the clinical value of these brain-PAD estimates.
Keywords: Depression; neuroscience
Description: Published: 18 May 2020
Rights: © The Author(s) 2020. This article is published with open access. s This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons. org/licenses/by/4.0/.
RMID: 1000021460
DOI: 10.1038/s41380-020-0754-0
Grant ID: http://purl.org/au-research/grants/nhmrc/1161356
http://purl.org/au-research/grants/nhmrc/1064643
http://purl.org/au-research/grants/nhmrc/1024570
http://purl.org/au-research/grants/nhmrc/1066177
http://purl.org/au-research/grants/nhmrc/1037196
http://purl.org/au-research/grants/nhmrc/1063960
http://purl.org/au-research/grants/nhmrc/1140764
http://purl.org/au-research/grants/nhmrc/1161356
http://purl.org/au-research/grants/nhmrc/1103623
http://purl.org/au-research/grants/nhmrc/496682
http://purl.org/au-research/grants/nhmrc/1009064
http://purl.org/au-research/grants/nhmrc/566529
http://purl.org/au-research/grants/nhmrc/511921
http://purl.org/au-research/grants/nhmrc/264611
http://purl.org/au-research/grants/nhmrc/402864
Appears in Collections:Psychiatry publications

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