Predicting Antidepressant Treatment Response From Cortical Structure on MRI: A Mega-Analysis From the ENIGMA-MDD Working Group

MG Poirot; DE Boucherie; MWA Caan; R Goya-Maldonado; V Belov; E Corruble; R Colle; B Couvy-Duchesne; T Kamishikiryo; H Shinzato; N Ichikawa; G Okada; Y Okamoto; BJ Harrison; CG Davey; AJ Jamieson; KR Cullen; Z Başgöze; B Klimes-Dougan; BA Mueller; F Benedetti; S Poletti; EMT Melloni; CRK Ching; LL Zeng; J Radua; LKM Han; N Jahanshad; SI Thomopoulos; E Pozzi; DJ Veltman; L Schmaal; PM Thompson; HG Ruhe; L Reneman; A Schrantee

Journal article

Predicting Antidepressant Treatment Response From Cortical Structure on MRI: A Mega-Analysis From the ENIGMA-MDD Working Group

MG Poirot, DE Boucherie, MWA Caan, R Goya-Maldonado, V Belov, E Corruble, R Colle, B Couvy-Duchesne, T Kamishikiryo, H Shinzato, N Ichikawa, G Okada, Y Okamoto, BJ Harrison, CG Davey, AJ Jamieson, KR Cullen, Z Başgöze, B Klimes-Dougan, BA Mueller Show all

Human Brain Mapping | WILEY | Published : 2025

DOI: 10.1002/hbm.70053

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Abstract

Accurately predicting individual antidepressant treatment response could expedite the lengthy trial-and-error process of finding an effective treatment for major depressive disorder (MDD). We tested and compared machine learning-based methods that predict individual-level pharmacotherapeutic treatment response using cortical morphometry from multisite longitudinal cohorts. We conducted an international analysis of pooled data from six sites of the ENIGMA-MDD consortium (n = 262 MDD patients; age = 36.5 ± 15.3 years; 154 (59%) female; mean response rate = 57%). Treatment response was defined as a ≥ 50% reduction in symptom severity score after 4–12 weeks post-initiation of antidepressant trea..

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University of Melbourne Researchers

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Awarded by University of Minnesota

Funding Acknowledgements

This work was supported by Ministry of health, Italy, RF-2018-12367249 Ministry of University and Scientific Research, Italy, A_201779W93T. Japan Agency for Medical Research and Development, JP18dm0307002. Biotechnology Research Center, P41 RR008079 Eurostars, 113351. Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Rubicon 452020227, Veni 016.196.153. National Institute of Mental Health, K23MH090421, MH117601, MH129742, MH129832, R01 MH116147, R01 MH129742-01, R01 MH131806, R01 MH134004. National Health and Medical Research Council, CJ Martin Fellowship 1161356, Investigator grant 1024570, Investigator grant 1064643, Investigator grant 2017962. Bundesministerium fur Bildung und Forschung, 01 ZX 1507. National Institute of Aging, R56 AG058854.