Neuroanatomical dimensions in medication-free individuals with major depressive disorder and treatment response to SSRI antidepressant medications or placebo
作者:Cynthia H.Y. Fu, Mathilde Antoniades, Güray Erus, José García, Yong Fan, Danilo Arnone, Stephen R. Arnott, Taolin Chen, Ki Sueng Choi, Cherise Chin Fatt, Benício N. Frey, Vibe G. Frøkjær, Melanie Ganz, Beata R. Godlewska, Stefanie Hassel, Keith Ho, Andrew M. McIntosh, Kun Qin, Susan Rotzinger, Matthew D. Sacchet, Jonathan Savitz, Haochang Shou, Ashish Singh, Aleks Stolicyn, Irina A. Strigo, Stephen C. Strother, Duygu Tosun, Teresa A. Victor, Dongtao Wei, Toby Wise, Roland Zahn, Ian Anderson, W. Edward Craighead, J.F.W. Deakin, Boadie W. Dunlop, Rebecca Elliott, Qiyong Gong, Ian H. Gotlib, Catherine J. Harmer, Sidney H. Kennedy, Gitte M. Knudsen, Helen S. Mayberg, Martin P. Paulus, Jiang Qiu, Madhukar H. Trivedi, Heather C. Whalley, Chao‐Gan Yan, Allan H. Young, Christos Davatzikos · 发表于:Nature Mental Health · 年份:2024 · DOI:10.1038/s44220-023-00187-w · 被引用次数:44 · 研究领域:Treatment of Major Depression、Functional Brain Connectivity Studies、Intensive Care Unit Cognitive Disorders
Abstract Major depressive disorder (MDD) is a heterogeneous clinical syndrome with widespread subtle neuroanatomical correlates. Our objective was to identify the neuroanatomical dimensions that characterize MDD and predict treatment response to selective serotonin reuptake inhibitor (SSRI) antidepressants or placebo. In the COORDINATE-MDD consortium, raw MRI data were shared from international samples ( N = 1,384) of medication-free individuals with first-episode and recurrent MDD ( N = 685) in a current depressive episode of at least moderate severity, but not treatment-resistant depression, as well as healthy controls ( N = 699). Prospective longitudinal data on treatment response were available for a subset of MDD individuals ( N = 359). Treatments were either SSRI antidepressant medication (escitalopram, citalopram, sertraline) or placebo. Multi-center MRI data were harmonized, and HYDRA, a semi-supervised machine-learning clustering algorithm, was utilized to identify patterns in regional brain volumes that are associated with disease. MDD was optimally characterized by two neuroanatomical dimensions that exhibited distinct treatment responses to placebo and SSRI antidepressant medications. Dimension 1 was characterized by preserved gray and white matter ( N = 290 MDD), whereas Dimension 2 was characterized by widespread subtle reductions in gray and white matter ( N = 395 MDD) relative to healthy controls. Although there were no significant differences in age of onset,...