Neuroanatomical dimensions in medication-free individuals with major depressive disorder and treatment response to SSRI antidepressant medications or placebo

Author:

Fu Cynthia H. Y.ORCID,Antoniades MathildeORCID,Erus Guray,Garcia Jose A.,Fan Yong,Arnone Danilo,Arnott Stephen R.ORCID,Chen Taolin,Choi Ki SuengORCID,Fatt Cherise Chin,Frey Benicio N.ORCID,Frokjaer Vibe G.,Ganz MelanieORCID,Godlewska Beata R.ORCID,Hassel StefanieORCID,Ho Keith,McIntosh Andrew M.ORCID,Qin Kun,Rotzinger Susan,Sacchet Matthew D.,Savitz JonathanORCID,Shou Haochang,Singh AshishORCID,Stolicyn AleksORCID,Strigo Irina,Strother Stephen C.,Tosun DuyguORCID,Victor Teresa A.,Wei Dongtao,Wise Toby,Zahn RolandORCID,Anderson Ian M.,Craighead W. EdwardORCID,Deakin J. F. William,Dunlop Boadie W.ORCID,Elliott Rebecca,Gong QiyongORCID,Gotlib Ian H.,Harmer Catherine J.ORCID,Kennedy Sidney H.ORCID,Knudsen Gitte M.ORCID,Mayberg Helen S.ORCID,Paulus Martin P.ORCID,Qiu Jiang,Trivedi Madhukar H.ORCID,Whalley Heather C.,Yan Chao-GanORCID,Young Allan H.,Davatzikos ChristosORCID

Abstract

AbstractMajor 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, years of illness, number of episodes, or duration of current episode between dimensions, there was a significant interaction effect between dimensions and treatment response. Dimension 1 showed a significant improvement in depressive symptoms following treatment with SSRI medication (51.1%) but limited changes following placebo (28.6%). By contrast, Dimension 2 showed comparable improvements to either SSRI (46.9%) or placebo (42.2%) (β = –18.3, 95% CI (–34.3 to –2.3), P = 0.03). Findings from this case-control study indicate that neuroimaging-based markers can help identify the disease-based dimensions that constitute MDD and predict treatment response.

Funder

RCUK | Medical Research Council

U.S. Department of Health & Human Services | NIH | National Institute of Mental Health

U.S. Department of Health & Human Services | NIH | National Institute on Aging

U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering

Gouvernement du Canada | Canadian Institutes of Health Research

Ontario Brain Institute

Lundbeckfonden

Wellcome Trust

Canadian Institute for Advanced Research

Lister Institute of Preventive Medicine

National Natural Science Foundation of China

U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse

Fok Ying Tong Education Foundation

DH | National Institute for Health Research

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3