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SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets
Jiang, Rongtao1,2,3; Abbott, Christopher C.4; Jiang, Tianzi1,2,3,5; Du, Yuhui6,7; Espinoza, Randall8; Narr, Katherine L.8,9; Wade, Benjamin9; Yu, Qingbao6; Song, Ming1,2; Lin, Dongdong6; Chen, Jiayu6; Jones, Thomas4; Argyelan, Miklos10,11,12,13; Petrides, Georgios10,11,12,13; Sui, Jing1,2,3,5,6; Calhoun, Vince D.4,6,14
2018-04-01
发表期刊NEUROPSYCHOPHARMACOLOGY
卷号43期号:5页码:1078-1087
文章类型Article
摘要Owing to the rapid and robust clinical effects, electroconvulsive therapy (ECT) represents an optimal model to develop and test treatment predictors for major depressive disorders (MDDs), whereas imaging markers can be informative in identifying MDD patients who will respond to a specific antidepressant treatment or not. Here we aim to predict post-ECT depressive rating changes and remission status using pre-ECT gray matter (GM) in 38 MDD patients and validate in two independent data sets. Six GM regions including the right hippocampus/parahippocampus, right orbitofrontal gyrus, right inferior temporal gyrus (ITG), left postcentral gyrus/precuneus, left supplementary motor area, and left lingual gyrus were identified as predictors of ECT response, achieving accuracy of 89, 90 and 86% for remission prediction in three independent, age-matched data sets, respectively. For MDD patients, GM density increases only in the left supplementary motor cortex and left postcentral gyrus/precuneus after ECT. These results suggest that treatment-predictive and treatment-responsive regions may be anatomically different but functionally related in the context of ECT response. To the best of our knowledge, this is the first attempt to quantitatively identify and validate the ECT treatment biomarkers using multi-site GM data. We address a major clinical challenge and provide potential opportunities for more effective and timely interventions for electroconvulsive treatment.
关键词.
WOS标题词Science & Technology ; Life Sciences & Biomedicine
DOI10.1038/npp.2017.165
关键词[WOS]TREATMENT-RESISTANT DEPRESSION ; GRAY-MATTER ABNORMALITIES ; MAJOR DEPRESSION ; THERAPY ; PHARMACOTHERAPY ; CONNECTIVITY ; METAANALYSIS ; MORPHOMETRY ; DISORDER ; EFFICACY
收录类别SCI
语种英语
项目资助者National High Tech Program (863)(2015AA020513) ; China National Natural Science Foundation(81471367) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB02060005) ; Natural Science Foundation of Shanxi Province(2016021077) ; National Institute of Health(1R01EB005846 ; 1R01MH094524 ; P20GM103472)
WOS研究方向Neurosciences & Neurology ; Pharmacology & Pharmacy ; Psychiatry
WOS类目Neurosciences ; Pharmacology & Pharmacy ; Psychiatry
WOS记录号WOS:000427484600017
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/20284
专题脑网络组研究中心
作者单位1.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Univ New Mexico, Dept Psychiat, Albuquerque, NM 87131 USA
5.Chinese Acad Sci, Inst Automat, Ctr Excellence Brain Sci, Beijing, Peoples R China
6.Mind Res Network & Lovelace Biomed & Environm Res, Albuquerque, NM USA
7.Shanxi Univ, Sch Comp & Informat Technol, Taiyuan, Shanxi, Peoples R China
8.Univ Calif Los Angeles, Dept Psychiat & Biobehav Sci, Los Angeles, CA 90024 USA
9.Univ Calif Los Angeles, Dept Neurol, Ahmanson Lovelace Brain Mapping Ctr, Los Angeles, CA 90024 USA
10.Feinstein Inst Med Res, Ctr Psychiat Neurosci, Manhasset, NY USA
11.Northwell Syst, Zucker Hillside Hosp, Div Psychiat Res, Glen Oaks, NY USA
12.Hofstra Northwell Sch Med, Dept Psychiat, Hempstead, NY USA
13.Hofstra Northwell Sch Med, Dept Mol Med, Hempstead, NY USA
14.Univ New Mexico, Dept Elect & Comp Engn, Albuquerque, NM 87131 USA
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GB/T 7714
Jiang, Rongtao,Abbott, Christopher C.,Jiang, Tianzi,et al. SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets[J]. NEUROPSYCHOPHARMACOLOGY,2018,43(5):1078-1087.
APA Jiang, Rongtao.,Abbott, Christopher C..,Jiang, Tianzi.,Du, Yuhui.,Espinoza, Randall.,...&Calhoun, Vince D..(2018).SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets.NEUROPSYCHOPHARMACOLOGY,43(5),1078-1087.
MLA Jiang, Rongtao,et al."SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets".NEUROPSYCHOPHARMACOLOGY 43.5(2018):1078-1087.
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