Enhanced default mode network functional connectivity links with electroconvulsive therapy response in major depressive disorder
Pang, Yajing8; Wei, Qiang7; Zhao, Shanshan8; Li, Nan8; Li, Zhihui8; Lu, Fengmei6; Pang, Jianyue5; Zhang, Rui8; Wang, Kai7; Chu, Congying3,4
刊名JOURNAL OF AFFECTIVE DISORDERS
2022-06-01
卷号306页码:47-54
关键词Major depressive disorder ECT Functional connectivity Prediction Depressive symptom
ISSN号0165-0327
DOI10.1016/j.jad.2022.03.035
通讯作者Chu, Congying(chucongying@gmail.com) ; Tian, Yanghua(ayfytyh@126.com) ; Wang, Jiaojian(jjwang@lpbr.cn)
英文摘要Background: Electroconvulsive therapy (ECT) is an effective neuromodulatory treatment for major depressive disorder (MDD), especially for cases resistant to antidepressant drugs. While the precise mechanisms underlying ECT efficacy are still unclear, it is speculated that ECT modulates brain connectivity. The current study aimed to investigate the longitudinal effects of ECT on resting-state functional connectivity (FC) in MDD patients and test if baseline FC can be used to predict therapeutic response.Method: Resting-state functional magnetic resonance imaging data were collected at baseline and following ECT from 33 MDD patients. Whole-brain multi-voxel pattern analysis (MVPA) and region of interest-wise FC analysis were employed to fully investigate ECT effects on brain connectivity. Linear support vector regression was further utilized to predict the improvement in depressive symptoms based on baseline connectivity.Results: MVPA revealed a significant ECT effect on FC in the default mode network (DMN), central executive network (CEN), sensorimotor network (SMN), and cerebellar posterior lobe. The FCs within the DMN and between DMN and CEN were enhanced in patients after ECT, and the changed FC between the medial prefrontal cortex and ventrolateral prefrontal cortex was negatively correlated with depressive symptom improvement. Moreover, baseline FC within the DMN and between the DMN and CEN could effectively predict the improvement of depressive symptoms.Conclusions: The findings suggest that the FCs within the DMN and between DMN and CEN may be critical therapeutic targets for effective antidepressant treatment as well as neuromarkers for predicting treatment response.
资助项目Natural Science Foundation of China[62176044] ; Natural Science Foundation of China[62103377] ; Natural Science Foundation of China[62006038] ; Natural Science Foundation of China[32071054] ; Natural Science Foundation of China[91732303] ; Natural Science Foundation of Yunnan Province[202001BC070001] ; Natural Science Foundation of Yunnan Province[202102AA100053] ; Key Scientific Research Program of the Higher Education Institutions of Henan Province[22A416013] ; Sichuan Science and Technology Program[2021YJ0186] ; National Key Research & Development Program of China[2020YFC2006100]
WOS关键词EMOTION REGULATION ; MECHANISMS ; STEPS ; STATE
WOS研究方向Neurosciences & Neurology ; Psychiatry
语种英语
出版者ELSEVIER
WOS记录号WOS:000793696500007
资助机构Natural Science Foundation of China ; Natural Science Foundation of Yunnan Province ; Key Scientific Research Program of the Higher Education Institutions of Henan Province ; Sichuan Science and Technology Program ; National Key Research & Development Program of China
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/49446]  
专题自动化研究所_脑网络组研究中心
通讯作者Chu, Congying; Tian, Yanghua; Wang, Jiaojian
作者单位1.Yunnan Key Lab Primate Biomed Res, Kunming 650500, Yunnan, Peoples R China
2.Kunming Univ Sci & Technol, Inst Primate Translat Med, State Key Lab Primate Biomed Res, Kunming 650500, Yunnan, Peoples R China
3.Chinese Acad Sci, Inst Automat, China Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
4.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing 100190, Peoples R China
5.Zhengzhou Univ, Dept Psychiat, Affiliated Hosp 1, Zhengzhou 450052, Peoples R China
6.Univ Elect Sci & Technol China, Clin Hosp, Sch Life Sci & Technol, Chengdu Brain Sci Inst, Chengdu 610054, Peoples R China
7.Anhui Med Univ, Dept Neurol, Hosp 1, Hefei 230022, Peoples R China
8.Zhengzhou Univ, Sch Elect Engn, Zhengzhou 450001, Peoples R China
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Pang, Yajing,Wei, Qiang,Zhao, Shanshan,et al. Enhanced default mode network functional connectivity links with electroconvulsive therapy response in major depressive disorder[J]. JOURNAL OF AFFECTIVE DISORDERS,2022,306:47-54.
APA Pang, Yajing.,Wei, Qiang.,Zhao, Shanshan.,Li, Nan.,Li, Zhihui.,...&Wang, Jiaojian.(2022).Enhanced default mode network functional connectivity links with electroconvulsive therapy response in major depressive disorder.JOURNAL OF AFFECTIVE DISORDERS,306,47-54.
MLA Pang, Yajing,et al."Enhanced default mode network functional connectivity links with electroconvulsive therapy response in major depressive disorder".JOURNAL OF AFFECTIVE DISORDERS 306(2022):47-54.
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