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Enhanced default mode network functional connectivity links with electroconvulsive therapy response in major depressive disorder
Pang, Yajing1; Wei, Qiang2; Zhao, Shanshan1; Li, Nan1; Li, Zhihui1; Lu, Fengmei3; Pang, Jianyue4; Zhang, Rui1; Wang, Kai2; Chu, Congying5,6; Tian, Yanghua2; Wang, Jiaojian7,8
Source PublicationJOURNAL OF AFFECTIVE DISORDERS
ISSN0165-0327
2022-06-01
Volume306Pages:47-54
Corresponding AuthorChu, Congying(chucongying@gmail.com) ; Tian, Yanghua(ayfytyh@126.com) ; Wang, Jiaojian(jjwang@lpbr.cn)
AbstractBackground: 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.
KeywordMajor depressive disorder ECT Functional connectivity Prediction Depressive symptom
DOI10.1016/j.jad.2022.03.035
WOS KeywordEMOTION REGULATION ; MECHANISMS ; STEPS ; STATE
Indexed BySCI
Language英语
Funding ProjectNatural 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]
Funding OrganizationNatural 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
WOS Research AreaNeurosciences & Neurology ; Psychiatry
WOS SubjectClinical Neurology ; Psychiatry
WOS IDWOS:000793696500007
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/49447
Collection脑网络组研究
Corresponding AuthorChu, Congying; Tian, Yanghua; Wang, Jiaojian
Affiliation1.Zhengzhou Univ, Sch Elect Engn, Zhengzhou 450001, Peoples R China
2.Anhui Med Univ, Dept Neurol, Hosp 1, Hefei 230022, Peoples R China
3.Univ Elect Sci & Technol China, Clin Hosp, Sch Life Sci & Technol, Chengdu Brain Sci Inst, Chengdu 610054, Peoples R China
4.Zhengzhou Univ, Dept Psychiat, Affiliated Hosp 1, Zhengzhou 450052, Peoples R China
5.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing 100190, Peoples R China
6.Chinese Acad Sci, Inst Automat, China Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
7.Kunming Univ Sci & Technol, Inst Primate Translat Med, State Key Lab Primate Biomed Res, Kunming 650500, Yunnan, Peoples R China
8.Yunnan Key Lab Primate Biomed Res, Kunming 650500, Yunnan, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
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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