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DOI 10.1016/j.pscychresns.2024.111788

Медицинская библиотека · Psychiatry research. Neuroimaging · 2024

Changed brain entropy and functional connectivity patterns induced by electroconvulsive therapy in majoy depression disorder.

Fan Siyu, Zhang Jiahua, Wu Yue, Yu Yue, Zheng Hao, Guo Yuan Yuan, Ji Yang, Pang Xiaonan, Tian Yanghua

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

OBJECTIVE

Our objective is to innovatively integrate both linear and nonlinear characteristics of brain signals in Electroconvulsive Therapy (ECT) research, with the goal of uncovering deeper insights into the pathogenesis of Major Depressive Disorder (MDD) and identifying novel targets for other physical intervention therapies.

METHODS

We measured brain entropy (BEN) in 42 MDD patients and 42 matched healthy controls (HC) using rs-fMRI data. Brain regions that differed significantly in patients with MDD before and after ECT were extracted. Then, we use these brain regions as seed points to investigate the differences in whole-brain resting-state functional connectivity (RSFC) patterns before and after ECT.

RESULTS

Compared to HCs, patients had higher BEN levels in the right precuneus (PCUN.R) and right angular gyrus (ANG.R). After ECT, patients had lower BEN levels in the PCUN.R and ANG.R. Compared with before ECT, patients showed significantly increased RSFC after ECT between the PCUN.R and right middle temporal gyrus and ANG.R. Significantly increased RSFC was observed between the ANG.R and right middle frontal gyrus and right supramarginal gyrus after ECT.

CONCLUSION

Combining the linear and nonlinear characteristics of brain signals can effectively explore the pathogenesis of depression and provide new targets for ECT.

Для цитирования: Fan Siyu, Zhang Jiahua, Wu Yue, Yu Yue, Zheng Hao, Guo Yuan Yuan, Ji Yang, Pang Xiaonan, Tian Yanghua. Changed brain entropy and functional connectivity patterns induced by electroconvulsive therapy in majoy depression disorder.. Psychiatry research. Neuroimaging. 2024. DOI: 10.1016/j.pscychresns.2024.111788.

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