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Changed brain entropy and functional connectivity patterns induced by electroconvulsive therapy in majoy depression
Siyu Fan1, Jiahua Zhang2, Yue Wu3
1Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei. 230022, PR China.
Electroconvulsive Therapy (ECT) research reveals that combining linear and nonlinear brain signal analysis, specifically brain entropy (BEN), can identify key brain regions and functional connectivity changes in Major Depressive Disorder (MDD) patients. This approach offers novel insights into depression pathogenesis and potential therapeutic targets.
Area of Science:
- Neuroscience
- Psychiatry
- Medical Imaging
Background:
- Major Depressive Disorder (MDD) is a complex psychiatric condition with unclear pathogenesis.
- Electroconvulsive Therapy (ECT) is an effective treatment for severe MDD, but its neural mechanisms require further elucidation.
- Current research often focuses on either linear or nonlinear brain signal characteristics, potentially missing integrated insights.
Purpose of the Study:
- To innovatively integrate linear and nonlinear brain signal characteristics in Electroconvulsive Therapy (ECT) research.
- To uncover deeper insights into the pathogenesis of Major Depressive Disorder (MDD).
- To identify novel targets for physical intervention therapies in MDD.
Main Methods:
- Measured brain entropy (BEN) using resting-state functional MRI (rs-fMRI) in 42 MDD patients and 42 healthy controls (HC).
- Identified brain regions with significant differences in MDD patients before and after ECT.
- Investigated whole-brain resting-state functional connectivity (RSFC) patterns using identified regions as seed points.
Main Results:
- MDD patients exhibited higher BEN in the right precuneus (PCUN.R) and right angular gyrus (ANG.R) compared to HCs.
- Post-ECT, patients showed reduced BEN in PCUN.R and ANG.R.
- Significant increases in RSFC were observed after ECT between PCUN.R and the right middle temporal gyrus, and between ANG.R and the right middle frontal gyrus/right supramarginal gyrus.
Conclusions:
- Integrating linear and nonlinear brain signal characteristics provides a comprehensive approach to understanding depression.
- This combined analysis effectively explores the pathogenesis of MDD.
- The findings offer new targets for optimizing ECT and developing novel physical intervention therapies.
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