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Altered EEG Microstates Dynamics in Individuals with Subthreshold Depression When Generating Negative Future Events.
Zhuoya Yang1,2, Lei Xia3,2, Yixiao Fu4
1Department of Basic Psychology, School of Medical Psychology, Army Medical University, Chongqing, 400038, China.
Individuals with subthreshold depression exhibit altered brain dynamics during negative future thinking. Electroencephalogram (EEG) microstate analysis revealed distinct patterns in the default mode network (DMN), suggesting potential biomarkers for depression.
Area of Science:
- Neuroscience
- Psychiatry
- Cognitive Science
Background:
- Negative bias in future thinking is linked to depression.
- Abnormal default mode network (DMN) activity is observed in depressed individuals during future event generation.
- Neural dynamics during prospection in depression remain unclear.
Purpose of the Study:
- To investigate the neural dynamics of prospection in individuals with subthreshold depression (SD) using electroencephalogram (EEG) microstate analysis.
- To identify alterations in brain network dynamics associated with negative bias in SD.
Main Methods:
- EEG microstate analysis was performed on 35 individuals with SD and 35 controls during positive and negative prospection.
- Source analysis mapped microstates to DMN subsystems.
- Microstate properties (coverage, occurrence, duration) and transitions were analyzed.
Main Results:
- Four canonical microstates (A-D) were identified, overlapping with DMN subsystems.
- Individuals with SD showed altered microstate dynamics during negative prospection.
- Increased coverage, occurrence, and duration of microstate A, and decreased coverage and duration of microstates B and D were observed in the SD group.
- Altered transitions, especially involving microstate C, were noted in the SD group during negative prospection.
Conclusions:
- Altered EEG microstate dynamics indicate dysconnectivity within the DMN during negative prospection in individuals with SD.
- These findings offer insights into the neural mechanisms of negative bias in depression.
- Observed alterations may serve as potential biomarkers and therapeutic targets for depression.
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