4.3 Article

Altered EEG Microstates Dynamics in Individuals with Subthreshold Depression When Generating Negative Future Events

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BRAIN TOPOGRAPHY
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SPRINGER
DOI: 10.1007/s10548-023-01011-5

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Subthreshold depression; Prospection; EEG microstate; Temporal dynamic; Source analysis

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Research suggests that negative bias in prospection is crucial in driving and maintaining depression. This study used EEG microstate analysis to investigate the neural dynamics during prospection in depressed individuals. The findings reveal altered microstates and dysconnectivity between subsystems of the default mode network during negative prospection in individuals with depression.
Negative bias in prospection may play a crucial role in driving and maintaining depression. Recent research suggests abnormal activation and functional connectivity in regions of the default mode network (DMN) during future event generation in depressed individuals. However, the neural dynamics during prospection in these individuals remain unknown. To capture network dynamics at high temporal resolution, we employed electroencephalogram (EEG) microstate analysis. We examined microstate properties during both positive and negative prospection in 35 individuals with subthreshold depression (SD) and 35 controls. We identified similar sets of four canonical microstates (A-D) across groups and conditions. Source analysis indicated that each microstate map partially overlapped with a subsystem of the DMN (A: verbal; B: visual-spatial; C: self-referential; and D: modulation). Notably, alterations in EEG microstates were primarily observed in negative prospection of individuals with SD. Specifically, when generating negative future events, the coverage, occurrence, and duration of microstate A increased, while the coverage and duration of microstates B and D decreased in the SD group compared to controls. Furthermore, we observed altered transitions, particularly involving microstate C, during negative prospection in the SD group. These altered dynamics suggest dysconnectivity between subsystems of the DMN during negative prospection in individuals with SD. In conclusion, we provide novel insights into the neural mechanisms of negative bias in depression. These alterations could serve as specific markers for depression and potential targets for future interventions.

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