Temporal and spatial variability of dynamic microstate brain network in disorders of consciousness.

ABSTRACT:

Background

Accurately diagnosing patients with the vegetative state (VS) and the minimally conscious state (MCS) reached a misdiagnosis of approximately 40%.

Methods

A method combined microstate and dynamic functional connectivity (dFC) to study the spatiotemporal variability of the brain in disorders of consciousness (DOC) patients was proposed. Resting-state EEG data were obtained from 16 patients with MCS and 16 patients with VS. Mutual information (MI) was used to assess the EEG connectivity in each microstate. MI-based features with statistical differences were selected as the total feature subset (TFS), then the TFS was utilized to feature selection and fed into the classifier, obtaining the optimal feature subsets (OFS) in each microstate. Subsequently, an OFS-based M

SUBMITTER: Li Y 

PROVIDER: S-EPMC10883110 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature