Changes in oscillatory patterns of microstate sequence in patients with first-episode psychosis.

ABSTRACT: We aimed to utilize chaos game representation (CGR) for the investigation of microstate sequences and explore its potential as neurobiomarkers for psychiatric disorders. We applied our proposed method to a public dataset including 82 patients with first-episode psychosis (FEP) and 61 control subjects. Two time series were constructed: one using the microstate spacing distance in CGR and the other using complex numbers representing the microstate coordinates in CGR. Power spectral features of both time series and frequency matrix CGR (FCGR) were compared between groups and employed in a machine learning application. The four canonical microstates (A, B, C, and D) were identified using both shared and separate templates. Our results showed the microstate oscillatory pattern exhibited alterat

SUBMITTER: Zhou DD 

PROVIDER: S-EPMC10770397 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature