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ABSTRACT: Objective
To investigate regional associations between peak alpha frequency (PAF) and poststroke cognitive impairment (PSCI) and evaluate PAF as an objective biomarker for cognitive assessment in PSCI.Methods
A cross-sectional study compared 103 participants [PSCI, poststroke non-impaired (PSN), and healthy controls]. Cognitive function was assessed using MoCA scores. PAF characteristics were analyzed across brain regions via EEG, with logistic regression and Random Forest identifying key predictors. We aimed to evaluate whether PAF can be an effective indicator of cognitive status in PSCI.Results
The Kruskal-Wallis test with post hoc Bonferroni correction revealed that PSCI exhibited significantly lower PAF compared to HC across all major brain regions (fron
SUBMITTER: Zhao Y
PROVIDER: S-EPMC12589030 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature