Temporal and spatial variability of dynamic microstate brain network in early Parkinson's disease.

ABSTRACT: Changes of brain network dynamics reveal variations in macroscopic neural activity patterns in behavioral and cognitive aspects. Quantification and application of changed dynamics in brain functional connectivity networks may contribute to a better understanding of brain diseases, and ultimately provide better prognostic indicators or auxiliary diagnostic tools. At present, most studies are focused on the properties of brain functional connectivity network constructed by sliding window method. However, few studies have explored evidence-based brain network construction algorithms that reflect disease specificity. In this work, we first proposed a novel approach to characterize the spatiotemporal variability of dynamic functional connectivity networks based on electroencephalography (EEG) m

SUBMITTER: Chu C 

PROVIDER: S-EPMC10086042 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature