Spatiotemporal dynamics of EEG microstates in four- to eight-year-old children: Age- and sex-related effects.

ABSTRACT: The ultrafast spatiotemporal dynamics of large-scale neural networks can be examined using resting-state electroencephalography (EEG) microstates, representing transient periods of synchronized neural activity that evolve dynamically over time. In adults, four canonical microstates have been shown to explain most topographic variance in resting-state EEG. Their temporal structures are age-, sex- and state-dependent, and are susceptible to pathological brain states. However, no studies have assessed the spatial and temporal properties of EEG microstates exclusively during early childhood, a critical period of rapid brain development. Here we sought to investigate EEG microstates recorded with high-density EEG in a large sample of 103, 4-8-year-old children. Using data-driven k-means cluster

SUBMITTER: Bagdasarov A 

PROVIDER: S-EPMC9301511 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature