Spatiotemporal dynamics of EEG microstates in four- to eight-year-old children: Age- and sex-related effects.
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 analysis, we show that the four canonical microstates reported in adult populations already exist in early childhood. Using multiple linear regressions, we demonstrate that the temporal dynamics of two microstates are associated with age and sex. Source localization suggests that attention- and cognitive control-related networks govern the topographies of the age- and sex-dependent microstates. These novel findings provide unique insights into functional brain development in children captured with EEG microstates.
Duke Scholars
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- 5203 Clinical and health psychology
- 5202 Biological psychology
- 3209 Neurosciences
- 1702 Cognitive Sciences
- 1109 Neurosciences
- 1103 Clinical Sciences
Citation
Published In
DOI
EISSN
ISSN
Publication Date
Volume
Start / End Page
Related Subject Headings
- 5203 Clinical and health psychology
- 5202 Biological psychology
- 3209 Neurosciences
- 1702 Cognitive Sciences
- 1109 Neurosciences
- 1103 Clinical Sciences