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Dataset Information

Microstate Analysis of Continuous Infant EEG: Tutorial and Reliability.


ABSTRACT: Microstate analysis of resting-state EEG is a unique data-driven method for identifying patterns of scalp potential topographies, or microstates, that reflect stable but transient periods of synchronized neural activity evolving dynamically over time. During infancy - a critical period of rapid brain development and plasticity - microstate analysis offers a unique opportunity for characterizing the spatial and temporal dynamics of brain activity. However, whether measurements derived from this approach (e.g., temporal properties, transition probabilities, neural sources) show strong psychometric properties (i.e., reliability) during infancy is unknown and key information for advancing our understanding of how microstates are shaped by early life experiences and whether they relate to indiv

SUBMITTER: Bagdasarov A 

PROVIDER: S-EPMC11199263 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature