Frequency Analysis of EEG Microstate Sequences in Wakefulness and NREM Sleep.

ABSTRACT: The majority of EEG microstate analyses concern wakefulness, and the existing sleep studies have focused on changes in spatial microstate properties and on microstate transitions between adjacent time points, the shortest available time scale. We present a more extensive time series analysis of unsmoothed EEG microstate sequences in wakefulness and non-REM sleep stages across many time scales. Very short time scales are assessed with Markov tests, intermediate time scales by the entropy rate and long time scales by a spectral analysis which identifies characteristic microstate frequencies. During the descent from wakefulness to sleep stage N3, we find that the increasing mean microstate duration is a gradual phenomenon explained by a continuous slowing of microstate dynamics as described b

SUBMITTER: Wiemers MC 

PROVIDER: S-EPMC11374823 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature