High Variability Periods in the EEG Distinguish Cognitive Brain States.

ABSTRACT:

Objective

To describe a novel measure of EEG signal variability that distinguishes cognitive brain states.

Method

We describe a novel characterization of amplitude variability in the EEG signal termed "High Variability Periods" or "HVPs", defined as segments when the standard deviation of a moving window is continuously higher than the quartile cutoff. We characterize the parameter space of the metric in terms of window size, overlap, and threshold to suggest ideal parameter choice and compare its performance as a discriminator of brain state to alternate single channel measures of variability such as entropy, complexity, harmonic regression fit, and spectral measures.

Results

We show that the average HVP duration provides a substantially distinct view of the signal r

SUBMITTER: Parameshwaran D 

PROVIDER: S-EPMC10669877 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature