Cross-subject network investigation of the EEG microstructure: A sleep spindles study.

ABSTRACT:

Background

The microstructural EEG elements and their functional networks relate to many neurophysiological functions of the brain and can reveal abnormalities. Despite the blooming variety of methods for estimating connectivity in the EEG of a single subject, a common pitfall is seen in relevant studies; grand averaging is used for estimating the characteristic connectivity patterns of a group of subjects. This averaging may distort results and fail to account for the internal variability of connectivity results across the subjects of a group.

New method

In this study, we propose a novel methodology for the cross-subject network investigation of EEG graphoelements. We used dimensionality reduction techniques in order to reveal internal connectivity properties and to examine

SUBMITTER: Sakellariou DF 

PROVIDER: S-EPMC6327148 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature