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


Division of Neuroscience, Department of Basic and Clinical Neuroscience, King's College, London, UK; Neurophysiology Unit, Department of Physiology, School of Medicine, University of Patras, Rio, Greece; Department of Clinical Neurophysiology and Epilepsy, Guy's and St Thomas' NHS Foundation Trust, London, UK. Electronic address: [Email]


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.


EEG microstructure,EEG networks,Graph theory,PCA,Pattern recognition,Sleep spindle networks,