Critical Comments on EEG Sensor Space Dynamical Connectivity Analysis

Volume: 32, Issue: 4, Pages: 643 - 654
Published: Nov 30, 2016
Abstract
Many different analysis techniques have been developed and applied to EEG recordings that allow one to investigate how different brain areas interact. One particular class of methods, based on the linear parametric representation of multiple interacting time series, is widely used to study causal connectivity in the brain. However, the results obtained by these methods should be interpreted with great care. The goal of this paper is to show,...
Paper Details
Title
Critical Comments on EEG Sensor Space Dynamical Connectivity Analysis
Published Date
Nov 30, 2016
Volume
32
Issue
4
Pages
643 - 654
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