CSPVARICA Toolbox
A Framework to Assess the Information Dynamics of
Source EEG Activity
The CSPMVARICA toolbox sets up framework for the
information-theoretic analysis of brain functional connectivity
performed at the level of electroencephalogram (EEG) sources. The
framework combines the use of common spatial patterns to select the EEG
components which maximize the variance between two experimental
conditions, simultaneous implementation of vector autoregressive
modeling (VAR) with independent component analysis to describe the
joint source dynamics and their projection to the scalp, and
computation of information dynamics measures (information storage,
information transfer, statistically significant network links) from the
source VAR parameters.
DOWNLOAD: Zip file with all scripts and functions: CSPVARICA.zip
The code is provided free of charge. It is neither exhaustively tested
nor particularly well documented. The authors accept no liability for
its use. Use, modification and redistribution of the code is allowed in
any way users see fit. Authors ask only that authorship is acknowledged
and ref. [1] is cited upon utilization of the code in integral or
partial form.
DISCLAIMER OF
WARRANTIES AND LIMITATION OF LIABILITY The code is supplied as is and
all use is at your own risk. The authors disclaim all warranties of any
kind, either express or implied, as to the softwares, including, but
not limited to, implied warranties of fitness for a particular purpose,
merchantability or non - infringement of proprietary rights. Neither
this agreement nor any documentation furnished under it is intended to
express or imply any warranty that the operation of the software will
be error - free. Under no circumstances shall the authors of the
softwares provided here be liable to any user for direct, indirect,
incidental, consequential, special, or exemplary damages, arising from
the software, or user' s use or misuse of the softwares. Such
limitation of liability shall apply whether the damages arise from the
use or misuse of the data provided or errors of the software.
References:
L Kotiuchyi, I.; Pernice, R.; Popov, A.; Faes, L.; Kharytonov, V. A Framework to Assess the Information Dynamics of Source EEG Activity and Its Application to Epileptic Brain Networks. Brain Sci. 2020, 10, 657.