Journal
JOURNAL OF NEUROSCIENCE METHODS
Volume 207, Issue 1, Pages 1-16Publisher
ELSEVIER
DOI: 10.1016/j.jneumeth.2012.02.025
Keywords
Brain networks; EEG; MEG; ECoG; iEEG; Mutual information; Coherence; Connectivity; Causality
Categories
Funding
- U.S. National Institutes of Health [R43 MH095439]
Ask authors/readers for more resources
Connectivity measures are (typically bivariate) statistical measures that may be used to estimate interactions between brain regions from electrophysiological data. We review both formal and informal descriptions of a range of such measures, suitable for the analysis of human brain electrophysiological data, principally electro- and magnetoencephalography. Methods are described in the space-time, space-frequency, and space-time-frequency domains. Signal processing and information theoretic measures are considered, and linear and nonlinear methods are distinguished. A novel set of cross-time-frequency measures is introduced, including a cross-time-frequency phase synchronization measure. (C) 2012 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available