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Connectivity measures applied to human brain electrophysiological data.


ABSTRACT: 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.

SUBMITTER: Greenblatt RE 

PROVIDER: S-EPMC5549799 | biostudies-other | 2012 May

REPOSITORIES: biostudies-other

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