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Literature DB >> 22426415

Connectivity measures applied to human brain electrophysiological data.

R E Greenblatt¹, M E Pflieger, A E Ossadtchi.

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.

Entities: Chemical Disease Gene Species

Mesh：

Year: 2012 PMID： 22426415 PMCID： PMC5549799 DOI： 10.1016/j.jneumeth.2012.02.025

Source DB: PubMed Journal: J Neurosci Methods ISSN： 0165-0270 Impact factor: 2.390

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