Connectivity measures applied to human brain electrophysiological data

被引：124

作者：

Greenblatt, R. E. ^{[1
,2
]}

Pflieger, M. E. ^{[1
,2
]}

Ossadtchi, A. E. ^{[3
]}

机构：

[1] Source Signal Imaging Inc, San Diego, CA USA

[2] San Diego State Univ, Computat Sci Res Ctr, San Diego, CA 92182 USA

[3] St Petersburg State Univ, St Petersburg, Russia

来源：

JOURNAL OF NEUROSCIENCE METHODS | 2012年 / 207卷 / 01期

基金：

美国国家卫生研究院;

关键词：

Brain networks; EEG; MEG; ECoG; iEEG; Mutual information; Coherence; Connectivity; Causality; BAND PHASE SYNCHRONIZATION; HIGH-RESOLUTION EEG; FUNCTIONAL CONNECTIVITY; VOLUME CONDUCTION; GRANGER CAUSALITY; COHERENCE; DYNAMICS; GAMMA; NETWORKS; POTENTIALS;

D O I：

10.1016/j.jneumeth.2012.02.025

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：1 / 16

页数：16

共 135 条

[1] ENTROPY EXPRESSIONS AND THEIR ESTIMATORS FOR MULTIVARIATE DISTRIBUTIONS [J].

AHMED, NA ;

GOKHALE, DV .

IEEE TRANSACTIONS ON INFORMATION THEORY, 1989, 35 (03) :688-692

[2]

Akaike H, 1976, MATH SCI, P5

[3] Detection of early cognitive processing by event-related phase synchronization analysis [J].

Allefeld, C ;

Frisch, S ;

Schlesewsky, M .

NEUROREPORT, 2005, 16 (01) :13-16

[4]

[Anonymous], 2010, DISCRETE TIME SIGNAL

[5]

[Anonymous], 1981, Electric Fields of the Brain: the Neurophysics of EEG

[6] Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function [J].

Babiloni, F ;

Cincotti, F ;

Babiloni, C ;

Carducci, F ;

Mattia, D ;

Astolfi, L ;

Basilisco, A ;

Rossini, PM ;

Ding, L ;

Ni, Y ;

Cheng, J ;

Christine, K ;

Sweeney, J ;

He, B .

NEUROIMAGE, 2005, 24 (01) :118-131

[7] Behaviour of Granger causality under filtering: Theoretical invariance and practical application [J].

Barnett, Lionel ;

Seth, Anil K. .

JOURNAL OF NEUROSCIENCE METHODS, 2011, 201 (02) :404-419

[8] Pre-ictal synchronicity in limbic networks of mesial temporal lobe epilepsy [J].

Bartolomei, F ;

Wendling, F ;

Régis, J ;

Gavaret, M ;

Guye, M ;

Chauvel, P .

EPILEPSY RESEARCH, 2004, 61 (1-3) :89-104

[9] AN INFORMATION MAXIMIZATION APPROACH TO BLIND SEPARATION AND BLIND DECONVOLUTION [J].

BELL, AJ ;

SEJNOWSKI, TJ .

NEURAL COMPUTATION, 1995, 7 (06) :1129-1159

[10] A blind source separation technique using second-order statistics [J].

Belouchrani, A ;

AbedMeraim, K ;

Cardoso, JF ;

Moulines, E .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1997, 45 (02) :434-444

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