Causality analysis of neural connectivity: Critical examination of existing methods and advances of new methods

IEEE Transactions on Neural Networks

Volumn 22, Issue 6, 2011, Pages 829-844

  Hu, Sanqing ^a   Dai, Guojun ^a   Worrell, Gregory A ^b   Dai, Qionghai ^c   Liang, Hualou ^d  

^a HANGZHOU DIANZI UNIVERSITY   (China)

^b MAYO CLINIC   (United States)

^c TSINGHUA UNIVERSITY   (China)

^d DREXEL UNIVERSITY   (United States)

Author keywords

Event related potential; Granger or Granger like causality; linear regression model; new causality; power spectrum

Indexed keywords

BRAIN AREAS; CAUSALITY ANALYSIS; DIFFERENT FREQUENCY; EPILEPSY SURGERY; EVENT RELATED POTENTIALS; FREQUENCY DOMAINS; GRANGER CAUSALITY; GRANGER OR GRANGER-LIKE CAUSALITY; INVERSE MATRIX; LINEAR REGRESSION MODELS; NATURAL EXTENSION; NEW CAUSALITY; ONE-EQUATION; PARTIAL INFORMATION; POTENTIAL APPLICATIONS; TIME AND FREQUENCY DOMAINS; TIME DOMAIN; TIME FREQUENCY;

INVERSE PROBLEMS; LINEAR REGRESSION; POWER SPECTRUM; TIME DOMAIN ANALYSIS; TIME SERIES; TIME SERIES ANALYSIS; TRANSFER MATRIX METHOD;

FREQUENCY DOMAIN ANALYSIS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; COGNITION; COMPUTER SIMULATION; EVOKED RESPONSE; PERCEPTION; PHYSIOLOGY; STATISTICAL MODEL;

ALGORITHMS; COGNITION; COMPUTER SIMULATION; EVOKED POTENTIALS; LINEAR MODELS; NEURAL NETWORKS (COMPUTER); PERCEPTION;

EID: 79957978757     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2123917     Document Type: Review

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