Kernel granger causality mapping effective connectivity on fMRI data

IEEE Transactions on Medical Imaging

Volumn 28, Issue 11, 2009, Pages 1825-1835

  Liao, Wei ^a   Marinazzo, Daniele ^b   Pan, Zhengyong ^a   Gong, Qiyong ^c   Chen, Huafu ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b UNIVERSITÉ PARIS DESCARTES   (France)

^c SICHUAN UNIVERSITY   (China)

Author keywords

Effective connectivity; Functional magnetic resonance imaging (fMRI); Kernel Granger causality (KGC).

Indexed keywords

ARBITRARY DEGREE; BRAIN AREAS; EFFECTIVE CONNECTIVITY; EFFECTIVE COUPLING; FEATURE SPACE; FMRI DATA; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI); GRANGER CAUSALITY; KERNEL FUNCTION; KERNEL GRANGER CAUSALITY (KGC).; MOTOR IMAGERY TASKS; REPRODUCING KERNEL HILBERT SPACES; SIMULATION STUDIES; SUPPLEMENTARY MOTOR AREAS;

ACTIVATION ANALYSIS; HILBERT SPACES; MAGNETIC RESONANCE IMAGING; MOTORS;

MAGNETIC RESONANCE;

ALGORITHM; ARTICLE; BRAIN MAPPING; COMPUTER SIMULATION; HUMAN; IMAGE PROCESSING; METHODOLOGY; MULTIVARIATE ANALYSIS; NORMAL DISTRIBUTION; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY;

ALGORITHMS; BRAIN MAPPING; COMPUTER SIMULATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MULTIVARIATE ANALYSIS; NORMAL DISTRIBUTION; REPRODUCIBILITY OF RESULTS;

EID: 70350782361     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2009.2025126     Document Type: Article

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