Modeling sparse connectivity between underlying brain sources for EEG/MEG

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 8, 2010, Pages 1954-1963

  Haufe, Stefan ^a   Tomioka, Ryota ^b   Nolte, Guido ^c   Müller, Klaus Robert ^a   Kawanabe, Motoaki ^c  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b UNIVERSITY OF TOKYO   (Japan)

^c FRAUNHOFER FIRST   (Germany)

Author keywords

Convolutive independent component analysis (ICA); electroencephalographic (EEG); functional connectivity; Granger Causality; magnetoencephalography (MEG); source multivariate AR (MVAR) model

Indexed keywords

ELECTROENCEPHALOGRAPHY; HEMODYNAMICS; MAGNETOENCEPHALOGRAPHY;

BRAIN CONNECTIVITY; CORRELATED SOURCES; DE-MIXING; FUNCTIONAL CONNECTIVITY; GRANGER CAUSALITY; LINEAR MIXTURES; MULTIVARIATE AUTOREGRESSIVE; NEURAL DATA; NOVEL TECHNIQUES; OVERFITTING; SIMULATED DATA; SPARSE DATA; VOLUME CONDUCTION;

INDEPENDENT COMPONENT ANALYSIS;

ALGORITHM; ARTICLE; BRAIN FUNCTION; ELECTROENCEPHALOGRAPHY; MAGNETOENCEPHALOGRAPHY; MULTIVARIATE ANALYSIS; NERVE CONDUCTION; SIGNAL TRANSDUCTION; SPARSELY CONNECTED SOURCES ANALYSIS; BIOLOGICAL MODEL; BRAIN; COMPUTER SIMULATION; HUMAN; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING; STATISTICAL ANALYSIS;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; ELECTROENCEPHALOGRAPHY; HUMANS; MAGNETOENCEPHALOGRAPHY; MODELS, BIOLOGICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77954646035     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2046325     Document Type: Article

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