Validating rationale of group-level component analysis based on estimating number of sources in EEG through model order selection

Journal of Neuroscience Methods

Volumn 212, Issue 1, 2013, Pages 165-172

  Cong, Fengyu ^a   He, Zhaoshui ^b   Hämäläinen, Jarmo ^a   Leppänen, Paavo H T ^a   Lyytinen, Heikki ^a   Cichocki, Andrzej ^c   Ristaniemi, Tapani ^a  

^a UNIVERSITY OF JYVÄSKYLÄ   (Finland)

^b GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

^c RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

EEG; Event related potential; Filter; Group component analysis; Mismatch negativity; Model order selection; Number of sources

Indexed keywords

ARTICLE; CHILD; CONTROLLED STUDY; DYSLEXIA; ELECTROENCEPHALOGRAM; GROUP COMPONENT ANALYSIS; HUMAN; INFORMATION PROCESSING; MISMATCH NEGATIVITY; MODEL; MODEL ORDER SELECTION; MULTIVARIATE ANALYSIS; PRIORITY JOURNAL; PROCEDURES; SIGNAL NOISE RATIO; STATISTICAL ANALYSIS;

BRAIN MAPPING; CHILD; COMPUTER SIMULATION; DYSLEXIA; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; FEMALE; FOURIER ANALYSIS; HUMANS; LONGITUDINAL STUDIES; MALE; MODELS, BIOLOGICAL; NEUROPSYCHOLOGICAL TESTS; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS;

EID: 84868217552     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2012.09.029     Document Type: Article

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