Decomposing EEG data into space-time-frequency components using Parallel Factor Analysis

NeuroImage

Volumn 22, Issue 3, 2004, Pages 1035-1045

  Miwakeichi, Fumikazu ^a   Martínez Montes, Eduardo ^b   Valdés Sosa, Pedro A ^b   Nishiyama, Nobuaki ^a   Mizuhara, Hiroaki ^a   Yamaguchi, Yoko ^a  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^b CUBAN NEUROSCIENCE CENTER   (Cuba)

Author keywords

EEG space frequency time decomposition; Multiway analysis; Parallel Factor Analysis; Principal Component Analysis; Source Spectra Imaging

Indexed keywords

ADULT; ALPHA RHYTHM; ANALYTIC METHOD; ARITHMETIC; ARTICLE; BRAIN ELECTROPHYSIOLOGY; CONTROLLED STUDY; ELECTRIC CURRENT; ELECTROENCEPHALOGRAM; FRONTAL CORTEX; FRONTAL LOBE; HUMAN; HUMAN EXPERIMENT; INFORMATION PROCESSING; MALE; MATHEMATICAL COMPUTING; MEMBRANE STEADY POTENTIAL; MENTAL PERFORMANCE; NEUROIMAGING; NORMAL HUMAN; OCCIPITAL LOBE; PARALLEL FACTOR ANALYSIS; PRIORITY JOURNAL; SPACE; THETA RHYTHM; TIME; VISUAL CORTEX;

ALPHA RHYTHM; ARTIFACTS; BRAIN; ELECTROENCEPHALOGRAPHY; EYE MOVEMENTS; FACTOR ANALYSIS, STATISTICAL; HUMANS; MATHEMATICS; MENTAL PROCESSES; MODELS, NEUROLOGICAL; PRINCIPAL COMPONENT ANALYSIS; THETA RHYTHM; TIME FACTORS;

EID: 3042639103     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2004.03.039     Document Type: Article

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