Application of independent component analysis for the data mining of simultaneous eegfMRI: Preliminary experience on sleep onset

International Journal of Neuroscience

Volumn 119, Issue 8, 2009, Pages 1118-1136

  Lee, Jong Hwan ^a   Oh, Sungsuk ^b   Jolesz, Ferenc A ^a   Park, Hyunwook ^b   Yoo, Seung Schik ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Electroencephalogram (EEG); Epileptic discharge; Functional MRI (fMRI); Independent component analysis (ICA); Simultaneous EEGfMRI; Sleep pattern

Indexed keywords

ADULT; ALPHA RHYTHM; ARTICLE; ARTIFACT REDUCTION; BRAIN REGION; CASE REPORT; COMPUTER PROGRAM; CONTROLLED STUDY; DATA MINING; ELECTROENCEPHALOGRAPHY; EPILEPSY; EPILEPTIC DISCHARGE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMICS; HUMAN; INDEPENDENT COMPONENT ANALYSIS; MALE; SLEEP; SLEEP DEPRIVATION; THETA RHYTHM;

ADULT; ALGORITHMS; ARTIFACTS; BRAIN; DATA INTERPRETATION, STATISTICAL; DATABASES, FACTUAL; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; PRINCIPAL COMPONENT ANALYSIS; SLEEP; SLEEP DEPRIVATION; SOFTWARE;

EID: 70350475329     PISSN: 00207454     EISSN: 15635279     Source Type: Journal    
DOI: 10.1080/00207450902854627     Document Type: Article

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