Novel artefact removal algorithms for co-registered EEG/fMRI based on selective averaging and subtraction

NeuroImage

Volumn 64, Issue 1, 2013, Pages 407-415

  de Munck, Jan C ^a   van Houdt, Petra J ^a,b   Gonçalves, Sónia I ^c   van Wegen, Erwin ^d   Ossenblok, Pauly P W ^b  

^a VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^b EPILEPSY CENTER KEMPENHAEGHE   (Netherlands)

^c CENTRO HOSPITALAR E UNIVERSITÁRIO DE COIMBRA   (Portugal)

^d VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

Artefact correction; BCG artefact; Clustering; EEG fMRI; Gradient artefact; Overlapping artefacts

Indexed keywords

ACCURACY; ALGORITHM; ALPHA RHYTHM; ARTICLE; ARTIFACT; CLUSTER ANALYSIS; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; EPILEPSY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEART BEAT; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; IMAGE SUBTRACTION; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; PREDICTION; PRIORITY JOURNAL; SIGNAL DETECTION; SIGNAL NOISE RATIO;

ALGORITHMS; ARTIFACTS; BRAIN MAPPING; ELECTROENCEPHALOGRAPHY; HUMANS; IMAGE ENHANCEMENT; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84867466114     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.09.022     Document Type: Article

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