Paper Info
Title
Rejection of pulse related artefact (PRA) from continuous electroencephalographic (EEG) time series recorded during functional magnetic resonance imaging (fMRI) using constraint independent component analysis (cICA).
Abstract
Rejection of the pulse related artefact (PRA) from electroencephalographic (EEG) time series recorded simultaneously with fMRI data is difficult, particularly during NREM sleep because of the similarities between sleep slow waves and PRA, in both temporal and frequency domains and the need to work with non-averaged data. Here we introduce an algorithm based on constrained independent component analysis (cICA) for PRA removal. This method has several advantages: (1) automatic detection of the components corresponding to the PRA; (2) stability of the solution and (3) computational treatability. Using multichannel EEG recordings obtained in a 3 T MR scanner, with and without concomitant fMRI acquisition, we provide evidence for the sensitivity and specificity of the method in rejecting PRA in various sleep and waking conditions.
Year
DOI
Venue
2009
10.1016/j.neuroimage.2008.10.017
NeuroImage
Keywords
Field
DocType
independent component analysis,time series,frequency domain
Functional magnetic resonance imaging,Computer science,Non-rapid eye movement sleep,Pulse (signal processing),Speech recognition,Independent component analysis,Electroencephalography
Journal
Volume
Issue
ISSN
44
3
1053-8119
Citations 
PageRank 
References 
5
0.54
15
Authors
7
Name
Order
Citations
PageRank
Yves Leclercq1111.37
Evelyne Balteau2535.08
Thanh Dang-Vu3101.91
Manuel Schabus4264.77
André Luxen59910.24
Pierre Maquet619518.31
Christophe Phillips719921.92