Reference : Rejection of pulse related artefact (PRA) from continuous electroencephalographic (EEG) ...
Scientific journals : Article
Human health sciences : Neurology
http://hdl.handle.net/2268/104707
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).
English
Leclercq, Yves [Université de Liège - ULg > > Centre de recherches du cyclotron >]
Balteau, Evelyne mailto [Université de Liège - ULg > > Centre de recherches du cyclotron >]
Dang Vu, Thien Thanh [Université de Liège - ULg > Département des sciences cliniques > Neurologie >]
Schabus, M. [> > > >]
Luxen, André mailto [Université de Liège - ULg > Département de chimie (sciences) > Chimie organique de synthèse - Centre de recherches du cyclotron >]
Maquet, Pierre mailto [Centre Hospitalier Universitaire de Liège - CHU > > Neurologie Sart Tilman >]
Phillips, Christophe mailto [Université de Liège - ULg > > Centre de recherches du cyclotron - Dép. d'électric., électron. et informat. (Inst.Montefiore) >]
2009
NeuroImage
Academic Press
44
3
679-91
Yes (verified by ORBi)
International
1053-8119
1095-9572
Orlando
FL
[en] 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.
http://hdl.handle.net/2268/104707
10.1016/j.neuroimage.2008.10.017

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