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Statistical Feature Extraction for Artifact Removal from Concurrent fMRI-EEG Recordings

We propose a set of algorithms for sequentially removing artifacts related to MRI gradient switching and cardiac pulsations from electroencephalography (EEG) data recorded during functional magnetic resonance imaging (fMRI). Special emphases are directed upon the use of statistical metrics and metho...

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Détails bibliographiques
Auteurs principaux: Liu, Zhongming, de Zwart, Jacco A., van Gelderen, Peter, Kuo, Li-Wei, Duyn, Jeff H.
Format: Artigo
Langue:Inglês
Publié: 2011
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC3254729/
https://ncbi.nlm.nih.gov/pubmed/22036675
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2011.10.042
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