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Development, validation, and comparison of ICA-based gradient artifact reduction algorithms for simultaneous EEG-spiral in/out and echo-planar fMRI recordings

EEG data acquired in an MRI scanner are heavily contaminated by gradient artifacts that can significantly compromise signal quality. We developed two new methods based on Independent Component Analysis (ICA) for reducing gradient artifacts from spiral in-out and echo-planar pulse sequences at 3T, an...

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Bibliografski detalji
Glavni autori: Ryali, S, Glover, GH, Chang, C, Menon, V
Format: Artigo
Jezik:Inglês
Izdano: 2009
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC2745974/
https://ncbi.nlm.nih.gov/pubmed/19580873
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2009.06.072
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