Hand classification of fMRI ICA noise components

We present a practical “how-to” guide to help determine whether single-subject fMRI independent components (ICs) characterise structured noise or not. Manual identification of signal and noise after ICA decomposition is required for efficient data denoising: to train supervised algorithms, to check...

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Detalhes bibliográficos
Publicado no:Neuroimage
Main Authors: Griffanti, Ludovica, Douaud, Gwenaëlle, Bijsterbosch, Janine, Evangelisti, Stefania, Alfaro-Almagro, Fidel, Glasser, Matthew F., Duff, Eugene P., Fitzgibbon, Sean, Westphal, Robert, Carone, Davide, Beckmann, Christian F., Smith, Stephen M.
Formato: Artigo
Idioma:Inglês
Publicado em: Academic Press 2017
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5489418/
https://ncbi.nlm.nih.gov/pubmed/27989777
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2016.12.036
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