Using Temporal ICA to Selectively Remove Global Noise While Preserving Global Signal in Functional MRI Data

Temporal fluctuations in functional Magnetic Resonance Imaging (fMRI) have been profitably used to study brain activity and connectivity for over two decades. Unfortunately, fMRI data also contain structured temporal “noise” from a variety of sources, including subject motion, subject physiology, an...

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Detalhes bibliográficos
Publicado no:Neuroimage
Main Authors: Glasser, Matthew F., Coalson, Timothy S., Bijsterbosch, Janine D., Harrison, Samuel J., Harms, Michael P., Anticevic, Alan, Van Essen, David C., Smith, Stephen M.
Formato: Artigo
Idioma:Inglês
Publicado em: 2018
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6237431/
https://ncbi.nlm.nih.gov/pubmed/29753843
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2018.04.076
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