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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Publicado en:Neuroimage
Autores principales: 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
Lenguaje:Inglês
Publicado: 2018
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Article
Acceso en línea: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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