Removal of high frequency contamination from motion estimates in single-band fMRI saves data without biasing functional connectivity

Denoising fMRI data requires assessment of frame-to-frame head motion and removal of the biases motion introduces. This is usually done through analysis of the parameters calculated during retrospective head motion correction (i.e., ‘motion’ parameters). However, it is increasingly recognized that r...

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Publicado no:Neuroimage
Main Authors: Gratton, Caterina, Dworetsky, Ally, Coalson, Rebecca S., Adeyemo, Babatunde, Laumann, Timothy O., Wig, Gagan S., Kong, Tania S., Gratton, Gabriele, Fabiani, Monica, Barch, Deanna M., Tranel, Daniel, Miranda-Dominguez, Oscar, Fair, Damien A., Dosenbach, Nico U. F., Snyder, Abraham Z., Perlmutter, Joel S., Petersen, Steven E., Campbell, Meghan C.
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7308220/
https://ncbi.nlm.nih.gov/pubmed/32325210
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2020.116866
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