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White Matter fMRI Activation Cannot Be Treated as a Nuisance Regressor: Overcoming a Historical Blind Spot

Despite past controversies, increasing evidence has led to acceptance that white matter activity is detectable using functional magnetic resonance imaging (fMRI). In spite of this, advanced analytic methods continue to be published that reinforce a historic bias against white matter activation by us...

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Autores principales: Grajauskas, Lukas A., Frizzell, Tory, Song, Xiaowei, D’Arcy, Ryan C. N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787144/
https://www.ncbi.nlm.nih.gov/pubmed/31636527
http://dx.doi.org/10.3389/fnins.2019.01024
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author Grajauskas, Lukas A.
Frizzell, Tory
Song, Xiaowei
D’Arcy, Ryan C. N.
author_facet Grajauskas, Lukas A.
Frizzell, Tory
Song, Xiaowei
D’Arcy, Ryan C. N.
author_sort Grajauskas, Lukas A.
collection PubMed
description Despite past controversies, increasing evidence has led to acceptance that white matter activity is detectable using functional magnetic resonance imaging (fMRI). In spite of this, advanced analytic methods continue to be published that reinforce a historic bias against white matter activation by using it as a nuisance regressor. It is important that contemporary analyses overcome this blind spot in whole brain functional imaging, both to ensure that newly developed noise regression techniques are accurate, and to ensure that white matter, a vital and understudied part of the brain, is not ignored in functional neuroimaging studies.
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spelling pubmed-67871442019-10-21 White Matter fMRI Activation Cannot Be Treated as a Nuisance Regressor: Overcoming a Historical Blind Spot Grajauskas, Lukas A. Frizzell, Tory Song, Xiaowei D’Arcy, Ryan C. N. Front Neurosci Neuroscience Despite past controversies, increasing evidence has led to acceptance that white matter activity is detectable using functional magnetic resonance imaging (fMRI). In spite of this, advanced analytic methods continue to be published that reinforce a historic bias against white matter activation by using it as a nuisance regressor. It is important that contemporary analyses overcome this blind spot in whole brain functional imaging, both to ensure that newly developed noise regression techniques are accurate, and to ensure that white matter, a vital and understudied part of the brain, is not ignored in functional neuroimaging studies. Frontiers Media S.A. 2019-10-04 /pmc/articles/PMC6787144/ /pubmed/31636527 http://dx.doi.org/10.3389/fnins.2019.01024 Text en Copyright © 2019 Grajauskas, Frizzell, Song and D’Arcy. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Grajauskas, Lukas A.
Frizzell, Tory
Song, Xiaowei
D’Arcy, Ryan C. N.
White Matter fMRI Activation Cannot Be Treated as a Nuisance Regressor: Overcoming a Historical Blind Spot
title White Matter fMRI Activation Cannot Be Treated as a Nuisance Regressor: Overcoming a Historical Blind Spot
title_full White Matter fMRI Activation Cannot Be Treated as a Nuisance Regressor: Overcoming a Historical Blind Spot
title_fullStr White Matter fMRI Activation Cannot Be Treated as a Nuisance Regressor: Overcoming a Historical Blind Spot
title_full_unstemmed White Matter fMRI Activation Cannot Be Treated as a Nuisance Regressor: Overcoming a Historical Blind Spot
title_short White Matter fMRI Activation Cannot Be Treated as a Nuisance Regressor: Overcoming a Historical Blind Spot
title_sort white matter fmri activation cannot be treated as a nuisance regressor: overcoming a historical blind spot
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787144/
https://www.ncbi.nlm.nih.gov/pubmed/31636527
http://dx.doi.org/10.3389/fnins.2019.01024
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