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Arousal Contributions to Resting-State fMRI Connectivity and Dynamics

Resting-state functional magnetic resonance imaging (rsfMRI) is being widely used for charting brain connectivity and dynamics in healthy and diseased brains. However, the resting state paradigm allows an unconstrained fluctuation of brain arousal, which may have profound effects on resting-state fM...

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Detalles Bibliográficos
Autores principales: Gu, Yameng, Han, Feng, Liu, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848024/
https://www.ncbi.nlm.nih.gov/pubmed/31749680
http://dx.doi.org/10.3389/fnins.2019.01190
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author Gu, Yameng
Han, Feng
Liu, Xiao
author_facet Gu, Yameng
Han, Feng
Liu, Xiao
author_sort Gu, Yameng
collection PubMed
description Resting-state functional magnetic resonance imaging (rsfMRI) is being widely used for charting brain connectivity and dynamics in healthy and diseased brains. However, the resting state paradigm allows an unconstrained fluctuation of brain arousal, which may have profound effects on resting-state fMRI signals and associated connectivity/dynamic metrics. Here, we review current understandings of the relationship between resting-state fMRI and brain arousal, in particular the effect of a recently discovered event of arousal modulation on resting-state fMRI. We further discuss potential implications of arousal-related fMRI modulation with a focus on its potential role in mediating spurious correlations between resting-state connectivity/dynamics with physiology and behavior. Multiple hypotheses are formulated based on existing evidence and remain to be tested by future studies.
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spelling pubmed-68480242019-11-20 Arousal Contributions to Resting-State fMRI Connectivity and Dynamics Gu, Yameng Han, Feng Liu, Xiao Front Neurosci Neuroscience Resting-state functional magnetic resonance imaging (rsfMRI) is being widely used for charting brain connectivity and dynamics in healthy and diseased brains. However, the resting state paradigm allows an unconstrained fluctuation of brain arousal, which may have profound effects on resting-state fMRI signals and associated connectivity/dynamic metrics. Here, we review current understandings of the relationship between resting-state fMRI and brain arousal, in particular the effect of a recently discovered event of arousal modulation on resting-state fMRI. We further discuss potential implications of arousal-related fMRI modulation with a focus on its potential role in mediating spurious correlations between resting-state connectivity/dynamics with physiology and behavior. Multiple hypotheses are formulated based on existing evidence and remain to be tested by future studies. Frontiers Media S.A. 2019-11-05 /pmc/articles/PMC6848024/ /pubmed/31749680 http://dx.doi.org/10.3389/fnins.2019.01190 Text en Copyright © 2019 Gu, Han and Liu. 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
Gu, Yameng
Han, Feng
Liu, Xiao
Arousal Contributions to Resting-State fMRI Connectivity and Dynamics
title Arousal Contributions to Resting-State fMRI Connectivity and Dynamics
title_full Arousal Contributions to Resting-State fMRI Connectivity and Dynamics
title_fullStr Arousal Contributions to Resting-State fMRI Connectivity and Dynamics
title_full_unstemmed Arousal Contributions to Resting-State fMRI Connectivity and Dynamics
title_short Arousal Contributions to Resting-State fMRI Connectivity and Dynamics
title_sort arousal contributions to resting-state fmri connectivity and dynamics
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848024/
https://www.ncbi.nlm.nih.gov/pubmed/31749680
http://dx.doi.org/10.3389/fnins.2019.01190
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