Neural underpinning of a respiration-associated resting-state fMRI network

Respiration can induce motion and CO2 fluctuation during resting-state fMRI (rsfMRI) scans, which will lead to non-neural artifacts in the rsfMRI signal. In the meantime, as a crucial physiologic process, respiration can directly drive neural activity change in the brain, and may thereby modulate th...

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Main Authors: Wenyu Tu, Nanyin Zhang
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2022-10-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/81555
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author Wenyu Tu
Nanyin Zhang
author_facet Wenyu Tu
Nanyin Zhang
author_sort Wenyu Tu
collection DOAJ
description Respiration can induce motion and CO2 fluctuation during resting-state fMRI (rsfMRI) scans, which will lead to non-neural artifacts in the rsfMRI signal. In the meantime, as a crucial physiologic process, respiration can directly drive neural activity change in the brain, and may thereby modulate the rsfMRI signal. Nonetheless, this potential neural component in the respiration–fMRI relationship is largely unexplored. To elucidate this issue, here we simultaneously recorded the electrophysiology, rsfMRI, and respiration signals in rats. Our data show that respiration is indeed associated with neural activity changes, evidenced by a phase-locking relationship between slow respiration variations and the gamma-band power of the electrophysiological signal recorded in the anterior cingulate cortex. Intriguingly, slow respiration variations are also linked to a characteristic rsfMRI network, which is mediated by gamma-band neural activity. In addition, this respiration-related brain network disappears when brain-wide neural activity is silenced at an isoelectrical state, while the respiration is maintained, further confirming the necessary role of neural activity in this network. Taken together, this study identifies a respiration-related brain network underpinned by neural activity, which represents a novel component in the respiration–rsfMRI relationship that is distinct from respiration-related rsfMRI artifacts. It opens a new avenue for investigating the interactions between respiration, neural activity, and resting-state brain networks in both healthy and diseased conditions.
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spelling doaj.art-d50eda2ad17f47f2b0e6e026da9778582022-12-22T02:28:16ZengeLife Sciences Publications LtdeLife2050-084X2022-10-011110.7554/eLife.81555Neural underpinning of a respiration-associated resting-state fMRI networkWenyu Tu0https://orcid.org/0000-0003-3480-2098Nanyin Zhang1https://orcid.org/0000-0002-5824-9058The Neuroscience Graduate Program, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, United States; Center for Neurotechnology in Mental Health Research, The Pennsylvania State University, University Park, United StatesThe Neuroscience Graduate Program, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, United States; Center for Neurotechnology in Mental Health Research, The Pennsylvania State University, University Park, United States; Department of Biomedical Engineering, The Pennsylvania State University, University Park, United StatesRespiration can induce motion and CO2 fluctuation during resting-state fMRI (rsfMRI) scans, which will lead to non-neural artifacts in the rsfMRI signal. In the meantime, as a crucial physiologic process, respiration can directly drive neural activity change in the brain, and may thereby modulate the rsfMRI signal. Nonetheless, this potential neural component in the respiration–fMRI relationship is largely unexplored. To elucidate this issue, here we simultaneously recorded the electrophysiology, rsfMRI, and respiration signals in rats. Our data show that respiration is indeed associated with neural activity changes, evidenced by a phase-locking relationship between slow respiration variations and the gamma-band power of the electrophysiological signal recorded in the anterior cingulate cortex. Intriguingly, slow respiration variations are also linked to a characteristic rsfMRI network, which is mediated by gamma-band neural activity. In addition, this respiration-related brain network disappears when brain-wide neural activity is silenced at an isoelectrical state, while the respiration is maintained, further confirming the necessary role of neural activity in this network. Taken together, this study identifies a respiration-related brain network underpinned by neural activity, which represents a novel component in the respiration–rsfMRI relationship that is distinct from respiration-related rsfMRI artifacts. It opens a new avenue for investigating the interactions between respiration, neural activity, and resting-state brain networks in both healthy and diseased conditions.https://elifesciences.org/articles/81555respirationresting-state fMRIelectrophysiologyratphysiological artifactRVT
spellingShingle Wenyu Tu
Nanyin Zhang
Neural underpinning of a respiration-associated resting-state fMRI network
eLife
respiration
resting-state fMRI
electrophysiology
rat
physiological artifact
RVT
title Neural underpinning of a respiration-associated resting-state fMRI network
title_full Neural underpinning of a respiration-associated resting-state fMRI network
title_fullStr Neural underpinning of a respiration-associated resting-state fMRI network
title_full_unstemmed Neural underpinning of a respiration-associated resting-state fMRI network
title_short Neural underpinning of a respiration-associated resting-state fMRI network
title_sort neural underpinning of a respiration associated resting state fmri network
topic respiration
resting-state fMRI
electrophysiology
rat
physiological artifact
RVT
url https://elifesciences.org/articles/81555
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