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Origins of the Resting-State Functional MRI Signal: Potential Limitations of the “Neurocentric” Model
Resting-state functional connectivity (rsFC) is emerging as a research tool for systems and clinical neuroscience. The mechanism underlying resting-state functional MRI (rsfMRI) signal, however, remains incompletely understood. A widely held assumption is that the spontaneous fluctuations in blood o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6819315/ https://www.ncbi.nlm.nih.gov/pubmed/31708731 http://dx.doi.org/10.3389/fnins.2019.01136 |
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author | Lu, Hanbing Jaime, Saul Yang, Yihong |
author_facet | Lu, Hanbing Jaime, Saul Yang, Yihong |
author_sort | Lu, Hanbing |
collection | PubMed |
description | Resting-state functional connectivity (rsFC) is emerging as a research tool for systems and clinical neuroscience. The mechanism underlying resting-state functional MRI (rsfMRI) signal, however, remains incompletely understood. A widely held assumption is that the spontaneous fluctuations in blood oxygenation level-dependent (BOLD) signal reflect ongoing neuronal processes (herein called “neurocentric” model). In support of this model, evidence from human and animal studies collectively reveals that the spatial synchrony of spontaneously occurring electrophysiological signal recapitulates BOLD rsFC networks. Two recent experiments from independent labs designed to specifically examine neuronal origins of rsFC, however, suggest that spontaneously occurring neuronal events, as assessed by multiunit activity or local field potential (LFP), although statistically significant, explain only a small portion (∼10%) of variance in resting-state BOLD fluctuations. These two studies, although each with its own limitations, suggest that the spontaneous fluctuations in rsfMRI, may have complex cellular origins, and the “neurocentric” model may not apply to all brain regions. |
format | Online Article Text |
id | pubmed-6819315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68193152019-11-08 Origins of the Resting-State Functional MRI Signal: Potential Limitations of the “Neurocentric” Model Lu, Hanbing Jaime, Saul Yang, Yihong Front Neurosci Neuroscience Resting-state functional connectivity (rsFC) is emerging as a research tool for systems and clinical neuroscience. The mechanism underlying resting-state functional MRI (rsfMRI) signal, however, remains incompletely understood. A widely held assumption is that the spontaneous fluctuations in blood oxygenation level-dependent (BOLD) signal reflect ongoing neuronal processes (herein called “neurocentric” model). In support of this model, evidence from human and animal studies collectively reveals that the spatial synchrony of spontaneously occurring electrophysiological signal recapitulates BOLD rsFC networks. Two recent experiments from independent labs designed to specifically examine neuronal origins of rsFC, however, suggest that spontaneously occurring neuronal events, as assessed by multiunit activity or local field potential (LFP), although statistically significant, explain only a small portion (∼10%) of variance in resting-state BOLD fluctuations. These two studies, although each with its own limitations, suggest that the spontaneous fluctuations in rsfMRI, may have complex cellular origins, and the “neurocentric” model may not apply to all brain regions. Frontiers Media S.A. 2019-10-23 /pmc/articles/PMC6819315/ /pubmed/31708731 http://dx.doi.org/10.3389/fnins.2019.01136 Text en Copyright © 2019 Lu, Jaime and Yang. 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 Lu, Hanbing Jaime, Saul Yang, Yihong Origins of the Resting-State Functional MRI Signal: Potential Limitations of the “Neurocentric” Model |
title | Origins of the Resting-State Functional MRI Signal: Potential Limitations of the “Neurocentric” Model |
title_full | Origins of the Resting-State Functional MRI Signal: Potential Limitations of the “Neurocentric” Model |
title_fullStr | Origins of the Resting-State Functional MRI Signal: Potential Limitations of the “Neurocentric” Model |
title_full_unstemmed | Origins of the Resting-State Functional MRI Signal: Potential Limitations of the “Neurocentric” Model |
title_short | Origins of the Resting-State Functional MRI Signal: Potential Limitations of the “Neurocentric” Model |
title_sort | origins of the resting-state functional mri signal: potential limitations of the “neurocentric” model |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6819315/ https://www.ncbi.nlm.nih.gov/pubmed/31708731 http://dx.doi.org/10.3389/fnins.2019.01136 |
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