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Temporal transitions of spontaneous brain activity

Spontaneous brain activity, typically investigated using resting-state fMRI (rsfMRI), provides a measure of inter-areal resting-state functional connectivity (RSFC). Although it has been established that RSFC is non-stationary, previous dynamic rsfMRI studies mainly focused on revealing the spatial...

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Detalles Bibliográficos
Autores principales: Ma, Zhiwei, Zhang, Nanyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5843406/
https://www.ncbi.nlm.nih.gov/pubmed/29517975
http://dx.doi.org/10.7554/eLife.33562
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author Ma, Zhiwei
Zhang, Nanyin
author_facet Ma, Zhiwei
Zhang, Nanyin
author_sort Ma, Zhiwei
collection PubMed
description Spontaneous brain activity, typically investigated using resting-state fMRI (rsfMRI), provides a measure of inter-areal resting-state functional connectivity (RSFC). Although it has been established that RSFC is non-stationary, previous dynamic rsfMRI studies mainly focused on revealing the spatial characteristics of dynamic RSFC patterns, but the temporal relationship between these RSFC patterns remains elusive. Here we investigated the temporal organization of characteristic RSFC patterns in awake rats and humans. We found that transitions between RSFC patterns were not random but followed specific sequential orders. The organization of RSFC pattern transitions was further analyzed using graph theory, and pivotal RSFC patterns in transitions were identified. This study has demonstrated that spontaneous brain activity is not only nonrandom spatially, but also nonrandom temporally, and this feature is well conserved between rodents and humans. These results offer new insights into understanding the spatiotemporal dynamics of spontaneous activity in the mammalian brain.
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spelling pubmed-58434062018-03-09 Temporal transitions of spontaneous brain activity Ma, Zhiwei Zhang, Nanyin eLife Neuroscience Spontaneous brain activity, typically investigated using resting-state fMRI (rsfMRI), provides a measure of inter-areal resting-state functional connectivity (RSFC). Although it has been established that RSFC is non-stationary, previous dynamic rsfMRI studies mainly focused on revealing the spatial characteristics of dynamic RSFC patterns, but the temporal relationship between these RSFC patterns remains elusive. Here we investigated the temporal organization of characteristic RSFC patterns in awake rats and humans. We found that transitions between RSFC patterns were not random but followed specific sequential orders. The organization of RSFC pattern transitions was further analyzed using graph theory, and pivotal RSFC patterns in transitions were identified. This study has demonstrated that spontaneous brain activity is not only nonrandom spatially, but also nonrandom temporally, and this feature is well conserved between rodents and humans. These results offer new insights into understanding the spatiotemporal dynamics of spontaneous activity in the mammalian brain. eLife Sciences Publications, Ltd 2018-03-08 /pmc/articles/PMC5843406/ /pubmed/29517975 http://dx.doi.org/10.7554/eLife.33562 Text en © 2018, Ma et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Ma, Zhiwei
Zhang, Nanyin
Temporal transitions of spontaneous brain activity
title Temporal transitions of spontaneous brain activity
title_full Temporal transitions of spontaneous brain activity
title_fullStr Temporal transitions of spontaneous brain activity
title_full_unstemmed Temporal transitions of spontaneous brain activity
title_short Temporal transitions of spontaneous brain activity
title_sort temporal transitions of spontaneous brain activity
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5843406/
https://www.ncbi.nlm.nih.gov/pubmed/29517975
http://dx.doi.org/10.7554/eLife.33562
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