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Resting-State Time-Varying Analysis Reveals Aberrant Variations of Functional Connectivity in Autism
Recently, studies based on time-varying functional connectivity have unveiled brain states diversity in some neuropsychiatric disorders, such as schizophrenia and major depressive disorder. However, time-varying functional connectivity analysis of resting-state functional Magnetic Resonance Imaging...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5025431/ https://www.ncbi.nlm.nih.gov/pubmed/27695408 http://dx.doi.org/10.3389/fnhum.2016.00463 |
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author | Yao, Zhijun Hu, Bin Xie, Yuanwei Zheng, Fang Liu, Guangyao Chen, Xuejiao Zheng, Weihao |
author_facet | Yao, Zhijun Hu, Bin Xie, Yuanwei Zheng, Fang Liu, Guangyao Chen, Xuejiao Zheng, Weihao |
author_sort | Yao, Zhijun |
collection | PubMed |
description | Recently, studies based on time-varying functional connectivity have unveiled brain states diversity in some neuropsychiatric disorders, such as schizophrenia and major depressive disorder. However, time-varying functional connectivity analysis of resting-state functional Magnetic Resonance Imaging (fMRI) have been rarely performed on the Autism Spectrum Disorder (ASD). Hence, we performed time-varying connectivity analysis on resting-state fMRI data to investigate brain states mutation in ASD children. ASD showed an imbalance of connectivity state and aberrant ratio of connectivity with different strengths in the whole brain network, and decreased connectivity associated precuneus/posterior cingulate gyrus with medial prefrontal gyrus in default mode network. As compared to typical development children, weak relevance condition (the strength of a large number of connectivities in the state was less than means minus standard deviation of all connection strength) was maintained for a longer time between brain areas of ASD children, and ratios of weak connectivity in brain states varied dramatically in the ASD. In the ASD, the abnormal brain state might be related to repetitive behaviors and stereotypical interests, and macroscopically reflect disruption of gamma-aminobutyric acid at the cellular level. The detection of brain states based on time-varying functional connectivity analysis of resting-state fMRI might be conducive for diagnosis and early intervention of ASD before obvious clinical symptoms. |
format | Online Article Text |
id | pubmed-5025431 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50254312016-09-30 Resting-State Time-Varying Analysis Reveals Aberrant Variations of Functional Connectivity in Autism Yao, Zhijun Hu, Bin Xie, Yuanwei Zheng, Fang Liu, Guangyao Chen, Xuejiao Zheng, Weihao Front Hum Neurosci Neuroscience Recently, studies based on time-varying functional connectivity have unveiled brain states diversity in some neuropsychiatric disorders, such as schizophrenia and major depressive disorder. However, time-varying functional connectivity analysis of resting-state functional Magnetic Resonance Imaging (fMRI) have been rarely performed on the Autism Spectrum Disorder (ASD). Hence, we performed time-varying connectivity analysis on resting-state fMRI data to investigate brain states mutation in ASD children. ASD showed an imbalance of connectivity state and aberrant ratio of connectivity with different strengths in the whole brain network, and decreased connectivity associated precuneus/posterior cingulate gyrus with medial prefrontal gyrus in default mode network. As compared to typical development children, weak relevance condition (the strength of a large number of connectivities in the state was less than means minus standard deviation of all connection strength) was maintained for a longer time between brain areas of ASD children, and ratios of weak connectivity in brain states varied dramatically in the ASD. In the ASD, the abnormal brain state might be related to repetitive behaviors and stereotypical interests, and macroscopically reflect disruption of gamma-aminobutyric acid at the cellular level. The detection of brain states based on time-varying functional connectivity analysis of resting-state fMRI might be conducive for diagnosis and early intervention of ASD before obvious clinical symptoms. Frontiers Media S.A. 2016-09-16 /pmc/articles/PMC5025431/ /pubmed/27695408 http://dx.doi.org/10.3389/fnhum.2016.00463 Text en Copyright © 2016 Yao, Hu, Xie, Zheng, Liu, Chen and Zheng. 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) or licensor 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 Yao, Zhijun Hu, Bin Xie, Yuanwei Zheng, Fang Liu, Guangyao Chen, Xuejiao Zheng, Weihao Resting-State Time-Varying Analysis Reveals Aberrant Variations of Functional Connectivity in Autism |
title | Resting-State Time-Varying Analysis Reveals Aberrant Variations of Functional Connectivity in Autism |
title_full | Resting-State Time-Varying Analysis Reveals Aberrant Variations of Functional Connectivity in Autism |
title_fullStr | Resting-State Time-Varying Analysis Reveals Aberrant Variations of Functional Connectivity in Autism |
title_full_unstemmed | Resting-State Time-Varying Analysis Reveals Aberrant Variations of Functional Connectivity in Autism |
title_short | Resting-State Time-Varying Analysis Reveals Aberrant Variations of Functional Connectivity in Autism |
title_sort | resting-state time-varying analysis reveals aberrant variations of functional connectivity in autism |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5025431/ https://www.ncbi.nlm.nih.gov/pubmed/27695408 http://dx.doi.org/10.3389/fnhum.2016.00463 |
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