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Analysis of Brain Functional Connectivity Neural Circuits in Children With Autism Based on Persistent Homology
Autism spectrum disorder (ASD) is a complex neuropsychiatric disorder with a complex and unknown etiology. Statistics demonstrate that the number of people diagnosed with ASD is increasing in countries around the world. Currently, although many neuroimaging studies indicate that ASD is characterized...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473898/ https://www.ncbi.nlm.nih.gov/pubmed/34588970 http://dx.doi.org/10.3389/fnhum.2021.745671 |
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author | Liang, Di Xia, Shengxiang Zhang, Xianfu Zhang, Weiwei |
author_facet | Liang, Di Xia, Shengxiang Zhang, Xianfu Zhang, Weiwei |
author_sort | Liang, Di |
collection | PubMed |
description | Autism spectrum disorder (ASD) is a complex neuropsychiatric disorder with a complex and unknown etiology. Statistics demonstrate that the number of people diagnosed with ASD is increasing in countries around the world. Currently, although many neuroimaging studies indicate that ASD is characterized by abnormal functional connectivity (FC) patterns within brain networks rather than local functional or structural abnormalities, the FC characteristics of ASD are still poorly understood. In this study, a Vietoris-Rips (VR) complex filtration model of the brain functional network was established by using resting-state functional magnetic resonance imaging (fMRI) data of children aged 6–13 years old [including 54 ASD patients and 52 typical development (TD) controls] from the Autism Brain Imaging Data Exchange (ABIDE) public database. VR complex filtration barcodes are calculated by using persistent homology to describe the changes in the FC neural circuits of brain networks. The number of FC neural circuits with different length ranges at different threshold values is calculated by using the barcodes, the different brain regions participating in FC neural circuits are discussed, and the connectivity characteristics of brain FC neural circuits in the two groups are compared and analyzed. Our results show that the number of FC neural circuits with lengths of 8–12 is significantly decreased in the ASD group compared with the TD control group at threshold values of 0.7, 0.8 and 0.9, and there is no significant difference in the number of FC neural circuits with lengths of 4–7 and 13–16 and lengths 16. When the thresholds are 0.7, 0.8, and 0.9, the number of FC neural circuits in some brain regions, such as the right orbital part of the superior frontal gyrus, the left supplementary motor area, the left hippocampus, and the right caudate nucleus, involved in the study is significantly decreased in the ASD group compared with the TD control group. The results of this study indicate that there are significant differences in the FC neural circuits of brain networks in the ASD group compared with the TD control group. |
format | Online Article Text |
id | pubmed-8473898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84738982021-09-28 Analysis of Brain Functional Connectivity Neural Circuits in Children With Autism Based on Persistent Homology Liang, Di Xia, Shengxiang Zhang, Xianfu Zhang, Weiwei Front Hum Neurosci Human Neuroscience Autism spectrum disorder (ASD) is a complex neuropsychiatric disorder with a complex and unknown etiology. Statistics demonstrate that the number of people diagnosed with ASD is increasing in countries around the world. Currently, although many neuroimaging studies indicate that ASD is characterized by abnormal functional connectivity (FC) patterns within brain networks rather than local functional or structural abnormalities, the FC characteristics of ASD are still poorly understood. In this study, a Vietoris-Rips (VR) complex filtration model of the brain functional network was established by using resting-state functional magnetic resonance imaging (fMRI) data of children aged 6–13 years old [including 54 ASD patients and 52 typical development (TD) controls] from the Autism Brain Imaging Data Exchange (ABIDE) public database. VR complex filtration barcodes are calculated by using persistent homology to describe the changes in the FC neural circuits of brain networks. The number of FC neural circuits with different length ranges at different threshold values is calculated by using the barcodes, the different brain regions participating in FC neural circuits are discussed, and the connectivity characteristics of brain FC neural circuits in the two groups are compared and analyzed. Our results show that the number of FC neural circuits with lengths of 8–12 is significantly decreased in the ASD group compared with the TD control group at threshold values of 0.7, 0.8 and 0.9, and there is no significant difference in the number of FC neural circuits with lengths of 4–7 and 13–16 and lengths 16. When the thresholds are 0.7, 0.8, and 0.9, the number of FC neural circuits in some brain regions, such as the right orbital part of the superior frontal gyrus, the left supplementary motor area, the left hippocampus, and the right caudate nucleus, involved in the study is significantly decreased in the ASD group compared with the TD control group. The results of this study indicate that there are significant differences in the FC neural circuits of brain networks in the ASD group compared with the TD control group. Frontiers Media S.A. 2021-09-13 /pmc/articles/PMC8473898/ /pubmed/34588970 http://dx.doi.org/10.3389/fnhum.2021.745671 Text en Copyright © 2021 Liang, Xia, Zhang and Zhang. https://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 | Human Neuroscience Liang, Di Xia, Shengxiang Zhang, Xianfu Zhang, Weiwei Analysis of Brain Functional Connectivity Neural Circuits in Children With Autism Based on Persistent Homology |
title | Analysis of Brain Functional Connectivity Neural Circuits in Children With Autism Based on Persistent Homology |
title_full | Analysis of Brain Functional Connectivity Neural Circuits in Children With Autism Based on Persistent Homology |
title_fullStr | Analysis of Brain Functional Connectivity Neural Circuits in Children With Autism Based on Persistent Homology |
title_full_unstemmed | Analysis of Brain Functional Connectivity Neural Circuits in Children With Autism Based on Persistent Homology |
title_short | Analysis of Brain Functional Connectivity Neural Circuits in Children With Autism Based on Persistent Homology |
title_sort | analysis of brain functional connectivity neural circuits in children with autism based on persistent homology |
topic | Human Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473898/ https://www.ncbi.nlm.nih.gov/pubmed/34588970 http://dx.doi.org/10.3389/fnhum.2021.745671 |
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