Atypical Resting-State Functional Connectivity of Intra/Inter-Sensory Networks Is Related to Symptom Severity in Young Boys With Autism Spectrum Disorder
Autism spectrum disorder (ASD) has been reported to have altered brain connectivity patterns in sensory networks, assessed using resting-state functional magnetic imaging (rs-fMRI). However, the results have been inconsistent. Herein, we aimed to systematically explore the interaction between brain...
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| Format: | Article |
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Frontiers Media S.A.
2021-03-01
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| Series: | Frontiers in Physiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2021.626338/full |
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| author | Jia Wang Xiaomin Wang Xiaomin Wang Runshi Wang Runshi Wang Xujun Duan Xujun Duan Heng Chen Changchun He Changchun He Jinhe Zhai Lijie Wu Huafu Chen Huafu Chen |
| author_facet | Jia Wang Xiaomin Wang Xiaomin Wang Runshi Wang Runshi Wang Xujun Duan Xujun Duan Heng Chen Changchun He Changchun He Jinhe Zhai Lijie Wu Huafu Chen Huafu Chen |
| author_sort | Jia Wang |
| collection | DOAJ |
| description | Autism spectrum disorder (ASD) has been reported to have altered brain connectivity patterns in sensory networks, assessed using resting-state functional magnetic imaging (rs-fMRI). However, the results have been inconsistent. Herein, we aimed to systematically explore the interaction between brain sensory networks in 3–7-year-old boys with ASD (N = 29) using independent component analysis (ICA). Participants were matched for age, head motion, and handedness in the MRI scanner. We estimated the between-group differences in spatial patterns of the sensory resting-state networks (RSNs). Subsequently, the time series of each RSN were extracted from each participant’s preprocessed data and associated estimates of interaction strength between intra- and internetwork functional connectivity (FC) and symptom severity in children with ASD. The auditory network (AN), higher visual network (HVN), primary visual network (PVN), and sensorimotor network (SMN) were identified. Relative to TDs, individuals with ASD showed increased FC in the AN and SMN, respectively. Higher positive connectivity between the PVN and HVN in the ASD group was shown. The strength of such connections was associated with symptom severity. The current study might suggest that the abnormal connectivity patterns of the sensory network regions may underlie impaired higher-order multisensory integration in ASD children, and be associated with social impairments. |
| first_indexed | 2024-12-14T01:01:01Z |
| format | Article |
| id | doaj.art-944cd63a409f4d84b60fc3bc3c651fc5 |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-12-14T01:01:01Z |
| publishDate | 2021-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-944cd63a409f4d84b60fc3bc3c651fc52022-12-21T23:23:16ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2021-03-011210.3389/fphys.2021.626338626338Atypical Resting-State Functional Connectivity of Intra/Inter-Sensory Networks Is Related to Symptom Severity in Young Boys With Autism Spectrum DisorderJia Wang0Xiaomin Wang1Xiaomin Wang2Runshi Wang3Runshi Wang4Xujun Duan5Xujun Duan6Heng Chen7Changchun He8Changchun He9Jinhe Zhai10Lijie Wu11Huafu Chen12Huafu Chen13Department of Children’s and Adolescent Health, Public Health College of Harbin Medical University, Harbin, ChinaDepartment of Children’s and Adolescent Health, Public Health College of Harbin Medical University, Harbin, ChinaPediatric Health Care Section, Ningbo Women & Children’s Hospital, Ningbo, ChinaMinistry of Education (MOE), Key Lab for NeuroInformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaMinistry of Education (MOE), Key Lab for NeuroInformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Medicine, Guizhou University, Guiyang, ChinaMinistry of Education (MOE), Key Lab for NeuroInformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaDepartment of Children’s and Adolescent Health, Public Health College of Harbin Medical University, Harbin, ChinaDepartment of Children’s and Adolescent Health, Public Health College of Harbin Medical University, Harbin, ChinaMinistry of Education (MOE), Key Lab for NeuroInformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaAutism spectrum disorder (ASD) has been reported to have altered brain connectivity patterns in sensory networks, assessed using resting-state functional magnetic imaging (rs-fMRI). However, the results have been inconsistent. Herein, we aimed to systematically explore the interaction between brain sensory networks in 3–7-year-old boys with ASD (N = 29) using independent component analysis (ICA). Participants were matched for age, head motion, and handedness in the MRI scanner. We estimated the between-group differences in spatial patterns of the sensory resting-state networks (RSNs). Subsequently, the time series of each RSN were extracted from each participant’s preprocessed data and associated estimates of interaction strength between intra- and internetwork functional connectivity (FC) and symptom severity in children with ASD. The auditory network (AN), higher visual network (HVN), primary visual network (PVN), and sensorimotor network (SMN) were identified. Relative to TDs, individuals with ASD showed increased FC in the AN and SMN, respectively. Higher positive connectivity between the PVN and HVN in the ASD group was shown. The strength of such connections was associated with symptom severity. The current study might suggest that the abnormal connectivity patterns of the sensory network regions may underlie impaired higher-order multisensory integration in ASD children, and be associated with social impairments.https://www.frontiersin.org/articles/10.3389/fphys.2021.626338/fullautism spectrum disorderresting-state functional magnetic imagingrest state networkauditory networksensorimotor networkvisual network |
| spellingShingle | Jia Wang Xiaomin Wang Xiaomin Wang Runshi Wang Runshi Wang Xujun Duan Xujun Duan Heng Chen Changchun He Changchun He Jinhe Zhai Lijie Wu Huafu Chen Huafu Chen Atypical Resting-State Functional Connectivity of Intra/Inter-Sensory Networks Is Related to Symptom Severity in Young Boys With Autism Spectrum Disorder Frontiers in Physiology autism spectrum disorder resting-state functional magnetic imaging rest state network auditory network sensorimotor network visual network |
| title | Atypical Resting-State Functional Connectivity of Intra/Inter-Sensory Networks Is Related to Symptom Severity in Young Boys With Autism Spectrum Disorder |
| title_full | Atypical Resting-State Functional Connectivity of Intra/Inter-Sensory Networks Is Related to Symptom Severity in Young Boys With Autism Spectrum Disorder |
| title_fullStr | Atypical Resting-State Functional Connectivity of Intra/Inter-Sensory Networks Is Related to Symptom Severity in Young Boys With Autism Spectrum Disorder |
| title_full_unstemmed | Atypical Resting-State Functional Connectivity of Intra/Inter-Sensory Networks Is Related to Symptom Severity in Young Boys With Autism Spectrum Disorder |
| title_short | Atypical Resting-State Functional Connectivity of Intra/Inter-Sensory Networks Is Related to Symptom Severity in Young Boys With Autism Spectrum Disorder |
| title_sort | atypical resting state functional connectivity of intra inter sensory networks is related to symptom severity in young boys with autism spectrum disorder |
| topic | autism spectrum disorder resting-state functional magnetic imaging rest state network auditory network sensorimotor network visual network |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2021.626338/full |
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