Changes in the topological organization of the default mode network in autism spectrum disorder
Neuroimaging studies have demonstrated that autism spectrum disorder (ASD) is accompanied by abnormal functional and structural features in specific brain regions of the default mode network (DMN). However, little is known about the alterations of the topological organization and the functional conn...
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description | Neuroimaging studies have demonstrated that autism spectrum disorder (ASD) is accompanied by abnormal functional and structural features in specific brain regions of the default mode network (DMN). However, little is known about the alterations of the topological organization and the functional connectivity (FC) of the DMN in ASD patients. Thirty-seven ASD patients and 38 healthy control (HC) participants underwent a resting-state functional magnetic resonance imaging scan. Twenty DMN subregions were specifically selected to construct the DMN architecture. We applied graph theory approaches to the topological configuration and compare the FC patterns of the DMN. We then examined the relationships between the neuroimaging measures of the DMN and clinical characteristics in patients with ASD. The current study revealed that both the ASD and HC participants showed a small-world regimen in the DMN; however there were no significant differences in global network measures. Compared with the HC group, the ASD group exhibited significantly decreased nodal centralities in the bilateral anterior medial prefrontal cortex and increased nodal centralities in the right lateral temporal cortex and the right retrosplenial cortex. Patients with ASD displayed significantly reduced and increased FC within the DMN. Our findings demonstrated that ASD patients showed a pattern of disrupted FC metrics and nodal network metrics in the DMN, which could be a potential biomarker for objective ASD diagnoses and for the level of autism spectrum traits.
Highlights
We used graph theoretical approaches and functional connectivity (FC) to investigate the topological configuration and FC patterns of the DMN in ASD.
The current study revealed that both ASD and HC participants exhibited small-world regimes in the DMN, however there were no significant differences in global network measures.
The ASD group showed abnormal nodal centralities in the bilateral aMPFC, the right LTC and the Rsp of the DMN, and ASD was characterized by altered FC patterns, including decreased and increased FC within the DMN. |
doi_str_mv | 10.1007/s11682-020-00312-8 |
format | Article |
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Highlights
We used graph theoretical approaches and functional connectivity (FC) to investigate the topological configuration and FC patterns of the DMN in ASD.
The current study revealed that both ASD and HC participants exhibited small-world regimes in the DMN, however there were no significant differences in global network measures.
The ASD group showed abnormal nodal centralities in the bilateral aMPFC, the right LTC and the Rsp of the DMN, and ASD was characterized by altered FC patterns, including decreased and increased FC within the DMN.</description><identifier>ISSN: 1931-7557</identifier><identifier>EISSN: 1931-7565</identifier><identifier>DOI: 10.1007/s11682-020-00312-8</identifier><identifier>PMID: 32737824</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Autism ; Autism Spectrum Disorder - diagnostic imaging ; Biomarkers ; Biomedical and Life Sciences ; Biomedicine ; Brain Mapping ; Configurations ; Cortex (temporal) ; Default Mode Network ; Functional magnetic resonance imaging ; Functional morphology ; Graph theory ; Humans ; Magnetic Resonance Imaging ; Medical imaging ; Neural networks ; Neural Pathways - diagnostic imaging ; Neuroimaging ; Neuropsychology ; Neuroradiology ; Neurosciences ; Original Research ; Prefrontal cortex ; Psychiatry ; Structure-function relationships ; Topology</subject><ispartof>Brain imaging and behavior, 2021-04, Vol.15 (2), p.1058-1067</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-721cffc4c3fdbaa667e94e6688ebbab10aa2ef1d63bc3822afabed870eca2d713</citedby><cites>FETCH-LOGICAL-c375t-721cffc4c3fdbaa667e94e6688ebbab10aa2ef1d63bc3822afabed870eca2d713</cites><orcidid>0000-0001-7377-382X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11682-020-00312-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11682-020-00312-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32737824$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chen, Liting</creatorcontrib><creatorcontrib>Chen, Yunmi</creatorcontrib><creatorcontrib>Zheng, Huang</creatorcontrib><creatorcontrib>Zhang, Bin</creatorcontrib><creatorcontrib>Wang, Fei</creatorcontrib><creatorcontrib>Fang, Jin</creatorcontrib><creatorcontrib>Li, Yueyue</creatorcontrib><creatorcontrib>Chen, Qiuyin</creatorcontrib><creatorcontrib>Zhang, Shuixing</creatorcontrib><title>Changes in the topological organization of the default mode network in autism spectrum disorder</title><title>Brain imaging and behavior</title><addtitle>Brain Imaging and Behavior</addtitle><addtitle>Brain Imaging Behav</addtitle><description>Neuroimaging studies have demonstrated that autism spectrum disorder (ASD) is accompanied by abnormal functional and structural features in specific brain regions of the default mode network (DMN). However, little is known about the alterations of the topological organization and the functional connectivity (FC) of the DMN in ASD patients. Thirty-seven ASD patients and 38 healthy control (HC) participants underwent a resting-state functional magnetic resonance imaging scan. Twenty DMN subregions were specifically selected to construct the DMN architecture. We applied graph theory approaches to the topological configuration and compare the FC patterns of the DMN. We then examined the relationships between the neuroimaging measures of the DMN and clinical characteristics in patients with ASD. The current study revealed that both the ASD and HC participants showed a small-world regimen in the DMN; however there were no significant differences in global network measures. Compared with the HC group, the ASD group exhibited significantly decreased nodal centralities in the bilateral anterior medial prefrontal cortex and increased nodal centralities in the right lateral temporal cortex and the right retrosplenial cortex. Patients with ASD displayed significantly reduced and increased FC within the DMN. Our findings demonstrated that ASD patients showed a pattern of disrupted FC metrics and nodal network metrics in the DMN, which could be a potential biomarker for objective ASD diagnoses and for the level of autism spectrum traits.
Highlights
We used graph theoretical approaches and functional connectivity (FC) to investigate the topological configuration and FC patterns of the DMN in ASD.
The current study revealed that both ASD and HC participants exhibited small-world regimes in the DMN, however there were no significant differences in global network measures.
The ASD group showed abnormal nodal centralities in the bilateral aMPFC, the right LTC and the Rsp of the DMN, and ASD was characterized by altered FC patterns, including decreased and increased FC within the DMN.</description><subject>Autism</subject><subject>Autism Spectrum Disorder - diagnostic imaging</subject><subject>Biomarkers</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Brain Mapping</subject><subject>Configurations</subject><subject>Cortex (temporal)</subject><subject>Default Mode Network</subject><subject>Functional magnetic resonance imaging</subject><subject>Functional morphology</subject><subject>Graph theory</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging</subject><subject>Medical imaging</subject><subject>Neural networks</subject><subject>Neural Pathways - diagnostic imaging</subject><subject>Neuroimaging</subject><subject>Neuropsychology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Original Research</subject><subject>Prefrontal cortex</subject><subject>Psychiatry</subject><subject>Structure-function relationships</subject><subject>Topology</subject><issn>1931-7557</issn><issn>1931-7565</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kE1r3DAQhkVJyW7T_IEegiCXXtzqw7bkY1iSNrDQS3sWY2m0cWJbG0kmpL--3uxmAz3kNIJ53nfEQ8gXzr5xxtT3xHmtRcEEKxiTXBT6A1nyRvJCVXV1cnxXakE-pXTPWFXqhp-ShRRKKi3KJTGrOxg3mGg30nyHNIdt6MOms9DTEDcwdn8hd2Gkwb_sHXqY-kyH4JCOmJ9CfNhlYcpdGmjaos1xGqjrUogO42fy0UOf8Pwwz8ifm-vfq5_F-teP29XVurBSVblQglvvbWmldy1AXStsSqxrrbFtoeUMQKDnrpatlVoI8NCi04qhBeEUl2fk6753G8PjhCmboUsW-x5GDFMyohSNUkrqHXr5H3ofpjjOvzOiYk3DtCrZTIk9ZWNIKaI329gNEJ8NZ2an3-z1m1m_edFv9By6OFRP7YDuGHn1PQNyD6R5NXuPb7ffqf0Ha3qSFA</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Chen, Liting</creator><creator>Chen, Yunmi</creator><creator>Zheng, Huang</creator><creator>Zhang, Bin</creator><creator>Wang, Fei</creator><creator>Fang, Jin</creator><creator>Li, Yueyue</creator><creator>Chen, Qiuyin</creator><creator>Zhang, Shuixing</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7377-382X</orcidid></search><sort><creationdate>20210401</creationdate><title>Changes in the topological organization of the default mode network in autism spectrum disorder</title><author>Chen, Liting ; Chen, Yunmi ; Zheng, Huang ; Zhang, Bin ; Wang, Fei ; Fang, Jin ; Li, Yueyue ; Chen, Qiuyin ; Zhang, Shuixing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-721cffc4c3fdbaa667e94e6688ebbab10aa2ef1d63bc3822afabed870eca2d713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Autism</topic><topic>Autism Spectrum Disorder - diagnostic imaging</topic><topic>Biomarkers</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Brain Mapping</topic><topic>Configurations</topic><topic>Cortex (temporal)</topic><topic>Default Mode Network</topic><topic>Functional magnetic resonance imaging</topic><topic>Functional morphology</topic><topic>Graph theory</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging</topic><topic>Medical imaging</topic><topic>Neural networks</topic><topic>Neural Pathways - diagnostic imaging</topic><topic>Neuroimaging</topic><topic>Neuropsychology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Original Research</topic><topic>Prefrontal cortex</topic><topic>Psychiatry</topic><topic>Structure-function relationships</topic><topic>Topology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Liting</creatorcontrib><creatorcontrib>Chen, Yunmi</creatorcontrib><creatorcontrib>Zheng, Huang</creatorcontrib><creatorcontrib>Zhang, Bin</creatorcontrib><creatorcontrib>Wang, Fei</creatorcontrib><creatorcontrib>Fang, Jin</creatorcontrib><creatorcontrib>Li, Yueyue</creatorcontrib><creatorcontrib>Chen, Qiuyin</creatorcontrib><creatorcontrib>Zhang, Shuixing</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Brain imaging and behavior</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Liting</au><au>Chen, Yunmi</au><au>Zheng, Huang</au><au>Zhang, Bin</au><au>Wang, Fei</au><au>Fang, Jin</au><au>Li, Yueyue</au><au>Chen, Qiuyin</au><au>Zhang, Shuixing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Changes in the topological organization of the default mode network in autism spectrum disorder</atitle><jtitle>Brain imaging and behavior</jtitle><stitle>Brain Imaging and Behavior</stitle><addtitle>Brain Imaging Behav</addtitle><date>2021-04-01</date><risdate>2021</risdate><volume>15</volume><issue>2</issue><spage>1058</spage><epage>1067</epage><pages>1058-1067</pages><issn>1931-7557</issn><eissn>1931-7565</eissn><abstract>Neuroimaging studies have demonstrated that autism spectrum disorder (ASD) is accompanied by abnormal functional and structural features in specific brain regions of the default mode network (DMN). However, little is known about the alterations of the topological organization and the functional connectivity (FC) of the DMN in ASD patients. Thirty-seven ASD patients and 38 healthy control (HC) participants underwent a resting-state functional magnetic resonance imaging scan. Twenty DMN subregions were specifically selected to construct the DMN architecture. We applied graph theory approaches to the topological configuration and compare the FC patterns of the DMN. We then examined the relationships between the neuroimaging measures of the DMN and clinical characteristics in patients with ASD. The current study revealed that both the ASD and HC participants showed a small-world regimen in the DMN; however there were no significant differences in global network measures. Compared with the HC group, the ASD group exhibited significantly decreased nodal centralities in the bilateral anterior medial prefrontal cortex and increased nodal centralities in the right lateral temporal cortex and the right retrosplenial cortex. Patients with ASD displayed significantly reduced and increased FC within the DMN. Our findings demonstrated that ASD patients showed a pattern of disrupted FC metrics and nodal network metrics in the DMN, which could be a potential biomarker for objective ASD diagnoses and for the level of autism spectrum traits.
Highlights
We used graph theoretical approaches and functional connectivity (FC) to investigate the topological configuration and FC patterns of the DMN in ASD.
The current study revealed that both ASD and HC participants exhibited small-world regimes in the DMN, however there were no significant differences in global network measures.
The ASD group showed abnormal nodal centralities in the bilateral aMPFC, the right LTC and the Rsp of the DMN, and ASD was characterized by altered FC patterns, including decreased and increased FC within the DMN.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>32737824</pmid><doi>10.1007/s11682-020-00312-8</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-7377-382X</orcidid></addata></record> |
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subjects | Autism Autism Spectrum Disorder - diagnostic imaging Biomarkers Biomedical and Life Sciences Biomedicine Brain Mapping Configurations Cortex (temporal) Default Mode Network Functional magnetic resonance imaging Functional morphology Graph theory Humans Magnetic Resonance Imaging Medical imaging Neural networks Neural Pathways - diagnostic imaging Neuroimaging Neuropsychology Neuroradiology Neurosciences Original Research Prefrontal cortex Psychiatry Structure-function relationships Topology |
title | Changes in the topological organization of the default mode network in autism spectrum disorder |
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