Functional Networks Abnormalities in Autism Spectrum Disorder: Age-Related Hypo and Hyper Connectivity

Autism spectrum disorder (ASD) is a developmental disorder characterized by defects in social interaction. The past functional connectivity studies using resting-state fMRI have found both patterns of hypo-connectivity and hyper-connectivity in ASD and proposed the age as an important factor on func...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Brain topography 2021-05, Vol.34 (3), p.306-322
Hauptverfasser: Haghighat, Hossein, Mirzarezaee, Mitra, Araabi, Babak Nadjar, Khadem, Ali
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 322
container_issue 3
container_start_page 306
container_title Brain topography
container_volume 34
creator Haghighat, Hossein
Mirzarezaee, Mitra
Araabi, Babak Nadjar
Khadem, Ali
description Autism spectrum disorder (ASD) is a developmental disorder characterized by defects in social interaction. The past functional connectivity studies using resting-state fMRI have found both patterns of hypo-connectivity and hyper-connectivity in ASD and proposed the age as an important factor on functional connectivity disorders. However, this influence is not clearly characterized yet. Previous studies have often examined the functional connectivity disorders in particular brain regions in an age group or a mixture of age groups. The present study compares whole-brain within-connectivity and between-connectivity between ASD individuals and typically developing (TD) controls in three age groups including children ( 18 years), each comprising 21 ASD individuals and 21 TD controls. The age groups were matched for age, Full IQ, and gender. Independent component analysis and dual regression were used to investigate within-connectivity. The full and partial correlations between ICs were used to investigate between-connectivity. Examination of the within-connectivity showed hyper-connectivity, especially in cerebellum and brainstem in ASD children but both hyper/hypo connectivity in adolescents and ASD adults. In ASD children, difference in the between-connectivity among default mode network (DMN), salience-executive network and fronto-parietal network were observed. There was also a negative correlation between DMN and temporal network. Full correlation comparison between ASD adolescents and TD individuals showed significant differences between cerebellum and DMN. Our results supported just the hyper-connectivity in childhood, but both hypo and hyper-connectivity after childhood and hypothesized that abnormal resting connections in ASD exist in the regions of the brain known to be involved in social cognition.
doi_str_mv 10.1007/s10548-021-00831-7
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2518971005</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2522236749</sourcerecordid><originalsourceid>FETCH-LOGICAL-c490t-206c8bec40933c26c3c79abf45fa2e72c3022a0dd39f7d78a220f6505f1bf72c3</originalsourceid><addsrcrecordid>eNp9kU-LFDEQxYMo7rj6BTxIwIuX1krS3el4G0bXFRYF_5xDOl1ZsnYnY5JW5tub2VkVPHiqFO9XL_AeIU8ZvGQA8lVm0LVDA5w1AINgjbxHNqyTouml4vfJBgbVV7mXZ-RRzjcAIJSUD8mZEAq6um2Iu1iDLT4GM9MPWH7G9C3T7RhiWszsi8dMfaDbtfi80M97tCWtC33jc0wTptd0e43NJ5xNwYleHvaRmnD7wER3MYTK-x--HB6TB87MGZ_czXPy9eLtl91lc_Xx3fvd9qqxrYLScOjtMKJtQQlheW-FlcqMru2c4Si5FcC5gWkSyslJDoZzcH0HnWOjO8rn5MXJd5_i9xVz0YvPFufZBIxr1rxjg5I1va6iz_9Bb-Kaag5HinMuetmqSvETZVPMOaHT--QXkw6agT62oE8t6NqCvm1By3r07M56HRec_pz8jr0C4gTkKoVrTH___o_tL56NklI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2522236749</pqid></control><display><type>article</type><title>Functional Networks Abnormalities in Autism Spectrum Disorder: Age-Related Hypo and Hyper Connectivity</title><source>SpringerNature Journals</source><creator>Haghighat, Hossein ; Mirzarezaee, Mitra ; Araabi, Babak Nadjar ; Khadem, Ali</creator><creatorcontrib>Haghighat, Hossein ; Mirzarezaee, Mitra ; Araabi, Babak Nadjar ; Khadem, Ali</creatorcontrib><description>Autism spectrum disorder (ASD) is a developmental disorder characterized by defects in social interaction. The past functional connectivity studies using resting-state fMRI have found both patterns of hypo-connectivity and hyper-connectivity in ASD and proposed the age as an important factor on functional connectivity disorders. However, this influence is not clearly characterized yet. Previous studies have often examined the functional connectivity disorders in particular brain regions in an age group or a mixture of age groups. The present study compares whole-brain within-connectivity and between-connectivity between ASD individuals and typically developing (TD) controls in three age groups including children (&lt; 11 years), adolescents (11–18 years), and adults (&gt; 18 years), each comprising 21 ASD individuals and 21 TD controls. The age groups were matched for age, Full IQ, and gender. Independent component analysis and dual regression were used to investigate within-connectivity. The full and partial correlations between ICs were used to investigate between-connectivity. Examination of the within-connectivity showed hyper-connectivity, especially in cerebellum and brainstem in ASD children but both hyper/hypo connectivity in adolescents and ASD adults. In ASD children, difference in the between-connectivity among default mode network (DMN), salience-executive network and fronto-parietal network were observed. There was also a negative correlation between DMN and temporal network. Full correlation comparison between ASD adolescents and TD individuals showed significant differences between cerebellum and DMN. Our results supported just the hyper-connectivity in childhood, but both hypo and hyper-connectivity after childhood and hypothesized that abnormal resting connections in ASD exist in the regions of the brain known to be involved in social cognition.</description><identifier>ISSN: 0896-0267</identifier><identifier>EISSN: 1573-6792</identifier><identifier>DOI: 10.1007/s10548-021-00831-7</identifier><identifier>PMID: 33905003</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adolescents ; Age groups ; Autism ; Biomedical and Life Sciences ; Biomedicine ; Brain mapping ; Brain stem ; Cerebellum ; Children ; Cognition ; Developmental disabilities ; Functional magnetic resonance imaging ; Neural networks ; Neurology ; Neurosciences ; Original Paper ; Psychiatry ; Social interactions ; Teenagers</subject><ispartof>Brain topography, 2021-05, Vol.34 (3), p.306-322</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c490t-206c8bec40933c26c3c79abf45fa2e72c3022a0dd39f7d78a220f6505f1bf72c3</citedby><cites>FETCH-LOGICAL-c490t-206c8bec40933c26c3c79abf45fa2e72c3022a0dd39f7d78a220f6505f1bf72c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10548-021-00831-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10548-021-00831-7$$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/33905003$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Haghighat, Hossein</creatorcontrib><creatorcontrib>Mirzarezaee, Mitra</creatorcontrib><creatorcontrib>Araabi, Babak Nadjar</creatorcontrib><creatorcontrib>Khadem, Ali</creatorcontrib><title>Functional Networks Abnormalities in Autism Spectrum Disorder: Age-Related Hypo and Hyper Connectivity</title><title>Brain topography</title><addtitle>Brain Topogr</addtitle><addtitle>Brain Topogr</addtitle><description>Autism spectrum disorder (ASD) is a developmental disorder characterized by defects in social interaction. The past functional connectivity studies using resting-state fMRI have found both patterns of hypo-connectivity and hyper-connectivity in ASD and proposed the age as an important factor on functional connectivity disorders. However, this influence is not clearly characterized yet. Previous studies have often examined the functional connectivity disorders in particular brain regions in an age group or a mixture of age groups. The present study compares whole-brain within-connectivity and between-connectivity between ASD individuals and typically developing (TD) controls in three age groups including children (&lt; 11 years), adolescents (11–18 years), and adults (&gt; 18 years), each comprising 21 ASD individuals and 21 TD controls. The age groups were matched for age, Full IQ, and gender. Independent component analysis and dual regression were used to investigate within-connectivity. The full and partial correlations between ICs were used to investigate between-connectivity. Examination of the within-connectivity showed hyper-connectivity, especially in cerebellum and brainstem in ASD children but both hyper/hypo connectivity in adolescents and ASD adults. In ASD children, difference in the between-connectivity among default mode network (DMN), salience-executive network and fronto-parietal network were observed. There was also a negative correlation between DMN and temporal network. Full correlation comparison between ASD adolescents and TD individuals showed significant differences between cerebellum and DMN. Our results supported just the hyper-connectivity in childhood, but both hypo and hyper-connectivity after childhood and hypothesized that abnormal resting connections in ASD exist in the regions of the brain known to be involved in social cognition.</description><subject>Adolescents</subject><subject>Age groups</subject><subject>Autism</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Brain mapping</subject><subject>Brain stem</subject><subject>Cerebellum</subject><subject>Children</subject><subject>Cognition</subject><subject>Developmental disabilities</subject><subject>Functional magnetic resonance imaging</subject><subject>Neural networks</subject><subject>Neurology</subject><subject>Neurosciences</subject><subject>Original Paper</subject><subject>Psychiatry</subject><subject>Social interactions</subject><subject>Teenagers</subject><issn>0896-0267</issn><issn>1573-6792</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU-LFDEQxYMo7rj6BTxIwIuX1krS3el4G0bXFRYF_5xDOl1ZsnYnY5JW5tub2VkVPHiqFO9XL_AeIU8ZvGQA8lVm0LVDA5w1AINgjbxHNqyTouml4vfJBgbVV7mXZ-RRzjcAIJSUD8mZEAq6um2Iu1iDLT4GM9MPWH7G9C3T7RhiWszsi8dMfaDbtfi80M97tCWtC33jc0wTptd0e43NJ5xNwYleHvaRmnD7wER3MYTK-x--HB6TB87MGZ_czXPy9eLtl91lc_Xx3fvd9qqxrYLScOjtMKJtQQlheW-FlcqMru2c4Si5FcC5gWkSyslJDoZzcH0HnWOjO8rn5MXJd5_i9xVz0YvPFufZBIxr1rxjg5I1va6iz_9Bb-Kaag5HinMuetmqSvETZVPMOaHT--QXkw6agT62oE8t6NqCvm1By3r07M56HRec_pz8jr0C4gTkKoVrTH___o_tL56NklI</recordid><startdate>20210501</startdate><enddate>20210501</enddate><creator>Haghighat, Hossein</creator><creator>Mirzarezaee, Mitra</creator><creator>Araabi, Babak Nadjar</creator><creator>Khadem, Ali</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</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>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20210501</creationdate><title>Functional Networks Abnormalities in Autism Spectrum Disorder: Age-Related Hypo and Hyper Connectivity</title><author>Haghighat, Hossein ; Mirzarezaee, Mitra ; Araabi, Babak Nadjar ; Khadem, Ali</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c490t-206c8bec40933c26c3c79abf45fa2e72c3022a0dd39f7d78a220f6505f1bf72c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adolescents</topic><topic>Age groups</topic><topic>Autism</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Brain mapping</topic><topic>Brain stem</topic><topic>Cerebellum</topic><topic>Children</topic><topic>Cognition</topic><topic>Developmental disabilities</topic><topic>Functional magnetic resonance imaging</topic><topic>Neural networks</topic><topic>Neurology</topic><topic>Neurosciences</topic><topic>Original Paper</topic><topic>Psychiatry</topic><topic>Social interactions</topic><topic>Teenagers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Haghighat, Hossein</creatorcontrib><creatorcontrib>Mirzarezaee, Mitra</creatorcontrib><creatorcontrib>Araabi, Babak Nadjar</creatorcontrib><creatorcontrib>Khadem, Ali</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech 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>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</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 &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Biological Science Database</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Brain topography</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Haghighat, Hossein</au><au>Mirzarezaee, Mitra</au><au>Araabi, Babak Nadjar</au><au>Khadem, Ali</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Functional Networks Abnormalities in Autism Spectrum Disorder: Age-Related Hypo and Hyper Connectivity</atitle><jtitle>Brain topography</jtitle><stitle>Brain Topogr</stitle><addtitle>Brain Topogr</addtitle><date>2021-05-01</date><risdate>2021</risdate><volume>34</volume><issue>3</issue><spage>306</spage><epage>322</epage><pages>306-322</pages><issn>0896-0267</issn><eissn>1573-6792</eissn><abstract>Autism spectrum disorder (ASD) is a developmental disorder characterized by defects in social interaction. The past functional connectivity studies using resting-state fMRI have found both patterns of hypo-connectivity and hyper-connectivity in ASD and proposed the age as an important factor on functional connectivity disorders. However, this influence is not clearly characterized yet. Previous studies have often examined the functional connectivity disorders in particular brain regions in an age group or a mixture of age groups. The present study compares whole-brain within-connectivity and between-connectivity between ASD individuals and typically developing (TD) controls in three age groups including children (&lt; 11 years), adolescents (11–18 years), and adults (&gt; 18 years), each comprising 21 ASD individuals and 21 TD controls. The age groups were matched for age, Full IQ, and gender. Independent component analysis and dual regression were used to investigate within-connectivity. The full and partial correlations between ICs were used to investigate between-connectivity. Examination of the within-connectivity showed hyper-connectivity, especially in cerebellum and brainstem in ASD children but both hyper/hypo connectivity in adolescents and ASD adults. In ASD children, difference in the between-connectivity among default mode network (DMN), salience-executive network and fronto-parietal network were observed. There was also a negative correlation between DMN and temporal network. Full correlation comparison between ASD adolescents and TD individuals showed significant differences between cerebellum and DMN. Our results supported just the hyper-connectivity in childhood, but both hypo and hyper-connectivity after childhood and hypothesized that abnormal resting connections in ASD exist in the regions of the brain known to be involved in social cognition.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>33905003</pmid><doi>10.1007/s10548-021-00831-7</doi><tpages>17</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0896-0267
ispartof Brain topography, 2021-05, Vol.34 (3), p.306-322
issn 0896-0267
1573-6792
language eng
recordid cdi_proquest_miscellaneous_2518971005
source SpringerNature Journals
subjects Adolescents
Age groups
Autism
Biomedical and Life Sciences
Biomedicine
Brain mapping
Brain stem
Cerebellum
Children
Cognition
Developmental disabilities
Functional magnetic resonance imaging
Neural networks
Neurology
Neurosciences
Original Paper
Psychiatry
Social interactions
Teenagers
title Functional Networks Abnormalities in Autism Spectrum Disorder: Age-Related Hypo and Hyper Connectivity
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T04%3A30%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Functional%20Networks%20Abnormalities%20in%20Autism%20Spectrum%20Disorder:%20Age-Related%20Hypo%20and%20Hyper%20Connectivity&rft.jtitle=Brain%20topography&rft.au=Haghighat,%20Hossein&rft.date=2021-05-01&rft.volume=34&rft.issue=3&rft.spage=306&rft.epage=322&rft.pages=306-322&rft.issn=0896-0267&rft.eissn=1573-6792&rft_id=info:doi/10.1007/s10548-021-00831-7&rft_dat=%3Cproquest_cross%3E2522236749%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2522236749&rft_id=info:pmid/33905003&rfr_iscdi=true