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Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study
Background Children born very preterm (VPT;
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| Published in: | Pediatric research 2023-06, Vol.93 (7), p.2072-2080 |
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| container_title | Pediatric research |
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| creator | Siffredi, Vanessa Liverani, Maria Chiara Freitas, Lorena G. A. Tadros, D. Farouj, Y. Borradori Tolsa, Cristina Van De Ville, Dimitri Hüppi, Petra Susan Ha-Vinh Leuchter, Russia |
| description | Background
Children born very preterm (VPT; |
| doi_str_mv | 10.1038/s41390-022-02342-y |
| format | article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10313511</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2831678392</sourcerecordid><originalsourceid>FETCH-LOGICAL-c529t-40b6a44a5be0579094b08dd5749d382a35704ff58012ca2a1cd012022c59d2cd3</originalsourceid><addsrcrecordid>eNp9kT1vFDEQhi0EIkfgD1AgSzQ0C_68tWkQigggnUQDteW15-4cdu3D9iZsx0-Pw4XwUVBYtt555h3PDEJPKXlJCVeviqBck44w1g4XrFvuoRWVvElC9PfRihBOO661OkGPSrkghAqpxEN0wtecacb4Cv3Y2LyDrjg7Ah6yDRFHqFcpf8V-iXYKruCmXUJe8CFDhTxhtw-jzxCxjR5nGG0NKZZ9OOCrUPe4JBdSB1O6ke2I01xdmqC8bjyG74cxZVtT8yt19stj9GBrxwJPbu9T9OX83eezD93m0_uPZ283nZNM106QYW2FsHIAIntNtBiI8l72QnuumOWyJ2K7lYpQ5iyz1Pn2aqNxUnvmPD9Fb46-h3mYwDuINdvRHHKYbF5MssH8HYlhb3bp0rRRUy4pbQ4vbh1y-jZDqWYKxcE42ghpLob1nEku1lI19Pk_6EWacxtGoxSn615xzRrFjpTLqZQM27vfUHJTVpnjhk1rw_zcsFla0rM_-7hL-bXSBvAjUFoo7iD_rv0f22vPY7TC</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2831678392</pqid></control><display><type>article</type><title>Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study</title><source>Springer Nature</source><creator>Siffredi, Vanessa ; Liverani, Maria Chiara ; Freitas, Lorena G. A. ; Tadros, D. ; Farouj, Y. ; Borradori Tolsa, Cristina ; Van De Ville, Dimitri ; Hüppi, Petra Susan ; Ha-Vinh Leuchter, Russia</creator><creatorcontrib>Siffredi, Vanessa ; Liverani, Maria Chiara ; Freitas, Lorena G. A. ; Tadros, D. ; Farouj, Y. ; Borradori Tolsa, Cristina ; Van De Ville, Dimitri ; Hüppi, Petra Susan ; Ha-Vinh Leuchter, Russia</creatorcontrib><description>Background
Children born very preterm (VPT; <32 weeks’ gestation) are at high risk of neurodevelopmental and behavioural difficulties associated with atypical brain maturation, including socio-emotional difficulties. The analysis of large-scale brain network dynamics during rest allows us to investigate brain functional connectivity and its association with behavioural outcomes.
Methods
Dynamic functional connectivity was extracted by using the innovation-driven co-activation patterns framework in VPT and full-term children aged 6–9 to explore changes in spatial organisation, laterality and temporal dynamics of spontaneous large-scale brain activity (VPT,
n
= 28; full-term,
n
= 12). Multivariate analysis was used to explore potential biomarkers for socio-emotional difficulties in VPT children.
Results
The spatial organisation of the 13 retrieved functional networks was comparable across groups. Dynamic features and lateralisation of network brain activity were also comparable for all brain networks. Multivariate analysis unveiled group differences in associations between dynamical functional connectivity parameters with socio-emotional abilities.
Conclusion
In this exploratory study, the group differences observed might reflect reduced degrees of maturation of functional architecture in the VPT group in regard to socio-emotional abilities. Dynamic features of functional connectivity could represent relevant neuroimaging markers and inform on potential mechanisms through which preterm birth leads to neurodevelopmental and behavioural disorders.
Impact
Spatial organisation of the retrieved resting-state networks was comparable between school-aged very preterm and full-term children.
Dynamic features and lateralisation of network brain activity were also comparable across groups.
Multivariate pattern analysis revealed different patterns of association between dynamical functional connectivity parameters and socio-emotional abilities in the very preterm and full-term groups.
Findings suggest a reduced degree of maturation of the functional architecture in the very preterm group in association with socio-emotional abilities.</description><identifier>ISSN: 0031-3998</identifier><identifier>EISSN: 1530-0447</identifier><identifier>DOI: 10.1038/s41390-022-02342-y</identifier><identifier>PMID: 36329223</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>Medicine ; Medicine & Public Health ; Multivariate analysis ; Pediatric Surgery ; Pediatrics ; Population Study ; Population Study Article</subject><ispartof>Pediatric research, 2023-06, Vol.93 (7), p.2072-2080</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c529t-40b6a44a5be0579094b08dd5749d382a35704ff58012ca2a1cd012022c59d2cd3</citedby><cites>FETCH-LOGICAL-c529t-40b6a44a5be0579094b08dd5749d382a35704ff58012ca2a1cd012022c59d2cd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36329223$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Siffredi, Vanessa</creatorcontrib><creatorcontrib>Liverani, Maria Chiara</creatorcontrib><creatorcontrib>Freitas, Lorena G. A.</creatorcontrib><creatorcontrib>Tadros, D.</creatorcontrib><creatorcontrib>Farouj, Y.</creatorcontrib><creatorcontrib>Borradori Tolsa, Cristina</creatorcontrib><creatorcontrib>Van De Ville, Dimitri</creatorcontrib><creatorcontrib>Hüppi, Petra Susan</creatorcontrib><creatorcontrib>Ha-Vinh Leuchter, Russia</creatorcontrib><title>Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study</title><title>Pediatric research</title><addtitle>Pediatr Res</addtitle><addtitle>Pediatr Res</addtitle><description>Background
Children born very preterm (VPT; <32 weeks’ gestation) are at high risk of neurodevelopmental and behavioural difficulties associated with atypical brain maturation, including socio-emotional difficulties. The analysis of large-scale brain network dynamics during rest allows us to investigate brain functional connectivity and its association with behavioural outcomes.
Methods
Dynamic functional connectivity was extracted by using the innovation-driven co-activation patterns framework in VPT and full-term children aged 6–9 to explore changes in spatial organisation, laterality and temporal dynamics of spontaneous large-scale brain activity (VPT,
n
= 28; full-term,
n
= 12). Multivariate analysis was used to explore potential biomarkers for socio-emotional difficulties in VPT children.
Results
The spatial organisation of the 13 retrieved functional networks was comparable across groups. Dynamic features and lateralisation of network brain activity were also comparable for all brain networks. Multivariate analysis unveiled group differences in associations between dynamical functional connectivity parameters with socio-emotional abilities.
Conclusion
In this exploratory study, the group differences observed might reflect reduced degrees of maturation of functional architecture in the VPT group in regard to socio-emotional abilities. Dynamic features of functional connectivity could represent relevant neuroimaging markers and inform on potential mechanisms through which preterm birth leads to neurodevelopmental and behavioural disorders.
Impact
Spatial organisation of the retrieved resting-state networks was comparable between school-aged very preterm and full-term children.
Dynamic features and lateralisation of network brain activity were also comparable across groups.
Multivariate pattern analysis revealed different patterns of association between dynamical functional connectivity parameters and socio-emotional abilities in the very preterm and full-term groups.
Findings suggest a reduced degree of maturation of the functional architecture in the very preterm group in association with socio-emotional abilities.</description><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Multivariate analysis</subject><subject>Pediatric Surgery</subject><subject>Pediatrics</subject><subject>Population Study</subject><subject>Population Study Article</subject><issn>0031-3998</issn><issn>1530-0447</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kT1vFDEQhi0EIkfgD1AgSzQ0C_68tWkQigggnUQDteW15-4cdu3D9iZsx0-Pw4XwUVBYtt555h3PDEJPKXlJCVeviqBck44w1g4XrFvuoRWVvElC9PfRihBOO661OkGPSrkghAqpxEN0wtecacb4Cv3Y2LyDrjg7Ah6yDRFHqFcpf8V-iXYKruCmXUJe8CFDhTxhtw-jzxCxjR5nGG0NKZZ9OOCrUPe4JBdSB1O6ke2I01xdmqC8bjyG74cxZVtT8yt19stj9GBrxwJPbu9T9OX83eezD93m0_uPZ283nZNM106QYW2FsHIAIntNtBiI8l72QnuumOWyJ2K7lYpQ5iyz1Pn2aqNxUnvmPD9Fb46-h3mYwDuINdvRHHKYbF5MssH8HYlhb3bp0rRRUy4pbQ4vbh1y-jZDqWYKxcE42ghpLob1nEku1lI19Pk_6EWacxtGoxSn615xzRrFjpTLqZQM27vfUHJTVpnjhk1rw_zcsFla0rM_-7hL-bXSBvAjUFoo7iD_rv0f22vPY7TC</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Siffredi, Vanessa</creator><creator>Liverani, Maria Chiara</creator><creator>Freitas, Lorena G. A.</creator><creator>Tadros, D.</creator><creator>Farouj, Y.</creator><creator>Borradori Tolsa, Cristina</creator><creator>Van De Ville, Dimitri</creator><creator>Hüppi, Petra Susan</creator><creator>Ha-Vinh Leuchter, Russia</creator><general>Nature Publishing Group US</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20230601</creationdate><title>Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study</title><author>Siffredi, Vanessa ; Liverani, Maria Chiara ; Freitas, Lorena G. A. ; Tadros, D. ; Farouj, Y. ; Borradori Tolsa, Cristina ; Van De Ville, Dimitri ; Hüppi, Petra Susan ; Ha-Vinh Leuchter, Russia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c529t-40b6a44a5be0579094b08dd5749d382a35704ff58012ca2a1cd012022c59d2cd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Multivariate analysis</topic><topic>Pediatric Surgery</topic><topic>Pediatrics</topic><topic>Population Study</topic><topic>Population Study Article</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Siffredi, Vanessa</creatorcontrib><creatorcontrib>Liverani, Maria Chiara</creatorcontrib><creatorcontrib>Freitas, Lorena G. A.</creatorcontrib><creatorcontrib>Tadros, D.</creatorcontrib><creatorcontrib>Farouj, Y.</creatorcontrib><creatorcontrib>Borradori Tolsa, Cristina</creatorcontrib><creatorcontrib>Van De Ville, Dimitri</creatorcontrib><creatorcontrib>Hüppi, Petra Susan</creatorcontrib><creatorcontrib>Ha-Vinh Leuchter, Russia</creatorcontrib><collection>SpringerOpen</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</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)</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Pediatric research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Siffredi, Vanessa</au><au>Liverani, Maria Chiara</au><au>Freitas, Lorena G. A.</au><au>Tadros, D.</au><au>Farouj, Y.</au><au>Borradori Tolsa, Cristina</au><au>Van De Ville, Dimitri</au><au>Hüppi, Petra Susan</au><au>Ha-Vinh Leuchter, Russia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study</atitle><jtitle>Pediatric research</jtitle><stitle>Pediatr Res</stitle><addtitle>Pediatr Res</addtitle><date>2023-06-01</date><risdate>2023</risdate><volume>93</volume><issue>7</issue><spage>2072</spage><epage>2080</epage><pages>2072-2080</pages><issn>0031-3998</issn><eissn>1530-0447</eissn><abstract>Background
Children born very preterm (VPT; <32 weeks’ gestation) are at high risk of neurodevelopmental and behavioural difficulties associated with atypical brain maturation, including socio-emotional difficulties. The analysis of large-scale brain network dynamics during rest allows us to investigate brain functional connectivity and its association with behavioural outcomes.
Methods
Dynamic functional connectivity was extracted by using the innovation-driven co-activation patterns framework in VPT and full-term children aged 6–9 to explore changes in spatial organisation, laterality and temporal dynamics of spontaneous large-scale brain activity (VPT,
n
= 28; full-term,
n
= 12). Multivariate analysis was used to explore potential biomarkers for socio-emotional difficulties in VPT children.
Results
The spatial organisation of the 13 retrieved functional networks was comparable across groups. Dynamic features and lateralisation of network brain activity were also comparable for all brain networks. Multivariate analysis unveiled group differences in associations between dynamical functional connectivity parameters with socio-emotional abilities.
Conclusion
In this exploratory study, the group differences observed might reflect reduced degrees of maturation of functional architecture in the VPT group in regard to socio-emotional abilities. Dynamic features of functional connectivity could represent relevant neuroimaging markers and inform on potential mechanisms through which preterm birth leads to neurodevelopmental and behavioural disorders.
Impact
Spatial organisation of the retrieved resting-state networks was comparable between school-aged very preterm and full-term children.
Dynamic features and lateralisation of network brain activity were also comparable across groups.
Multivariate pattern analysis revealed different patterns of association between dynamical functional connectivity parameters and socio-emotional abilities in the very preterm and full-term groups.
Findings suggest a reduced degree of maturation of the functional architecture in the very preterm group in association with socio-emotional abilities.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>36329223</pmid><doi>10.1038/s41390-022-02342-y</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| source | Springer Nature |
| subjects | Medicine Medicine & Public Health Multivariate analysis Pediatric Surgery Pediatrics Population Study Population Study Article |
| title | Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study |
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