Cargando…
Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study
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 inv...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313511/ https://www.ncbi.nlm.nih.gov/pubmed/36329223 http://dx.doi.org/10.1038/s41390-022-02342-y |
_version_ | 1785067142187581440 |
---|---|
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_facet | 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 | Siffredi, Vanessa |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-10313511 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-103135112023-07-02 Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study 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 Pediatr Res Population Study Article 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. Nature Publishing Group US 2022-11-03 2023 /pmc/articles/PMC10313511/ /pubmed/36329223 http://dx.doi.org/10.1038/s41390-022-02342-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Population Study Article 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 Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study |
title | Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study |
title_full | Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study |
title_fullStr | Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study |
title_full_unstemmed | Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study |
title_short | Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study |
title_sort | large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study |
topic | Population Study Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313511/ https://www.ncbi.nlm.nih.gov/pubmed/36329223 http://dx.doi.org/10.1038/s41390-022-02342-y |
work_keys_str_mv | AT siffredivanessa largescalebrainnetworkdynamicsinverypretermchildrenandrelationshipwithsocioemotionaloutcomesanexploratorystudy AT liveranimariachiara largescalebrainnetworkdynamicsinverypretermchildrenandrelationshipwithsocioemotionaloutcomesanexploratorystudy AT freitaslorenaga largescalebrainnetworkdynamicsinverypretermchildrenandrelationshipwithsocioemotionaloutcomesanexploratorystudy AT tadrosd largescalebrainnetworkdynamicsinverypretermchildrenandrelationshipwithsocioemotionaloutcomesanexploratorystudy AT faroujy largescalebrainnetworkdynamicsinverypretermchildrenandrelationshipwithsocioemotionaloutcomesanexploratorystudy AT borradoritolsacristina largescalebrainnetworkdynamicsinverypretermchildrenandrelationshipwithsocioemotionaloutcomesanexploratorystudy AT vandevilledimitri largescalebrainnetworkdynamicsinverypretermchildrenandrelationshipwithsocioemotionaloutcomesanexploratorystudy AT huppipetrasusan largescalebrainnetworkdynamicsinverypretermchildrenandrelationshipwithsocioemotionaloutcomesanexploratorystudy AT havinhleuchterrussia largescalebrainnetworkdynamicsinverypretermchildrenandrelationshipwithsocioemotionaloutcomesanexploratorystudy |