Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study.

Autor: Siffredi V; Division of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland. vanessa.siffredi@unige.ch.; Institute of Bioengineering, Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Écublens, Switzerland. vanessa.siffredi@unige.ch.; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland. vanessa.siffredi@unige.ch., Liverani MC; Division of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland.; SensoriMotor, Affective and Social Development Laboratory, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland., Freitas LGA; Division of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland.; Institute of Bioengineering, Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Écublens, Switzerland.; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland., Tadros D; Division of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland.; Institute of Bioengineering, Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Écublens, Switzerland.; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland., Farouj Y; Institute of Bioengineering, Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Écublens, Switzerland.; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland., Borradori Tolsa C; Division of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland., Van De Ville D; Division of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland.; Institute of Bioengineering, Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Écublens, Switzerland.; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland., Hüppi PS; Division of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland., Ha-Vinh Leuchter R; Division of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland.
Jazyk: angličtina
Zdroj: Pediatric research [Pediatr Res] 2023 Jun; Vol. 93 (7), pp. 2072-2080. Date of Electronic Publication: 2022 Nov 03.
DOI: 10.1038/s41390-022-02342-y
Abstrakt: 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.
(© 2022. The Author(s).)
Databáze: MEDLINE
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