Hadaya, Laila, Váša, František, Dimitrakopoulou, Konstantina, Saqi, Mansoor, Shergill, Sukhwinder S., Edwards, A David, Batalle, Dafnis, Leech, Robert, Nosarti, Chiara (2025) Exploring functional connectivity in clinical and data-driven groups of preterm and term adults. Brain Communications, 7 (2). Article Number fcaf074. ISSN 2632-1297. (doi:10.1093/braincomms/fcaf074) (KAR id:108888)
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Official URL: https://doi.org/10.1093/braincomms/fcaf074 |
Abstract
Adults born very preterm (i.e., at <33 weeks’ gestation) are more susceptible to long-lasting structural and functional brain alterations and cognitive and socio-emotional difficulties, compared to full-term controls. However, behavioural heterogeneity within very preterm and full-term individuals makes it challenging to find biomarkers of specific outcomes. To address these questions, we parsed brain-behaviour heterogeneity in participants subdivided according to their clinical birth status (very preterm vs full-term) and/or data-driven behavioural phenotype (regardless of birth status). Participants were followed up in adulthood (median age 30 years) as part of a wider longitudinal case-control cohort study. The Network Based Statistic approach was used to identify topological components of resting state functional connectivity differentiating between i) 116 very preterm and 83 full-term adults (43% and 57% female, respectively), and ii) data-driven behavioural subgroups identified using consensus clustering (n= 156, 46% female). Age, sex, socio-economic status, and in-scanner head motion were used as confounders in all analyses. Post-hoc two-way group interactions between clinical birth status and behavioural data-driven subgrouping classification labels explored whether functional connectivity differences between very preterm and full-term adults varied according to distinct behavioural outcomes. Very preterm compared to full-term adults had poorer scores in selective measures of cognitive and socio-emotional processing and displayed complex patterns of hyper- and hypo-connectivity in subsections of the default mode, visual, and ventral attention networks. Stratifying the study participants in terms of their behavioural profiles (irrespective of birth status), identified two data-driven subgroups: An “At-risk” subgroup, characterised by increased cognitive, mental health, and socio-emotional difficulties, displaying hypo-connectivity anchored in frontal opercular and insular regions, relative to a “Resilient” subgroup with more favourable outcomes. No significant interaction was noted between clinical birth status and behavioural data-driven subgrouping classification labels in terms of functional connectivity. Functional connectivity differentiating between very preterm and full-term adults was dissimilar to functional connectivity differentiating between the data-driven behavioural subgroups. We speculate that functional connectivity alterations observed in very preterm relative to full-term adults may confer both risk and resilience to developing behavioural sequelae associated with very preterm birth, while the localised functional connectivity alterations seen in the “At-risk” subgroup relative to the “Resilient” subgroup may underlie less favourable behavioural outcomes in adulthood, irrespective of birth status.
Item Type: | Article |
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DOI/Identification number: | 10.1093/braincomms/fcaf074 |
Uncontrolled keywords: | preterm birth, clustering, resting state functional MRI, behaviour |
Subjects: | R Medicine |
Divisions: | Divisions > Division of Natural Sciences > Kent and Medway Medical School |
Funders: |
Medical Research Council (https://ror.org/03x94j517)
Engineering and Physical Sciences Research Council (https://ror.org/0439y7842) |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 05 Mar 2025 15:29 UTC |
Last Modified: | 26 Mar 2025 03:57 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/108888 (The current URI for this page, for reference purposes) |
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