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Resting-state functional connectivity in children cooled for neonatal encephalopathy

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posted on 2025-08-02, 11:59 authored by APC Spencer, M Goodfellow, E Chakkarapani, JCW Brooks
Therapeutic hypothermia improves outcomes following neonatal hypoxic-ischaemic encephalopathy, reducing cases of death and severe disability such as cerebral palsy compared with normothermia management. However, when cooled children reach early school-age, they have cognitive and motor impairments which are associated with underlying alterations to brain structure and white matter connectivity. It is unknown whether these differences in structural connectivity are associated with differences in functional connectivity between cooled children and healthy controls. Resting-state functional MRI has been used to characterize static and dynamic functional connectivity in children, both with typical development and those with neurodevelopmental disorders. Previous studies of resting-state brain networks in children with hypoxic-ischaemic encephalopathy have focussed on the neonatal period. In this study, we used resting-state fMRI to investigate static and dynamic functional connectivity in children aged 6–8 years who were cooled for neonatal hypoxic-ischaemic without cerebral palsy [n = 22, median age (interquartile range) 7.08 (6.85–7.52) years] and healthy controls matched for age, sex and socioeconomic status [n = 20, median age (interquartile range) 6.75 (6.48–7.25) years]. Using group independent component analysis, we identified 31 intrinsic functional connectivity networks consistent with those previously reported in children and adults. We found no case-control differences in the spatial maps of these intrinsic connectivity networks. We constructed subject-specific static functional connectivity networks by measuring pairwise Pearson correlations between component time courses and found no case-control differences in functional connectivity after false discovery rate correction. To study the time-varying organization of resting-state networks, we used sliding window correlations and deep clustering to investigate dynamic functional connectivity characteristics. We found k = 4 repetitively occurring functional connectivity states, which exhibited no case-control differences in dwell time, fractional occupancy or state functional connectivity matrices. In this small cohort, the spatiotemporal characteristics of resting-state brain networks in cooled children without severe disability were too subtle to be differentiated from healthy controls at early school-age, despite underlying differences in brain structure and white matter connectivity, possibly reflecting a level of recovery of healthy resting-state brain function. To our knowledge, this is the first study to investigate resting-state functional connectivity in children with hypoxic-ischaemic encephalopathy beyond the neonatal period and the first to investigate dynamic functional connectivity in any children with hypoxic-ischaemic encephalopathy.

Funding

05/BTL/01

14/ BTL/01

Baily Thomas Charitable Fund

David Telling Charitable Trust

MR/N026969/1

Medical Research Council (MRC)

Moulton Foundation

TRUST/VC/AC/SG4681-7596

WT220070/Z/20/Z

Wellcome Trust

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Rights

© The Author(s) 2024. Published by Oxford University Press on behalf of the Guarantors of Brain. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Notes

This is the final version. Available on open access from Oxford University Press via the DOI in this record. Data availability: The data that support the findings of this study are available from the corresponding author, upon reasonable request. The code used for dFC analysis (including sliding window correlations and deep clustering) is available at GitHub (https://github.com/apcspencer/dFC_DimReduction).50

Journal

Brain Communications

Publisher

Oxford University Press

Version

  • Version of Record

Language

en

FCD date

2024-05-14T14:36:56Z

FOA date

2024-05-14T14:44:40Z

Citation

Vol. 6, No. 3, article fcae154

Department

  • Mathematics and Statistics

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