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dc.contributor.authorSpencer, APC
dc.contributor.authorGoodfellow, M
dc.contributor.authorChakkarapani, E
dc.contributor.authorBrooks, JCW
dc.date.accessioned2024-05-14T14:44:33Z
dc.date.issued2024-04-29
dc.date.updated2024-05-14T11:00:47Z
dc.description.abstractTherapeutic 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.en_GB
dc.description.sponsorshipBaily Thomas Charitable Funden_GB
dc.description.sponsorshipDavid Telling Charitable Trusten_GB
dc.description.sponsorshipWellcome Trusten_GB
dc.description.sponsorshipMedical Research Council (MRC)en_GB
dc.description.sponsorshipMoulton Foundationen_GB
dc.identifier.citationVol. 6, No. 3, article fcae154en_GB
dc.identifier.doihttps://doi.org/10.1093/braincomms/fcae154
dc.identifier.grantnumberTRUST/VC/AC/SG4681-7596en_GB
dc.identifier.grantnumber05/BTL/01en_GB
dc.identifier.grantnumber14/ BTL/01en_GB
dc.identifier.grantnumberWT220070/Z/20/Zen_GB
dc.identifier.grantnumberMR/N026969/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/135941
dc.identifierORCID: 0000-0002-7282-7280 (Goodfellow, Marc)
dc.language.isoenen_GB
dc.publisherOxford University Pressen_GB
dc.relation.sourceData 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).50en_GB
dc.relation.urlhttps://github.com/apcspencer/dFC_DimReductionen_GB
dc.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.en_GB
dc.subjecthypoxic-ischaemic encephalopathyen_GB
dc.subjectresting-state functional connectivityen_GB
dc.subjectdynamic functional connectivityen_GB
dc.subjectfMRIen_GB
dc.titleResting-state functional connectivity in children cooled for neonatal encephalopathyen_GB
dc.typeArticleen_GB
dc.date.available2024-05-14T14:44:33Z
dc.identifier.issn2632-1297
dc.descriptionThis is the final version. Available on open access from Oxford University Press via the DOI in this record. en_GB
dc.identifier.journalBrain Communicationsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2024-04-28
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2024-04-29
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-05-14T14:36:56Z
refterms.versionFCDVoR
refterms.dateFOA2024-05-14T14:44:40Z
refterms.panelBen_GB
refterms.dateFirstOnline2024-04-29


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© 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.
Except where otherwise noted, this item's licence is described as © 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.