Network analysis of structural MRI predicts executive function in paediatric traumatic brain injury.

Child Development Executive Function MRI Morphometric Similarity Morphometry Paediatric Traumatic Brain Injury

Journal

NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070

Informations de publication

Date de publication:
09 Oct 2024
Historique:
received: 06 06 2024
revised: 10 09 2024
accepted: 06 10 2024
medline: 19 10 2024
pubmed: 19 10 2024
entrez: 18 10 2024
Statut: aheadofprint

Résumé

Paediatric traumatic brain injury (pTBI) is likely to result in cognitive impairment, specifically executive dysfunction. Evidence of the neuroanatomical correlates of this executive function (EF) impairment is derived from studies that treat morphometry of brain regions as distinct, independent features, rather than as a complex network of interrelationships. Morphometric similarity captures the meso-scale organisation of the cortex as the interrelatedness of multiple macro-architectural features and presents a novel tool with which to investigate the brain post pTBI. In a retrospective sample (83 pTBI patients, 33 controls), we estimate morphometric similarity from structural MRI by correlating morphometric features between cortical regions. We compared the meso-scale organisation of the cortex between groups then, using partial least squares regression, assessed the predictive validity of morphometric similarity in understanding later executive functioning, two years post-injury. We found that patients and controls did not differ in terms of the overall magnitude of morphometric similarity. However, a pattern of ROI-level morphometric similarity was predictive of day-to-day EF difficulties reported by parents two years post-injury. This prediction was validated using a leave-one-out, and 20-fold cross-validation approach. Prediction was driven by regions of the prefrontal cortex, typically important for healthy maturation of EF skills in childhood. The meso-scale organisation of the cortex also produced more accurate predictions than any one morphometric feature (i.e. cortical thickness or folding index) alone. We conclude that these methodologies show utility in predicting later executive functioning in this population.

Identifiants

pubmed: 39423568
pii: S2213-1582(24)00126-8
doi: 10.1016/j.nicl.2024.103685
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103685

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Daniel Griffiths-King (D)

College of Health & Life Sciences & Aston Institute of Health and Neurodevelopment, Aston University, Birmingham B4 7ET, UK. Electronic address: d.griffiths-king@aston.ac.uk.

Stefano Seri (S)

College of Health & Life Sciences & Aston Institute of Health and Neurodevelopment, Aston University, Birmingham B4 7ET, UK; Department of Clinical Neurophysiology, Birmingham Women's and Children's Hospital NHS Foundation Trust, UK.

Cathy Catroppa (C)

Brain and Mind Research, Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia; Department of Psychology, Royal Children's Hospital, Melbourne, Australia.

Vicki A Anderson (VA)

Brain and Mind Research, Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia; Department of Psychology, Royal Children's Hospital, Melbourne, Australia.

Amanda G Wood (AG)

College of Health & Life Sciences & Aston Institute of Health and Neurodevelopment, Aston University, Birmingham B4 7ET, UK; School of Psychology, Faculty of Health, Melbourne Burwood Campus, Deakin University, Geelong, Victoria, Australia.

Classifications MeSH