Delineating the impact of childhood traumatic brain injury (TBI) on long-term depressive symptom severity: Does sub-acute brain morphometry prospectively predict 2-year outcome?


Journal

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

Informations de publication

Date de publication:
2024
Historique:
received: 06 10 2023
revised: 25 11 2023
accepted: 08 01 2024
medline: 18 3 2024
pubmed: 19 1 2024
entrez: 19 1 2024
Statut: ppublish

Résumé

Despite evidence of a link between childhood TBI and heightened risk for depressive symptoms, very few studies have examined early risk factors that predict the presence and severity of post-injury depression beyond 1-year post injury. This longitudinal prospective study examined the effect of mild-severe childhood TBI on depressive symptom severity at 2-years post-injury. It also evaluated the potential role of sub-acute brain morphometry and executive function (EF) in prospectively predicting these long-term outcomes. The study involved 81 children and adolescents with TBI, and 40 age-and-sex matched typically developing (TD) controls. Participants underwent high-resolution structural magnetic resonance imaging (MRI) sub-acutely at five weeks post-injury (M = 5.55; SD = 3.05 weeks) and EF assessments were completed at 6-months post-injury. Compared to TD controls, the TBI group had significantly higher overall internalizing symptoms and were significantly more likely to exhibit clinically significant depressive symptoms at 2-year follow-up. The TBI group also displayed significantly lower EF and altered sub-acute brain morphometry in EF-related brain networks, including the default-mode network (DMN), salience network (SN) and central executive network (CEN). Mediation analyses revealed significant indirect effects of CEN morphometry on depression symptom severity, such that lower EF mediated the prospective association between altered CEN morphometry and higher depression symptoms in the TBI group. Parallel mediation analyses including grey matter morphometry of a non-EF brain network (i.e., the mentalising network) were not statistically significant, suggesting some model specificity. The findings indicate that screening for early neurostructural and neurocognitive risk factors may help identify children at elevated risk of depressive symptoms following TBI. For instance, children at greatest risk of post-injury depression symptoms could be identified based in part on neuroimaging of networks implicated in EF and post-acute assessments of executive function, which could support more effective allocation of limited intervention resources.

Identifiants

pubmed: 38241755
pii: S2213-1582(24)00004-4
doi: 10.1016/j.nicl.2024.103565
pmc: PMC10831307
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103565

Informations de copyright

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

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Nicholas P Ryan (NP)

School of Psychology, Deakin University, 221 Burwood Highway, Burwood 3125, Victoria, Australia; Brain & Mind Research, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia; Psychology Service, Royal Children's Hospital, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia; Department of Paediatrics, University of Melbourne, 50 Flemington Road, Parkville 3052, Victoria, Australia. Electronic address: nicholas.ryan@deakin.edu.au.

Dawn Koester (D)

School of Psychology, Deakin University, 221 Burwood Highway, Burwood 3125, Victoria, Australia.

Louise Crossley (L)

Brain & Mind Research, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia.

Edith Botchway (E)

Brain & Mind Research, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia.

Stephen Hearps (S)

Brain & Mind Research, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia.

Cathy Catroppa (C)

Brain & Mind Research, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia; Psychology Service, Royal Children's Hospital, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia; Department of Paediatrics, University of Melbourne, 50 Flemington Road, Parkville 3052, Victoria, Australia.

Vicki Anderson (V)

Brain & Mind Research, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia; Psychology Service, Royal Children's Hospital, Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia; Department of Paediatrics, University of Melbourne, 50 Flemington Road, Parkville 3052, Victoria, Australia.

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