Effective connectivity in the default mode network after paediatric traumatic brain injury.
Adolescent
Bayes Theorem
Brain
/ diagnostic imaging
Brain Injuries, Traumatic
/ complications
Brain Mapping
/ methods
Child
Default Mode Network
Diffusion Tensor Imaging
Humans
Longitudinal Studies
Magnetic Resonance Imaging
/ methods
Nerve Net
Post-Concussion Syndrome
/ complications
Prospective Studies
Bayes theorem
anxiety
brain injuries
child
magnetic resonance imaging
post-concussion syndrome
Journal
The European journal of neuroscience
ISSN: 1460-9568
Titre abrégé: Eur J Neurosci
Pays: France
ID NLM: 8918110
Informations de publication
Date de publication:
01 2022
01 2022
Historique:
revised:
17
11
2021
received:
27
05
2021
accepted:
20
11
2021
pubmed:
30
11
2021
medline:
9
4
2022
entrez:
29
11
2021
Statut:
ppublish
Résumé
Children who experience a traumatic brain injury (TBI) are at elevated risk for a range of negative cognitive and neuropsychological outcomes. Identifying which children are at greatest risk for negative outcomes can be difficult due to the heterogeneity of TBI. To address this barrier, the current study applied a novel method of characterizing brain connectivity networks, Bayesian multi-subject vector autoregressive modelling (BVAR-connect), which used white matter integrity as priors to evaluate effective connectivity-the time-dependent relationship in functional magnetic resonance imaging (fMRI) activity between two brain regions-within the default mode network (DMN). In a prospective longitudinal study, children ages 8-15 years with mild to severe TBI underwent diffusion tensor imaging and resting state fMRI 7 weeks after injury; post-concussion and anxiety symptoms were assessed 7 months after injury. The goals of this study were to (1) characterize differences in positive effective connectivity of resting-state DMN circuitry between healthy controls and children with TBI, (2) determine if severity of TBI was associated with differences in DMN connectivity and (3) evaluate whether patterns of DMN effective connectivity predicted persistent post-concussion symptoms and anxiety. Healthy controls had unique positive connectivity that mostly emerged from the inferior temporal lobes. In contrast, children with TBI had unique effective connectivity among orbitofrontal and parietal regions. These positive orbitofrontal-parietal DMN effective connectivity patterns also differed by TBI severity and were associated with persisting behavioural outcomes. Effective connectivity may be a sensitive neuroimaging marker of TBI severity as well as a predictor of chronic post-concussion symptoms and anxiety.
Identifiants
pubmed: 34841600
doi: 10.1111/ejn.15546
pmc: PMC9198945
mid: NIHMS1759716
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
318-336Subventions
Organisme : NINDS NIH HHS
ID : R01 NS046308
Pays : United States
Informations de copyright
© 2021 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.
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