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Network analysis applied to post-concussion symptoms in two mild traumatic brain injury samples

OBJECTIVE: A latent disease explanation cannot exclusively explain post-concussion symptoms after mild traumatic brain injury (mTBI). Network analysis offers an alternative form of explanation for relationships between symptoms. The study aimed to apply network analysis to post-concussion symptoms i...

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Autores principales: Faulkner, Josh W., Theadom, Alice, Snell, Deborah L., Williams, Matt N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10398392/
https://www.ncbi.nlm.nih.gov/pubmed/37545717
http://dx.doi.org/10.3389/fneur.2023.1226367
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author Faulkner, Josh W.
Theadom, Alice
Snell, Deborah L.
Williams, Matt N.
author_facet Faulkner, Josh W.
Theadom, Alice
Snell, Deborah L.
Williams, Matt N.
author_sort Faulkner, Josh W.
collection PubMed
description OBJECTIVE: A latent disease explanation cannot exclusively explain post-concussion symptoms after mild traumatic brain injury (mTBI). Network analysis offers an alternative form of explanation for relationships between symptoms. The study aimed to apply network analysis to post-concussion symptoms in two different mTBI cohorts; an acute treatment-seeking sample and a sample 10 years post-mTBI. METHOD: The treatment-seeking sample (n = 258) were on average 6 weeks post-injury; the 10 year post mTBI sample (n = 193) was derived from a population-based incidence and outcomes study (BIONIC). Network analysis was completed on post-concussion symptoms measured using the Rivermead Post-Concussion Questionnaire. RESULTS: In the treatment-seeking sample, frustration, blurred vision, and concentration difficulties were central to the network. These symptoms remained central in the 10 year post mTBI sample. A Network Comparison Test revealed evidence of a difference in network structure across the two samples (p = 0.045). However, the only symptoms that showed significant differences in strength centrality across samples were irritability and restlessness. CONCLUSION: The current findings suggest that frustration, blurred vision and concentration difficulties may have an influential role in the experience and maintenance of post-concussion symptoms. The impact of these symptoms may remain stable over time. Targeting and prioritising the management of these symptoms may be beneficial for mTBI rehabilitation.
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spelling pubmed-103983922023-08-04 Network analysis applied to post-concussion symptoms in two mild traumatic brain injury samples Faulkner, Josh W. Theadom, Alice Snell, Deborah L. Williams, Matt N. Front Neurol Neurology OBJECTIVE: A latent disease explanation cannot exclusively explain post-concussion symptoms after mild traumatic brain injury (mTBI). Network analysis offers an alternative form of explanation for relationships between symptoms. The study aimed to apply network analysis to post-concussion symptoms in two different mTBI cohorts; an acute treatment-seeking sample and a sample 10 years post-mTBI. METHOD: The treatment-seeking sample (n = 258) were on average 6 weeks post-injury; the 10 year post mTBI sample (n = 193) was derived from a population-based incidence and outcomes study (BIONIC). Network analysis was completed on post-concussion symptoms measured using the Rivermead Post-Concussion Questionnaire. RESULTS: In the treatment-seeking sample, frustration, blurred vision, and concentration difficulties were central to the network. These symptoms remained central in the 10 year post mTBI sample. A Network Comparison Test revealed evidence of a difference in network structure across the two samples (p = 0.045). However, the only symptoms that showed significant differences in strength centrality across samples were irritability and restlessness. CONCLUSION: The current findings suggest that frustration, blurred vision and concentration difficulties may have an influential role in the experience and maintenance of post-concussion symptoms. The impact of these symptoms may remain stable over time. Targeting and prioritising the management of these symptoms may be beneficial for mTBI rehabilitation. Frontiers Media S.A. 2023-07-20 /pmc/articles/PMC10398392/ /pubmed/37545717 http://dx.doi.org/10.3389/fneur.2023.1226367 Text en Copyright © 2023 Faulkner, Theadom, Snell and Williams. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Faulkner, Josh W.
Theadom, Alice
Snell, Deborah L.
Williams, Matt N.
Network analysis applied to post-concussion symptoms in two mild traumatic brain injury samples
title Network analysis applied to post-concussion symptoms in two mild traumatic brain injury samples
title_full Network analysis applied to post-concussion symptoms in two mild traumatic brain injury samples
title_fullStr Network analysis applied to post-concussion symptoms in two mild traumatic brain injury samples
title_full_unstemmed Network analysis applied to post-concussion symptoms in two mild traumatic brain injury samples
title_short Network analysis applied to post-concussion symptoms in two mild traumatic brain injury samples
title_sort network analysis applied to post-concussion symptoms in two mild traumatic brain injury samples
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10398392/
https://www.ncbi.nlm.nih.gov/pubmed/37545717
http://dx.doi.org/10.3389/fneur.2023.1226367
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