Network Analysis Applied to Post-concussion Symptoms in Two Mild Traumatic Brain Injury Samples

Simple item page
aut.relation.journalFrontiers in Neurology
aut.relation.startpage1226367
aut.relation.volume14
dc.contributor.authorFaulkner, Josh W
dc.contributor.authorTheadom, Alice
dc.contributor.authorSnell, Deborah L
dc.contributor.authorWilliams, Matt N
dc.date.accessioned2023-08-02T03:03:07Z
dc.date.available2023-08-02T03:03:07Z
dc.date.issued2023-07-20
dc.description.abstractObjective: 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.
dc.identifier.citationFrontiers in Neurology, ISSN: 1664-2295 (Print); 1664-2295 (Online), Frontiers Media SA, 14, 1226367-. doi: 10.3389/fneur.2023.1226367
dc.identifier.doi10.3389/fneur.2023.1226367
dc.identifier.issn1664-2295
dc.identifier.issn1664-2295
dc.identifier.urihttp://hdl.handle.net/10292/16508
dc.publisherFrontiers Media SA
dc.relation.urihttps://www.frontiersin.org/articles/10.3389/fneur.2023.1226367/full
dc.rights.accessrightsOpenAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject5203 Clinical and Health Psychology
dc.subject52 Psychology
dc.subjectNeurosciences
dc.subjectTraumatic Head and Spine Injury
dc.subjectBrain Disorders
dc.subjectClinical Research
dc.subjectPhysical Injury - Accidents and Adverse Effects
dc.subjectTraumatic Brain Injury (TBI)
dc.subjectMental health
dc.subject1103 Clinical Sciences
dc.subject1109 Neurosciences
dc.subject1701 Psychology
dc.subject3202 Clinical sciences
dc.subject3209 Neurosciences
dc.subject5202 Biological psychology
dc.titleNetwork Analysis Applied to Post-concussion Symptoms in Two Mild Traumatic Brain Injury Samples
dc.typeJournal Article
pubs.elements-id519421
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Network analysis applied to post-concussion symptoms in two mild traumatic brain injury samples.pdf
Size:
1.37 MB
Format:
Adobe Portable Document Format
Description:
Journal article
Download
Collections
School of Clinical Sciences