| Title: |
Altered grey matter structural covariance in chronic moderate–severe traumatic brain injury |
| Authors: |
Symons, GF; Gregg, MC; Hicks, AJ; Rowe, CC; Shultz, SR; Ponsford, JL; Spitz, G |
| Publisher Information: |
Springer Science and Business Media LLC |
| Publication Year: |
2024 |
| Collection: |
The University of Melbourne: Digital Repository |
| Description: |
Traumatic brain injury (TBI) alters brain network connectivity. Structural covariance networks (SCNs) reflect morphological covariation between brain regions. SCNs may elucidate how altered brain network topology in TBI influences long-term outcomes. Here, we assessed whether SCN organisation is altered in individuals with chronic moderate-severe TBI (≥ 10 years post-injury) and associations with cognitive performance. This case-control study included fifty individuals with chronic moderate-severe TBI compared to 75 healthy controls recruited from an ongoing longitudinal head injury outcome study. SCNs were constructed using grey matter volume measurements from T1-weighted MRI images. Global and regional SCN organisation in relation to group membership and cognitive ability was examined using regression analyses. Globally, TBI participants had reduced small-worldness, longer characteristic path length, higher clustering, and higher modularity globally (p < 0.05). Regionally, TBI participants had greater betweenness centrality (p < 0.05) in frontal and central areas of the cortex. No significant associations were observed between global network measures and cognitive ability in participants with TBI (p > 0.05). Chronic moderate-severe TBI was associated with a shift towards a more segregated global network topology and altered organisation in frontal and central brain regions. There was no evidence that SCNs are associated with cognition. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| ISSN: |
2045-2322 |
| Relation: |
https://hdl.handle.net/11343/352700 |
| Availability: |
https://hdl.handle.net/11343/352700 |
| Rights: |
https://creativecommons.org/licenses/by/4.0 ; CC BY |
| Accession Number: |
edsbas.C29A8592 |
| Database: |
BASE |