Altered grey matter structural covariance in chronic moderate–severe traumatic brain injury

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作者
Georgia F. Symons
Matthew C. Gregg
Amelia J. Hicks
Christopher C. Rowe
Sandy R. Shultz
Jennie L. Ponsford
Gershon Spitz
机构
[1] Monash University,Department of Neuroscience
[2] Monash-Epworth Rehabilitation Research Centre,Department of Molecular Imaging and Therapy
[3] Austin Health,Health Sciences
[4] Vancouver Island University,undefined
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Scientific Reports | / 14卷
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摘要
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.
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