Traumatic brain injury impairs small-world topology
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BACKGROUND AND PURPOSE: Brain metastases are a common finding on brain MRI. However, the factors that dictate their size and distribution are incompletely understood. Our aim was to discover a statistical model that can account for the size distribution of parenchymal metastases in the brain as measured on contrast-enhanced MR imaging. MATERIALS AND METHODS: Tumor volumes were calculated on the basis of measured tumor diameters from contrast-enhanced T1-weighted spoiled gradient-echo images in 68 patients with untreated parenchymal metastatic disease. Tumor volumes were then placed in rank-order distributions and compared with 11 different statistical curve types. The resultant R2 values to assess goodness of fit were calculated. The top 2 distributions were then compared using the likelihood ratio test, with resultant R values demonstrating the relative likelihood of these distributions accounting for the observed data. RESULTS: Thirty-nine of 68 cases best fit a power distribution (mean R2 = 0.938 ± 0.050), 20 cases best fit an exponential distribution (mean R2 = 0.957 ± 0.050), and the remaining cases were scattered among the remaining distributions. Likelihood ratio analysis revealed that 66 of 68 cases had a positive mean R value (1.596 ± 1.316), skewing toward a power law distribution. CONCLUSIONS: The size distributions of untreated brain metastases favor a power law distribution. This finding suggests that metastases do not exist in isolation, but rather as part of a complex system. Furthermore, these results suggest that there may be a relatively small number of underlying variables that substantially influence the behavior of these systems. The identification of these variables could have a profound effect on our understanding of these lesions and our ability to treat them.
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In patients with mild TBI, networks had longer average path length, reduced overall cost, and reduced network efficiency compared with controls.
“In a study of patients with mild TBI, networks had a longer average path length, reduced overall cost, and reduced network efficiency compared with controls.73”
From Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery (2016) · cites this paper as [73]
TBI characteristically produced injury focused on the posterior cingulate cortex, known to be a critical hub in the normally functioning brain.
“TBI characteristically produced injury focused on the posterior cingulate cortex, known to be a critical hub in the normally functioning brain.”
From Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery (2016) · cites this paper as [73]
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- Authors
- Pandit, A. S., Expert, P., Lambiotte, R., Bonnelle, V., Leech, R., Turkheimer, F. E., & Sharp, D. J.
- Affiliations
- University of Namur (BE)
- From The Computational, Cognitive and Clinical Neuroimaging Laboratory (A.S.P., V.B., R.L., D.J.S.), The Division of Experimental Medicine, Imperial College London, Hammersmith Hospital Campus, London; Centre for Neuroimaging Sciences (P.E., F.E.T.), Institute of Psychiatry, London, UK; and Department of Mathematics/Naxys (R.L.), University of Namur, Namur, Belgium.
- ORCID
- Venue
- Neurology
- Published
- 2013-05-14
- Volume
- 80
- Issue
- 20
- Pages
- 1826-1833
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC3908350
- OpenAlex
- W2172177542
- Cited by
- 176
- References
- 39
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 5 · 2023: 11 · 2022: 16 · 2021: 12 · 2020: 18 · 2019: 16 · 2018: 10 · 2017: 20 · 2016: 17 · 2015: 17 · 2014: 16 · 2013: 8
- FWCI
- 10.60
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Neurology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- Repository of the University of Namur (submittedVersion)
- Spiral (Imperial College London) (submittedVersion)
- Funders
- National Institute for Health and Care Research (NIHR-RP-011-048)
- Engineering and Physical Sciences Research Council (EP/E049451/1)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Brain Metastases and Treatment
- Health Sciences › Medicine › Epidemiology › Traumatic Brain Injury Research
- Keywords
- traumatic brain injury, small-world networks, brain network topology, brain metastases, power-law distribution, exponential distribution, contrast-enhanced MRI, tumor volume
- MeSH terms
- Adolescent, Adult, Brain Injuries, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Nerve Net, Neuropsychological Tests, Young Adult
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