Cited by 176Functional Brain Connectivity StudiesBrain Metastases and TreatmentTraumatic Brain Injury Research

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Traumatic brain injury impairs small-world topology

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Pandit, Anand S., Expert, Paul, Lambiotte, Renaud, Bonnelle, Valerie, Leech, Robert, Turkheimer, Federico E., Sharp, David J.·2013·Neurology

DOI 10.1212/wnl.0b013e3182929f38PMC PMC3908350

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Abstract

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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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: Pandit, Anand S.
Expert, Paul
Lambiotte, Renaud
Leech, Robert
Turkheimer, Federico E.
Sharp, David J.
Venue: Neurology
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 2013-05-14
Volume: 80
Issue: 20
Pages: 1826-1833
ISSN: 0028-3878 (ISSN-L)
1526-632X
DOI: 10.1212/wnl.0b013e3182929f38
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 › Oncology › Brain Metastases and Treatment
Health Sciences › Medicine › Clinical Neurology › 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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Traumatic brain injury impairs small-world topology

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