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

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Traumatic brain injury impairs small-world topology

Open access
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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Metadata

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
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
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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