Evidence map›Paper›PMID 28486817›Full record

Trial reportBrain connectivity2017

Altered Network Topology in Patients with Primary Brain Tumors After Fractionated Radiotherapy.

Naeim Bahrami, Tyler M Seibert, Roshan Karunamuni, Hauke Bartsch, AnithaPriya Krishnan, Nikdokht Farid, Jona A Hattangadi-Gluth, Carrie R McDonald

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Brain connectivity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Graph Theory and Modeling of Network Topology in Clinical Neurosurgery.Advances in experimental medicine and biology · 2024
    Review
  9. Article
  10. Article
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  12. Article
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  14. Article
  15. Article
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  18. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Naeim Bahrami1 Center for Multimodal Imaging and Genetics (CMIG), University of California , San Diego, La Jolla, California.
Tyler M Seibert3 Multimodal Imaging Laboratory, University of California , San Diego, La Jolla, California.
Roshan Karunamuni5 Department of Radiation Medicine, University of California , San Diego, La Jolla, California.
Hauke Bartsch3 Multimodal Imaging Laboratory, University of California , San Diego, La Jolla, California.
AnithaPriya Krishnan3 Multimodal Imaging Laboratory, University of California , San Diego, La Jolla, California.
Nikdokht Farid3 Multimodal Imaging Laboratory, University of California , San Diego, La Jolla, California.
Jona A Hattangadi-Gluth5 Department of Radiation Medicine, University of California , San Diego, La Jolla, California.
Carrie R McDonald1 Center for Multimodal Imaging and Genetics (CMIG), University of California , San Diego, La Jolla, California.

Funding

San Diego Clinical and Translational Research InstituteUL1TR000100 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S · 2012 to 2015
$19.7M
Multimodal Imaging of Language in the Preoperative Evaluation of EpilepsyR01NS065838 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCDONALD, CARRIE R · 2010 to 2018
$4.4M
UTMB Clinical and Translational Science AwardKL2TR001441 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI AMEREDES, BILL T · 2015 to 2024
$4.0M
NCATS NIH HHS KL2 TR001441NCATS NIH HHS UL1 TR000100NINDS NIH HHS R01 NS065838
6 · The paper itself

Abstract

Radiation therapy (RT) is a critical treatment modality for patients with brain tumors, although it can cause adverse effects. Recent data suggest that brain RT is associated with dose-dependent cortical atrophy, which could disrupt neocortical networks. This study examines whether brain RT affects structural network properties in brain tumor patients. We applied graph theory to MRI-derived cortical thickness estimates of 54 brain tumor patients before and after RT. Cortical surfaces were parcellated into 68 regions and correlation matrices were created for patients pre- and post-RT. Significant changes in graph network properties were tested using nonparametric permutation tests. Linear regressions were conducted to measure the association between dose and changes in nodal network connectivity. Increases in transitivity, modularity, and global efficiency (n = 54, p < 0.0001) were all observed in patients post-RT. Decreases in local efficiency (n = 54, p = 0.007) and clustering coefficient (n = 54, p = 0.005) were seen in regions receiving higher RT doses, including the inferior parietal lobule and rostral anterior cingulate. These findings demonstrate alterations in global and local network topology following RT, characterized by increased segregation of brain regions critical to cognition. These pathological network changes may contribute to the late delayed cognitive impairments observed in many patients following brain RT.

Indexed as

Dose Fractionation, RadiationAdaptation, PhysiologicalAdultAgedBrainBrain NeoplasmsConnectomeCranial IrradiationDose-Response Relationship, RadiationFemaleHumansMaleMiddle AgedNerve NetTreatment OutcomeYoung Adultbrain tumorgraph theorymagnetic resonance imagingradiotherapystructural network connectivity

Identifiers

PMID28486817
PMCPMC5510052

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.