Evidence map›Paper›PMID 31894519›Full record

ArticleJournal of neuro-oncology2020

Beyond eloquence and onto centrality: a new paradigm in planning supratentorial neurosurgery.

Syed Ali Ahsan, Kassem Chendeb, Robert G Briggs, Luke R Fletcher, Ryan G Jones, Arpan R Chakraborty, Cameron E Nix, Christina C Jacobs, Alison M Lack, Daniel T Griffin and 2 more

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Article in Journal of neuro-oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

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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

12 authors.

Syed Ali AhsanCenter for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 3, Level 7, Barker Street, Randwick, Sydney, NSW, 2031, Australia.
Kassem ChendebCenter for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 3, Level 7, Barker Street, Randwick, Sydney, NSW, 2031, Australia.
Robert G BriggsDepartment of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, OK, USA.
Luke R FletcherDepartment of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, OK, USA.
Ryan G JonesDepartment of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, OK, USA.
Arpan R ChakrabortyDepartment of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, OK, USA.
Cameron E NixDepartment of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, OK, USA.
Christina C JacobsDepartment of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, OK, USA.
Alison M LackDepartment of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, OK, USA.
Daniel T GriffinDepartment of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, OK, USA.
Charles TeoCenter for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 3, Level 7, Barker Street, Randwick, Sydney, NSW, 2031, Australia.
Michael Edward SughrueCenter for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 3, Level 7, Barker Street, Randwick, Sydney, NSW, 2031, Australia. sughruevs@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMinimizing post-operational neurological deficits as a result of brain surgery has been one of the most pertinent endeavours of neurosurgical research. Studies have utilised fMRIs, EEGs and MEGs in order to delineate and establish eloquent areas, however, these methods have not been utilized by the wider neurosurgical community due to a lack of clinical endpoints. We sought to ascertain if there is a correlation between graph theory metrics and the neurosurgical notion of eloquent brain regions. We also wanted to establish which graph theory based nodal centrality measure performs the best in predicting eloquent areas.

methodsWe obtained diffusion neuroimaging data from the Human Connectome Project (HCP) and applied a parcellation scheme to it. This enabled us to construct a weighted adjacency matrix which we then analysed. Our analysis looked at the correlation between PageRank centrality and eloquent areas. We then compared PageRank centrality to eigenvector centrality and degree centrality to see what the best measure of empirical neurosurgical eloquence was.

resultsAreas that are considered neurosurgically eloquent tended to be predicted by high PageRank centrality. By using summary scores for the three nodal centrality measures we found that PageRank centrality best correlated to empirical neurosurgical eloquence.

conclusionThe notion of eloquent areas is important to neurosurgery and graph theory provides a mathematical framework to predict these areas. PageRank centrality is able to consistently find areas that we consider eloquent. It is able to do so better than eigenvector and degree central measures.

Indexed as

AdultAgedBrainBrain MappingFemaleHealth PlanningHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysNeuroimagingNeurosurgerySupratentorial NeoplasmsYoung AdultCentralityDegreeDiffusion spectrum imagingDSIDTIEigenvectorGraph theoryNeuro-oncologyNeurosurgeryPagerankStrength

Identifiers

PMID31894519

What OpenQuestion holds

Textmetadata
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Registered trials

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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.