Evidence map›Paper›PMID 28319187›Full record

ArticlePloS one2017

The impact of high grade glial neoplasms on human cortical electrophysiology.

S Kathleen Bandt, Jarod L Roland, Mrinal Pahwa, Carl D Hacker, David T Bundy, Jonathan D Breshears, Mohit Sharma, Joshua S Shimony, Eric C Leuthardt

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 41% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

9 authors at 4 institutions in 1 country.

S Kathleen BandtDepartment of Neurological Surgery, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Jarod L RolandDepartment of Neurological Surgery, Washington University, St. Louis, Missouri, United States of America.
Mrinal PahwaDepartment of Biomedical Engineering, Washington University, St. Louis, Missouri, United States of America.
Carl D HackerDepartment of Biomedical Engineering, Washington University, St. Louis, Missouri, United States of America.
David T BundyDepartment of Rehabilitation Medicine, University of Kansas, Kansas City, Kansas, United States of America.
Jonathan D BreshearsDepartment of Neurological Surgery, University of California San Francisco, San Francisco, California, United States of America.
Mohit SharmaDepartment of Biomedical Engineering, Washington University, St. Louis, Missouri, United States of America.
Joshua S ShimonyWashington University School of Medicine, St. Louis, Missouri, United States of America.
Eric C LeuthardtDepartment of Neurological Surgery, Washington University, St. Louis, Missouri, United States of America.
Washington University in St. Louis · USNeurological Surgery · USMallinckrodt (United States) · USUniversity of Kansas · US

Funding

WASHINGTON UNIVERSITY NEUROSURGERY RESIDENT RESEARCH EDUCATION PROGRAMR25NS090978 · NINDS · WASHINGTON UNIVERSITY · PI ZIPFEL, GREGORY J · 2015 to 2023
$2.1M
NINDS NIH HHS R25 NS090978
6 · The paper itself

Abstract

objectiveThe brain's functional architecture of interconnected network-related oscillatory patterns in discrete cortical regions has been well established with functional magnetic resonance imaging (fMRI) studies or direct cortical electrophysiology from electrodes placed on the surface of the brain, or electrocorticography (ECoG). These resting state networks exhibit a robust functional architecture that persists through all stages of sleep and under anesthesia. While the stability of these networks provides a fundamental understanding of the organization of the brain, understanding how these regions can be perturbed is also critical in defining the brain's ability to adapt while learning and recovering from injury.

methodsPatients undergoing an awake craniotomy for resection of a tumor were studied as a unique model of an evolving injury to help define how the cortical physiology and the associated networks were altered by the presence of an invasive brain tumor.

resultsThis study demonstrates that there is a distinct pattern of alteration of cortical physiology in the setting of a malignant glioma. These changes lead to a physiologic sequestration and progressive synaptic homogeneity suggesting that a de-learning phenomenon occurs within the tumoral tissue compared to its surroundings. SIGNIFICANCE: These findings provide insight into how the brain accommodates a region of "defunctionalized" cortex. Additionally, these findings may have important implications for emerging techniques in brain mapping using endogenous cortical physiology.

Indexed as

ElectrocorticographyAgedBrainBrain NeoplasmsCraniotomyFemaleGlioblastomaHumansMagnetic Resonance ImagingMaleMiddle AgedSignal Processing, Computer-AssistedWakefulness

Identifiers

PMID28319187
PMCPMC5358752
OpenAlexW2603735558

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.