Evidence map›Paper›PMID 33080024›Full record

ArticleNeurosurgery2021

Alterations in Functional Connectomics Associated With Neurocognitive Changes Following Glioma Resection.

Kyle R Noll, Henry S Chen, Jeffrey S Wefel, Vinodh A Kumar, Ping Hou, Sherise D Ferguson, Ganesh Rao, Jason M Johnson, Donald F Schomer, Dima Suki and 2 more

Open access · greenAbstract read
In one paragraph

Article in Neurosurgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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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 at 1 institution in 1 country.

Kyle R NollDepartment of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Henry S ChenDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jeffrey S WefelDepartment of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Vinodh A KumarDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Ping HouDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Sherise D FergusonDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Ganesh RaoDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jason M JohnsonDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Donald F SchomerDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Dima SukiDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Sujit S PrabhuDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Ho-Ling LiuDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
The University of Texas MD Anderson Cancer Center · US

Funding

Multimodal MRI Biomarker of Mild Cognitive Impairment in Breast CancerR01NR014195 · NINR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KESLER, SHELLI R, WEFEL, JEFFREY SCOTT · 2012 to 2017
$2.5M
NINR NIH HHS R01 NR014195
6 · The paper itself

Abstract

backgroundDecline in neurocognitive functioning (NCF) often occurs following brain tumor resection. Functional connectomics have shown how neurologic insults disrupt cerebral networks underlying NCF, though studies involving patients with brain tumors are lacking.

objectiveTo investigate the impact of brain tumor resection upon the connectome and relationships with NCF outcome in the early postoperative period.

methodsA total of 15 right-handed adults with left perisylvian glioma underwent resting-state functional magnetic resonance imaging (rs-fMRI) and neuropsychological assessment before and after awake tumor resection. Graph theoretical analysis was applied to rs-fMRI connectivity matrices to calculate network properties. Network properties and NCF measures were compared across the pre- to postoperative periods with matched pairs Wilcoxon signed-rank tests. Associations between pre- to postoperative change in network and NCF measures were determined with Spearman rank-order correlations (ρ).

resultsA majority of the sample showed postoperative decline on 1 or more NCF measures. Significant postoperative NCF decline was found across measures of verbal memory, processing speed, executive functioning, receptive language, and a composite index. Regarding connectomic properties, betweenness centrality and assortativity were significantly smaller postoperatively, and reductions in these measures were associated with better NCF outcomes. Significant inverse associations (ρ = -.51 to -.78, all P < .05) were observed between change in language, executive functioning, and learning and memory, and alterations in segregation, centrality, and resilience network properties.

conclusionDecline in NCF was common shortly following resection of glioma involving eloquent brain regions, most frequently in verbal learning/memory and executive functioning. Better postoperative outcomes accompanied reductions in centrality and resilience connectomic measures.

Indexed as

Mental Status and Dementia TestsAdultBrain NeoplasmsCognitionConnectomeCraniotomyExecutive FunctionFemaleGliomaHumansMagnetic Resonance ImagingMaleMemoryMiddle AgedNerve NetProspective StudiesBrain tumorConnectomicsFunctional imagingGliomaNeurocognitive function

Identifiers

PMID33080024
PMCPMC7884148
OpenAlexW3093933665

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.