Evidence map›Paper›PMID 37067658›Full record

ArticleBrain imaging and behavior2023

The longitudinal relation between executive functioning and multilayer network topology in glioma patients.

Marike R van Lingen, Lucas C Breedt, Jeroen J G Geurts, Arjan Hillebrand, Martin Klein, Mathilde C M Kouwenhoven, Shanna D Kulik, Jaap C Reijneveld, Cornelis J Stam, Philip C De Witt Hamer and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Brain imaging and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 14 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

13 authors at 4 institutions in 1 country.

Marike R van LingenDepartment of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, de Boelelaan 1108, Amsterdam, the Netherlands. m.vanlingen@amsterdamumc.nl.
Lucas C BreedtDepartment of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, de Boelelaan 1108, Amsterdam, the Netherlands.
Jeroen J G GeurtsDepartment of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, de Boelelaan 1108, Amsterdam, the Netherlands.
Arjan HillebrandAmsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands.
Martin KleinDepartment of Medical Psychology, Amsterdam UMC location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.
Mathilde C M KouwenhovenDepartment of Neurology, Amsterdam UMC location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.
Shanna D KulikDepartment of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, de Boelelaan 1108, Amsterdam, the Netherlands.
Jaap C ReijneveldDepartment of Neurology, Amsterdam UMC location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.
Cornelis J StamAmsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands.
Philip C De Witt HamerDepartment of Neurosurgery, Amsterdam UMC location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.
Mona L M ZimmermannDepartment of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, de Boelelaan 1108, Amsterdam, the Netherlands.
Fernando A N SantosDepartment of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, de Boelelaan 1108, Amsterdam, the Netherlands.
Linda DouwDepartment of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, de Boelelaan 1108, Amsterdam, the Netherlands. l.douw@amsterdamumc.nl.
Amsterdam Neuroscience · NLVrije Universiteit Amsterdam · NLAmsterdam University Medical Centers · NLNetherlands Institute for Advanced Study in the Humanities and Social Sciences · NL

Funding

Dutch Research Council (Veni) 016.146.086Dutch Research Council (Vidi) 198.015EpilepsieNL 08-08
6 · The paper itself

Abstract

Many patients with glioma, primary brain tumors, suffer from poorly understood executive functioning deficits before and/or after tumor resection. We aimed to test whether frontoparietal network centrality of multilayer networks, allowing for integration across multiple frequencies, relates to and predicts executive functioning in glioma. Patients with glioma (n = 37) underwent resting-state magnetoencephalography and neuropsychological tests assessing word fluency, inhibition, and set shifting before (T1) and one year after tumor resection (T2). We constructed binary multilayer networks comprising six layers, with each layer representing frequency-specific functional connectivity between source-localized time series of 78 cortical regions. Average frontoparietal network multilayer eigenvector centrality, a measure for network integration, was calculated at both time points. Regression analyses were used to investigate associations with executive functioning. At T1, lower multilayer integration (p = 0.017) and epilepsy (p = 0.006) associated with poorer set shifting (adj. R

Indexed as

Cognitive DysfunctionGliomaCross-Sectional StudiesExecutive FunctionHumansMagnetic Resonance ImagingCognitionEigenvector centralityFunctional connectivityGraph theoryNetwork neuroscience

Identifiers

PMID37067658
PMCPMC10435610
OpenAlexW4366084164

What OpenQuestion holds

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LicenceCC BY
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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.