Evidence map›Paper›PMID 32540630›Full record

ArticleNeuroImage. Clinical2020

Role of the default mode resting-state network for cognitive functioning in malignant glioma patients following multimodal treatment.

Martin Kocher, Christiane Jockwitz, Svenja Caspers, Jan Schreiber, Ezequiel Farrher, Gabriele Stoffels, Christian Filss, Philipp Lohmann, Caroline Tscherpel, Maximilian I Ruge and 4 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 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

14 authors at 6 institutions in 1 country.

Martin KocherInstitute of Neuroscience and Medicine (INM-1, -3, -4), Research Center Juelich, Wilhelm-Johnen-Str., 52428 Juelich, Germany; Department of Stereotaxy and Functional Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital Cologne, Kerpener Str. 62, 50937 Cologne, Germany; Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne and Duesseldorf, Kerpener Str. 62, 50937 Cologne, Germany. Electronic address: martin.kocher@uk-koeln.de.
Christiane JockwitzInstitute of Neuroscience and Medicine (INM-1, -3, -4), Research Center Juelich, Wilhelm-Johnen-Str., 52428 Juelich, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Pauwelsstr. 30, 52074 Aachen, Germany.
Svenja CaspersInstitute of Neuroscience and Medicine (INM-1, -3, -4), Research Center Juelich, Wilhelm-Johnen-Str., 52428 Juelich, Germany; Juelich-Aachen Research Alliance (JARA)-Section JARA-Brain, Wilhelm-Johnen-Str., 52428 Juelich, Germany; Institute for Anatomy I, Medical Faculty, Heinrich Heine University Duesseldorf, Universitaetsstr. 1, 40225 Duesseldorf, Germany.
Jan SchreiberInstitute of Neuroscience and Medicine (INM-1, -3, -4), Research Center Juelich, Wilhelm-Johnen-Str., 52428 Juelich, Germany.
Ezequiel FarrherInstitute of Neuroscience and Medicine (INM-1, -3, -4), Research Center Juelich, Wilhelm-Johnen-Str., 52428 Juelich, Germany.
Gabriele StoffelsInstitute of Neuroscience and Medicine (INM-1, -3, -4), Research Center Juelich, Wilhelm-Johnen-Str., 52428 Juelich, Germany.
Christian FilssInstitute of Neuroscience and Medicine (INM-1, -3, -4), Research Center Juelich, Wilhelm-Johnen-Str., 52428 Juelich, Germany.
Philipp LohmannInstitute of Neuroscience and Medicine (INM-1, -3, -4), Research Center Juelich, Wilhelm-Johnen-Str., 52428 Juelich, Germany; Department of Stereotaxy and Functional Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital Cologne, Kerpener Str. 62, 50937 Cologne, Germany.
Caroline TscherpelInstitute of Neuroscience and Medicine (INM-1, -3, -4), Research Center Juelich, Wilhelm-Johnen-Str., 52428 Juelich, Germany; Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937 Cologne, Germany; Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne and Duesseldorf, Kerpener Str. 62, 50937 Cologne, Germany.
Maximilian I RugeDepartment of Stereotaxy and Functional Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital Cologne, Kerpener Str. 62, 50937 Cologne, Germany; Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne and Duesseldorf, Kerpener Str. 62, 50937 Cologne, Germany.
Gereon R FinkInstitute of Neuroscience and Medicine (INM-1, -3, -4), Research Center Juelich, Wilhelm-Johnen-Str., 52428 Juelich, Germany; Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937 Cologne, Germany.
Nadim J ShahInstitute of Neuroscience and Medicine (INM-1, -3, -4), Research Center Juelich, Wilhelm-Johnen-Str., 52428 Juelich, Germany; Institute of Neuroscience and Medicine 11, JARA, Research Center Juelich, Wilhelm-Johnen-Str., 52428 Juelich, Germany; Juelich-Aachen Research Alliance (JARA)-Section JARA-Brain, Wilhelm-Johnen-Str., 52428 Juelich, Germany; Department of Neurology, University Hospital Aachen, RWTH Aachen University, Pauwelsstr. 30, 52074 Aachen, Germany.
Norbert GalldiksInstitute of Neuroscience and Medicine (INM-1, -3, -4), Research Center Juelich, Wilhelm-Johnen-Str., 52428 Juelich, Germany; Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937 Cologne, Germany; Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne and Duesseldorf, Kerpener Str. 62, 50937 Cologne, Germany.
Karl-Josef LangenInstitute of Neuroscience and Medicine (INM-1, -3, -4), Research Center Juelich, Wilhelm-Johnen-Str., 52428 Juelich, Germany; Department of Nuclear Medicine, University Hospital Aachen, RWTH Aachen University, Pauwelsstr. 30, 52074 Aachen, Germany.
Forschungszentrum Jülich · DEUniversity Hospital Cologne · DEUniversitätsklinikum Aachen · DEJülich Aachen Research Alliance · DERWTH Aachen University · DEUniversity of Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProgressive cognitive decline following multimodal neurooncological treatment is a common observation in patients suffering from malignant glioma. Alterations of the default-mode network (DMN) represent a possible source of impaired neurocognitive functioning and were analyzed in these patients.

methodsEighty patients (median age, 51 years) with glioma (WHO grade IV glioblastoma, n = 57; WHO grade III anaplastic astrocytoma, n = 13; WHO grade III anaplastic oligodendroglioma, n = 10) and ECOG performance score 0-1 underwent resting-state functional MRI (rs-fMRI) and neuropsychological testing at a median interval of 13 months (range, 1-114 months) after initiation of therapy. For evaluation of structural and metabolic changes after treatment, anatomical MRI and amino acid PET using O-(2-[

resultsThe connectivity pattern within the DMN (12 nodes) of the glioma patients differed significantly from that of the healthy subjects but did not depend on age, tumor grade, time since treatment initiation, presence of residual/recurrent tumor, number of chemotherapy cycles received, or anticonvulsive medication. Small changes in the connectivity pattern were observed in patients who had more than one series of radiotherapy. In contrast, structural tissue changes located at or near the tumor site (including resection cavities, white matter lesions, edema, and tumor tissue) had a strong negative impact on the functional connectivity of the adjacent DMN nodes, resulting in a marked dependence of the connectivity pattern on tumor location. In the majority of neurocognitive domains, glioma patients performed significantly worse than healthy subjects. Correlation analysis revealed that reduced connectivity in the left temporal and parietal DMN nodes was associated with low performance in language processing and verbal working memory. Furthermore, connectivity of the left parietal DMN node also correlated with processing speed, executive function, and verbal as well as visual working memory. Overall DMN connectivity loss and cognitive decline were less pronounced in patients with higher education.

conclusionPersonalized treatment strategies for malignant glioma patients should consider the left parietal and temporal DMN nodes as vulnerable regions concerning neurocognitive outcome.

Indexed as

AdultAgedAged, 80 and overBrainCognitionCognitive DysfunctionFemaleGliomaHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMemory, Short-TermMiddle AgedNerve NetNeural PathwaysFunctional magnetic resonance imagingMalignant gliomaNeurocognitive testingPositron emission tomographyResting-state networks

Identifiers

PMID32540630
PMCPMC7298724
OpenAlexW3030239682

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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.