Evidence map›Paper›PMID 38196739›Full record

ArticleNeuro-oncology advances

Structural connectome-based predictive modeling of cognitive deficits in treated glioma patients.

Michel Friedrich, Christian P Filss, Philipp Lohmann, Felix M Mottaghy, Gabriele Stoffels, Carolin Weiss Lucas, Maximilian I Ruge, N Jon Shah, Svenja Caspers, Karl-Josef Langen and 3 more

Open access · goldAbstract read
In one paragraph

Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Mapping Cognitive Oncology: A Decade of Trends and Research Fronts.Medical sciences (Basel, Switzerland) · 2025
    Review
  5. Review
  6. Article
  7. Review
  8. 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

13 authors at 4 institutions in 1 country.

Michel FriedrichInstitute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany.
Christian P FilssInstitute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany.
Philipp LohmannInstitute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany.ORCID https://orcid.org/0000-0002-5360-046X
Felix M MottaghyDepartment of Nuclear Medicine, RWTH University Hospital Aachen, RWTH University Aachen, Aachen, Germany.
Gabriele StoffelsInstitute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany.ORCID https://orcid.org/0000-0001-7114-1941
Carolin Weiss LucasDepartment of General Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Maximilian I RugeCenter of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany.
N Jon ShahInstitute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany.
Svenja CaspersInstitute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany.
Karl-Josef LangenInstitute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany.
Gereon R FinkInstitute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany.
Norbert GalldiksInstitute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany.ORCID https://orcid.org/0000-0002-2485-1796
Martin KocherInstitute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany.ORCID https://orcid.org/0000-0002-5674-9227
Forschungszentrum Jülich · DEUniversitätsklinikum Aachen · DEUniversity Hospital Cologne · DEUniversity of Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In glioma patients, tumor growth and subsequent treatments are associated with various types of brain lesions. We hypothesized that cognitive functioning in these patients critically depends on the maintained structural connectivity of multiple brain networks. Methods: The study included 121 glioma patients (median age, 52 years; median Eastern Cooperative Oncology Group performance score 1; CNS-WHO Grade 3 or 4) after multimodal therapy. Cognitive performance was assessed by 10 tests in 5 cognitive domains at a median of 14 months after treatment initiation. Hybrid amino acid PET/MRI using the tracer O-(2-[ Results: Compared to healthy controls ( Conclusions: These results suggest that the cognitive performance of pretreated glioma patients is strongly related to structural connectivity between multiple brain networks and depends on the integrity of known network hubs also involved in other neurological disorders.

Indexed as

brain networkscognitive functionsdiffusion-weighted imaginggliomastructural connectivity

Identifiers

PMID38196739
PMCPMC10776208
OpenAlexW4388686387

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.