Evidence map›Paper›PMID 42204300›Full record

ArticleScientific reports2026

Structural connectome and cognitive performance in young stroke survivors.

Esther M Boot, Mijntje M I Schellekens, Hao Li, Merel S Ekker, Jamie I Verhoeven, E Verburgt, M Immens, Nina A Hilkens, F J A Meijer, R P C Kessels and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Esther M BootDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Reinier Postlaan 4, PO-Box 9101, 6500 HB, Nijmegen, The Netherlands.
Mijntje M I SchellekensDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Reinier Postlaan 4, PO-Box 9101, 6500 HB, Nijmegen, The Netherlands.
Hao LiDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Reinier Postlaan 4, PO-Box 9101, 6500 HB, Nijmegen, The Netherlands.
Merel S EkkerDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Reinier Postlaan 4, PO-Box 9101, 6500 HB, Nijmegen, The Netherlands.
Jamie I VerhoevenDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Reinier Postlaan 4, PO-Box 9101, 6500 HB, Nijmegen, The Netherlands.
E VerburgtDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Reinier Postlaan 4, PO-Box 9101, 6500 HB, Nijmegen, The Netherlands.
M ImmensDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Reinier Postlaan 4, PO-Box 9101, 6500 HB, Nijmegen, The Netherlands.
Nina A HilkensDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Reinier Postlaan 4, PO-Box 9101, 6500 HB, Nijmegen, The Netherlands.
F J A MeijerDepartment of Radiology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands.
R P C KesselsCognition and Behaviour, Center for Cognition, Donders Institute for Brain, Radboud University, Postbus 9104, 6500 HE, Nijmegen, The Netherlands.
Frank-Erik de LeeuwDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Reinier Postlaan 4, PO-Box 9101, 6500 HB, Nijmegen, The Netherlands.
Anil M TuladharDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Reinier Postlaan 4, PO-Box 9101, 6500 HB, Nijmegen, The Netherlands. Anil.Tuladhar@radboudumc.nl.
ODYSSEY Investigators

Funding

Hartstichting 2014 T060Hartstichting 2016T044Koninklijke Nederlandse Akademie van Wetenschappen 016-126-351
6 · The paper itself

Abstract

We aimed to study the relationship between brain network measures and cognitive performance in this population, focusing on hub regions. A sub-cohort of young stroke survivors (ages 18-49) with confirmed cerebral ischemia from the ODYSSEY study underwent MRI and neuropsychological assessments at baseline (n = 60) and follow-up (n = 46) up to 2 years, the discovery cohort. Additionally, a validation cohort of young stroke survivors with confirmed cerebral ischemia who had baseline standard MRI protocol and neuropsychological assessment (n = 423), as well as follow-up neuropsychological assessment (n = 288), was included for validation analysis. We used diffusion tensor imaging (DTI) based connectivity matrices for graph analysis. Lesion impact scores (combining affected voxel percentage and mean betweenness centrality) and rich club scores (quantifying affected voxels in rich club areas) were calculated using a normative brain atlas derived from DTI data from 23 stroke-free controls. Participants were categorized having no/mild or major vascular cognitive disorder (VCD) and group differences were examined. Among 60 participants (median age: 39.2 years (IQR 27.9-46.2) and 52% women), 20 were classified as having major VCD. The major VCD group exhibited larger lesion volumes (p = 0.01), lower global efficiency (p = 0.03) and local efficiency (p = 0.05) compared to the no/mild VCD group at baseline and follow-up. However, after adjusting for network density in sensitivity analyses, these differences in global and local efficiency were no longer statistically significant. Univariable logistic regression analyses revealed that the Lesion Impact Score were a significant predictor for VCD at follow-up and the Rich Club Score predicted VCD at baseline and follow-up. However, in multivariable logistic regression, both the Lesion Impact Score and the Rich Club Score did not retain predictive significance. Following validation analysis, no predictive values were observed for any of these scores. Our findings indicate a significant association between brain network measures and cognitive function in young stroke survivors, indicating a role of network disruption in post-stroke cognitive impairment. However, our study did not reveal specific associations with hub regions.

Indexed as

BrainCognitionConnectomeStrokeAdolescentAdultDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsSurvivorsYoung Adult

Identifiers

PMID42204300
PMCPMC13448838

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.