Evidence map›Paper›PMID 41656637›Full record

ArticleJournal of stroke2026

Corpus Callosum Integrity Predicts Functional Outcomes in Acute Stroke: A Probabilistic Structural Connectivity Study.

Elena de la Calle, Carles Biarnés, Marian Martí-Navas, Esther Duarte, Andrea Morgado-Pérez, Mikel Terceño, Yolanda Silva, Santiago Medrano, Jaume Capellades, Salvador Pedraza and 7 more

Abstract read
In one paragraph

Article in Journal of stroke, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. BMJ open · 2026
    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

17 authors.

Elena de la CalleDepartment of Radiology-Medical Imaging (IDI), Girona Biomedical Research Institute (IdIBGi), Dr. Josep Trueta University Hospital, Girona, Spain.
Carles BiarnésDepartment of Radiology-Medical Imaging (IDI), Girona Biomedical Research Institute (IdIBGi), Dr. Josep Trueta University Hospital, Girona, Spain.
Marian Martí-NavasDepartment of Radiology-Medical Imaging (IDI), Girona Biomedical Research Institute (IdIBGi), Dr. Josep Trueta University Hospital, Girona, Spain.
Esther DuarteRehabilitation Research Group, Hospital del Mar Research Institute, Barcelona, Spain.
Andrea Morgado-PérezRehabilitation Research Group, Hospital del Mar Research Institute, Barcelona, Spain.
Mikel TerceñoStroke Unit, Department of Neurology, Hospital Universitari de Girona Doctor Josep Trueta, Girona, Spain.
Yolanda SilvaStroke Unit, Department of Neurology, Hospital Universitari de Girona Doctor Josep Trueta, Girona, Spain.
Santiago MedranoDepartment of Radiology CDI, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clinic of Barcelona, Barcelona, Spain.
Jaume CapelladesDepartment of Neuroradiology, Hospital del Mar, Barcelona, Spain.
Salvador PedrazaDepartment of Radiology CDI, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clinic of Barcelona, Barcelona, Spain.
Anira EscrichsComputational Neuroscience Group, Center for Brain and Cognition, Faculty of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
Pepus Daunis-I-EstadellaDepartment of Computer Science, Applied Mathematics and Statistics, University of Girona, Girona, Spain.
Marc Comas-CufíDepartment of Computer Science, Applied Mathematics and Statistics, University of Girona, Girona, Spain.
Luca SabaDepartment of Radiology and University of Cagliari, Cagliari, Italy.
Kambiz NaelDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Víctor PinedaDepartment of Radiology-Medical Imaging (IDI), Girona Biomedical Research Institute (IdIBGi), Dr. Josep Trueta University Hospital, Girona, Spain.
Josep PuigDepartment of Radiology CDI, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clinic of Barcelona, Barcelona, Spain.

Funding

Fundació la Marató de TV3 201725.31
6 · The paper itself

Abstract

background and purposeStroke impairs cognition and movement. Although clinical severity and infarct volume can predict functional outcomes, variability in patient responses requires advanced structural and functional connectivity methods. Disconnection markers were tested to predict functional outcomes after acute ischemic stroke using diffusion tensor imaging.

methodsA probabilistic approach was used to quantify brain damage from white matter (WM) disconnections affecting cortical areas, using lesion masking on a tractography atlas and parcellation of gray matter into functional network nodes. Forty-three patients with acute ischemic stroke were grouped according to functional improvement (change in modified Rankin Scale score from 3-5 at discharge to 0-2 at 3-month follow-up). Significantly different structural disconnection measures between the groups were combined into a principal component and included in a logistic regression model to evaluate prediction accuracy. Fractional anisotropy (FA), radial diffusivity (RD), axial diffusivity, and mean diffusivity of the disconnected WM tracts were analyzed.

resultsBaseline structural disconnections in the mid-posterior and central corpus callosum predicted poor functional outcomes at 3 months, and increased somatomotor network (SMN) disconnection severity correlated with poor recovery. Age, National Institutes of Health Stroke Scale score, and structural disconnections significantly predicted functional outcomes in logistic regression models. The first principal component analysis of the dysconnectivity measures explained 88% of the total variance and improved prediction accuracy from 53.8% to 76.9%. Differences in FA and RD in the region of interest of the corpus callosum between outcome groups were statistically significant.

conclusionsPredictive outcome markers from probabilistic structural disconnection mapping in acute stroke emphasize preserving interhemispheric corpus callosum and SMN connections.

Indexed as

ConnectivityDamageMagnetic resonance imagingOutcomeStroke

Identifiers

PMID41656637
PMCPMC12883888

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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.