Corpus Callosum Integrity Predicts Functional Outcomes in Acute Stroke: A Probabilistic Structural Connectivity Study
- Author:
Elena DE LA CALLE
1
;
Carles BIARNÉS
;
Marian MARTÍ-NAVAS
;
Esther DUARTE
;
Andrea MORGADO-PÉREZ
;
Mikel TERCEÑO
;
Yolanda SILVA
;
Santiago MEDRANO
;
Jaume CAPELLADES
;
Salvador PEDRAZA
;
Anira ESCRICHS
;
Pepus DAUNIS-I-ESTADELLA
;
Marc COMAS-CUFÍ
;
Luca SABA
;
Kambiz NAEL
;
Víctor PINEDA
;
Josep PUIG
Author Information
- Publication Type:Original Article
- From:Journal of Stroke 2026;28(1):126-135
- CountryRepublic of Korea
- Language:English
-
Abstract:
Background:and Purpose Stroke 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.
Methods:A 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.
Results:Baseline 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.
Conclusions:Predictive outcome markers from probabilistic structural disconnection mapping in acute stroke emphasize preserving interhemispheric corpus callosum and SMN connections.
