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June 17, 2026NeuroImage StrokeOpen Access

The relationship between functional recovery and indirect disconnection measures in stroke

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Authors

LPLorenzo PiniABAntonio Luigi BisognoGAGiorgia Adamo

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Overview

Retrospective analysis examines how disconnectivity predicts recovery in stroke patients, indicating variable outcomes.

Key Points

  • This research aims to evaluate the predictive value of disconnection measures for stroke recovery compared to lesion characteristics.
  • Included stroke patients with structural MRI or CT and 6- or 12-month Stroke Impact Scale scores.
  • Computed lesion volume, location, and disconnection measures using normative atlases.
  • Compared models with disconnection features against a reference model using demographic and clinical variables.
  • The model incorporating functional topology predicted mobility with R²=0.202, outperforming the reference model with R²=0.165 (p=0.007).
  • Mobility prediction increased to 33% when functional topology was added to clinical data.
  • Predictability for cognition and emotion factors remained low across all models.

Cite This Study

Pini et al. (2026) studied this question.

synapsesocial.com/papers/6a323aa6d50b63ecad205a37https://doi.org/10.1016/j.ynist.2026.100003
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