Observational study identifies predictors of cerebral hemodynamic response to NMES in subacute stroke patients, suggesting personalized treatment approaches.
Background: Enhancing cerebral perfusion after stroke may aid recovery, but individual responsiveness to neuromuscular electrical stimulation (NMES) remains unclear. Objective: To identify predictors of cerebral hemodynamic response to common peroneal NMES in subacute stroke. Methods: In this observational study (RETRAIN Phase 1, NCT06614400), 18 patients underwent functional near-infrared spectroscopy (fNIRS) during NMES at varying postures and intensities. Responders were defined by top-quartile increases in oxygenated hemoglobin (HbO). Predictors were assessed using AUROC screening and LASSO logistic regression with crossvalidation. Results: The final model (AUROC = 0.723) retained 13 predictors, including cortical lesion location (OR = 1.66), atrial fibrillation (OR = 1.28), and ASPECTS thalamic and caudate involvement. Permutation analysis confirmed predictor robustness. Conclusion: This study demonstrates a clinically interpretable machine learning framework to stratify stroke patients by NMES responsiveness. Larger studies with outcome validation are warranted.
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Chatterjee et al. (2025) studied this question.
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