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Predicting DBS Outcomes in Dystonia Using Wearable Gait Sensors

Predicting DBS Outcomes in Dystonia Using Wearable Gait Sensors

Recruiting
18-70 years
All
Phase N/A

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Overview

This study aims to investigate whether preoperative gait characteristics, measured by wearable sensors, can predict the clinical outcomes of Deep Brain Stimulation (DBS) in patients with dystonia. Participants scheduled for DBS surgery will undergo gait analysis using wearable sensors before the procedure. Clinical assessments, including the Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS) and the SF-36 Health Survey, will be conducted preoperatively and postoperatively to evaluate surgical efficacy and quality of life. The study seeks to identify gait biomarkers that correlate with optimal DBS response.

Description

This study aims to investigate whether preoperative gait characteristics, measured by wearable sensors, can predict the clinical outcomes of Deep Brain Stimulation (DBS) in patients with dystonia. Participants scheduled for DBS surgery will undergo gait analysis using wearable sensors before the procedure. Clinical assessments, including the Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS) and the SF-36 Health Survey, will be conducted preoperatively and postoperatively to evaluate surgical efficacy and quality of life. The study seeks to identify gait biomarkers that correlate with optimal DBS response.

Eligibility

Inclusion Criteria:

  • Clinically diagnosed with primary or isolated dystonia.
  • Scheduled to undergo bilateral Deep Brain Stimulation (DBS) surgery.
  • Able to walk independently or with assistance (sufficient to perform gait analysis).
  • Willing to participate and sign informed consent.

Exclusion Criteria:

  • History of other neurological disorders affecting gait (e.g., stroke, severe neuropathy).
  • Significant orthopedic issues preventing gait assessment.
  • Cognitive impairment preventing cooperation with study procedures.
  • Previous functional neurosurgery.

Study details
    Dystonia

NCT07323602

Ruijin Hospital

31 January 2026

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