Clinical Scorecard: Effectiveness and Cortical Network Alterations of a Multimodal Sensory Feedback Robot for Upper-Limb Rehabilitation in Post-Stroke Patients: A Randomized Controlled Study

At a Glance

Key Highlights

• Multimodal sensory-feedback robot-assisted training improved Fugl-Meyer Assessment scores significantly compared to conventional rehabilitation.
• Functional near-infrared spectroscopy (fNIRS) indicated increased fronto-motor connectivity in the experimental group post-intervention.
• No significant baseline differences in cortical measures between groups; significant changes observed post-intervention.

Guideline-Based Recommendations

Diagnosis

• Stroke diagnosed using 2019 Chinese key diagnostic criteria and verified through CT or MRI.

Management

• Supplement conventional rehabilitation with multimodal sensory-feedback robot-assisted training.

Monitoring & Follow-up

• Utilize fNIRS to assess cortical activation and connectivity during rehabilitation.

Risks

• Exclusion criteria include clinical worsening, psychiatric illness, and orthopedic disorders affecting limb movement.

Patient & Prescribing Data

38 individuals with stroke, aged 40-75 years.

Robot-assisted training provides scalable, intensive rehabilitation opportunities.

Clinical Best Practices

• Incorporate multimodal sensory feedback in rehabilitation protocols.
• Ensure patient engagement through interactive and adaptive training methods.

Related Resources & Content

• Clinical trial registration