Parkinson's Disease Motor Training Data from VR and Music Therapy Clinical Trial

A secondary analysis dataset from a quasi-randomized clinical trial involving 20 participants with idiopathic Parkinson's disease. The data compares immersive virtual reality gait training alone versus combined with Neurologic Music Therapy, with outcomes measured across 12 rehabilitation sessions. Paolo De Pasquale authored the dataset, which was last updated on March 18, 2026.

Use Cases

• Compare the effects of rhythmic auditory stimulation on temporal gait parameters based on the described group-specific patterns.
• Analyze improvements in postural control and trunk stability based on the clinical outcomes from the CAREN-M group.
• Investigate the relationship between muscle activation and joint kinematics based on the biomechanical gait parameters collected.
• Model the additive benefits of multisensory stimulation on motor control based on the between-group comparisons of functional tests like TUG.

Strengths

• Data originates from a structured clinical trial with a quasi-randomized design involving 20 participants.
• Includes both clinical outcomes (e.g., BBS, Tinetti Scale) and biomechanical gait parameters (kinematic, kinetic, EMG).
• All participants underwent 12 standardized rehabilitation sessions of equal duration and intensity.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 16.7 KB, indicating limited scope.

Provenance

Source

figshare, authored by Paolo De Pasquale.

Collection Method

Secondary analysis of a quasi-randomized clinical trial (Trial Registration Number NCT07066137).

Time Range

Temporal coverage of the trial is not specified in the provided metadata.

Freshness

Last updated 2026-03-18 07:40:43; freshness should be verified.

Geography

Spatial coverage is not specified in the provided metadata.