Stroke Patient Brain-Computer Interface Training Data

Aggregating behavioral and neurophysiological measures from a single-case proof-of-principle study investigating feedback update intervals in restorative brain-computer interfaces for stroke rehabilitation. The primary behavioral measure, the Action Research Arm Test, showed a 36% clinically significant increase over the training course. Neurophysiological measures include motor evoked potentials and maximum voluntary contraction.

Use Cases

• Analyze the correlation between feedback update interval and the 36% increase in Action Research Arm Test scores.
• Model changes in motor evoked potentials across early and late phases of BCI training.
• Investigate patterns in maximum voluntary contraction data as a neurophysiological outcome measure.
• Study the relationship between motor imagery events and the provided sensory feedback timing.

Strengths

• Includes a clinically significant 36% increase in the primary behavioral outcome measure.
• Contains multiple neurophysiological measures, including motor evoked potentials and maximum voluntary contraction.
• Data originates from a focused study on an unexplored parameter (feedback update interval) in restorative BCIs.

Limitations

• Data is from a single-case study design, limiting statistical power and generalizability.
• Specific sample size, row count, and column structure are unknown.
• The temporal coverage and number of training sessions are not specified.

Provenance

Source

Dryad, authored by Sam Darvishi.

Collection Method

Collected during a single-case proof-of-principle study on stroke patients using a restorative BCI system.

Freshness

Last updated in June 2020.