Neuroplasticity and the Therapeutic Effects of Brain-Computer Interfaces in Neuroprosthetic Rehabilitation
Date of Award
Spring 5-9-2026
Document Type
Thesis
Degree Name
Master of Science in Orthotics and Prosthetics
Department
Kinesiology
Abstract
Brain-computer interfaces (BCIs) have emerged as a promising advance in neuroprosthetic technology, offering new opportunities to restore motor function in individuals with neurological impairments. This study examines the interactions among BCI-based motor control, motor imagery-based learning, and individual neuroplasticity as foundational mechanisms supporting neuroprosthetic adaptation. Current literature demonstrates that BCI interventions result in both immediate and long-term improvements in upper extremity motor function, especially among individuals recovering from stroke. This suggests that neuroprosthetic control follows principles of motor learning rather than those of device operation.
This study employs a repeated-measures experimental design to assess neuroprosthetic changes over time via electroencephalography (EEG). Participants will complete structured BCI training sessions involving motor imagery and neuroprosthetic control tasks across multiple time points, including baseline, mid-training, post-training, and retention phases.
Findings from this study are to contribute to the growing area of research supporting neuroplasticity as a critical mechanism in neuroprosthetic integration. Emphasizing the relationships among user training, neural adaptation, and device performance, this research highlights the importance of incorporating motor learning principles into the design and clinical implementation of neuroprosthetic systems. This work seeks to increase the knowledge for future developments in orthotics and prosthetics by advancing strategies that promote long-term functional independence and user-device integration.