Preliminary Analysis of Modulation of Event-Related Desynchronization in Robot-Assisted Hand Performance: Effect of Augmented Visual Feedback and Force Adaptation
Advisor Information
Mukul Mukherjee
Location
Dr. C.C. and Mabel L. Criss Library
Presentation Type
Poster
Start Date
6-3-2015 9:00 AM
End Date
6-3-2015 10:30 AM
Abstract
Robot-assisted therapy is an emerging technique that is applied to patients with stroke via the generation of forces to facilitate motor skill learning. In addition, augmented visual feedback has been utilized for learning reaching movements in dynamic environments. Though evidence supports the benefit of forces and augmented visual feedback, underlying neural correlates are not fully known. The purpose of this study was to examine how brain activities are affected when healthy young adults learn reaching movements in dynamic environments with augmented visual feedback. Fourteen healthy adults were randomly assigned to either a control or an experimental group. They all performed reaching movements with their right dominant hand using the Inmotion2 robotic system. Control group subjects received actual feedback of the movement, while experimental group subjects received augmented visual feedback during the adaptation phase of the experiment. The θ, α-mu, and β event - related desynchronization (ERD%) at C3 were analyzed during movement across the three phases: baseline (no force), adaptation (velocity-dependent force), and washout (no force). The results revealed that θ, α-mu, and β ERD% were increased from baseline to adaptation and then decreased when force field was removed (washout) in both groups. With augmented visual feedback, α-mu, and β ERD% were smaller, but θ ERD% was larger than controls across all phases. These results indicate that utilization of augmented visual feedback may help to reduce cognitive processing, as α-mu and β ERD% were smaller.
Preliminary Analysis of Modulation of Event-Related Desynchronization in Robot-Assisted Hand Performance: Effect of Augmented Visual Feedback and Force Adaptation
Dr. C.C. and Mabel L. Criss Library
Robot-assisted therapy is an emerging technique that is applied to patients with stroke via the generation of forces to facilitate motor skill learning. In addition, augmented visual feedback has been utilized for learning reaching movements in dynamic environments. Though evidence supports the benefit of forces and augmented visual feedback, underlying neural correlates are not fully known. The purpose of this study was to examine how brain activities are affected when healthy young adults learn reaching movements in dynamic environments with augmented visual feedback. Fourteen healthy adults were randomly assigned to either a control or an experimental group. They all performed reaching movements with their right dominant hand using the Inmotion2 robotic system. Control group subjects received actual feedback of the movement, while experimental group subjects received augmented visual feedback during the adaptation phase of the experiment. The θ, α-mu, and β event - related desynchronization (ERD%) at C3 were analyzed during movement across the three phases: baseline (no force), adaptation (velocity-dependent force), and washout (no force). The results revealed that θ, α-mu, and β ERD% were increased from baseline to adaptation and then decreased when force field was removed (washout) in both groups. With augmented visual feedback, α-mu, and β ERD% were smaller, but θ ERD% was larger than controls across all phases. These results indicate that utilization of augmented visual feedback may help to reduce cognitive processing, as α-mu and β ERD% were smaller.