Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT04577573 |
Other study ID # |
B3582-P |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
May 17, 2021 |
Est. completion date |
November 30, 2023 |
Study information
Verified date |
December 2023 |
Source |
VA Office of Research and Development |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
Rehabilitation of functional movements after spinal cord injury (SCI) requires commitment and
engagement to the processes of physical therapy. Outcomes may be improved by techniques that
strengthen cognitive connections between users and physical therapy exercises.
The investigators will investigate combinations of virtual reality and innovative wearable
technology to accelerate rehabilitation of hand grasp and reach. These devices use
multi-sensory feedback to enhance the sense of agency, or feelings of control, and better
train movements during physical rehabilitation exercises. The investigators will measure the
effect of these devices on improving the speed, efficiency, and accuracy of performed
movements in Veterans with SCI.
Description:
Spinal cord injury (SCI) at the cervical level impairs hand function severely compromises
performance of activities of daily living. The physical rehabilitation process requires
commitment by the participant to achieve meaningful gains in function. Rehabilitation
approaches that are cognitively engaging can facilitate greater commitment to practice and
improved movement learning.
The investigators propose to develop innovative platforms that utilize virtual reality (VR)
and instrumented wearables that enhance cognitive factors during motor learning of hand grasp
and reach after SCI. These factors include greater sense of agency, or perception of control,
and multi-sensory feedback. Sense of agency is implicated with greater movement control, and
various sensory feedback modalities (visual, audio, and haptic) are proven effective in
movement training. However, these factors are not well considered in traditional physical
therapy approaches.
The investigators have developed two novel cognitive-based platforms for rehabilitating grasp
and reach function and propose to test each platform in Veterans with chronic SCI at the
cervical level.
Aim 1 will investigate how the "cognition" glove may improve functional grasp. This glove
includes force and flex sensors that provide inputs to a machine learning algorithm trained
to predict when secure grasp is achieved. The glove alerts the user of secure grasp through
onboard sensory modules providing visual (LED), audio (beeper), and tactile (vibrator)
feedback. During training, feedback is provided at gradually shorter time-intervals to
progressively induce agency based on the neuroscience principle of 'intentional binding'.
This principle suggests that with greater agency, one perceives their action (i.e., secure
grasp) is more coupled in time to a sensory consequence (i.e., glove feedback). The glove is
user-ready, and now has compatibility with customized VR applications to provide enhanced
sensory feedback through engaging and customized visual and sound alerts. The investigators
hypothesize that enhanced feedback in VR will produce even greater improvements in grasp
performance than onboard feedback alone.
Aim 2 will investigate how Veterans with SCI may learn greater arm muscle control during
virtual reaching while using a "sensory" brace that provides isometric resistance to one arm
to elicit electromyography (EMG) patterns that can drive a virtual arm. The person receives
visual feedback from VR and muscle tendon haptic feedback from the brace during training.
Tendon stimulation can elicit movement sensations that modulate muscle activation patterns.
The VR feedback will provide conscious movement training cues while vibration feedback will
subconsciously elicit more distinct EMG patterns based on cluster analysis. The investigators
hypothesize that the promotion of distinct EMG patterns, achieved by maximizing inter-cluster
distances, will improve performance of a reach-to-touch task.
Importantly, the concept of strengthening cognitive agency and learning of movement using
wearable technology, multi-sensory feedback, and virtual reality during physical training
will be applicable to all forms of neuromuscular impairment, including stroke and traumatic
brain injury in addition to SCI.