Healthy Volunteers
Conditions
Brief summary
Inducing a systematic perturbation forces on the hand during arm reaching movement may improve adaptation. Error-augmentation (EA) training is relatively new concept in motor learning intended to promote the adaptation process. In this study participants will practice one session of training on 3D robotic device. Healthy volunteers will be randomly divided into two groups: study and control. The study group will carry out the training session with EA forces. The control group will carry out the same procedure with null force field. Outcome measure are the average size of trajectory error from the straight line and level of exertion (borg scale).
Detailed description
A single process involved in motor learning is adaptation. Hand reaching movement has been extensively used to evaluate the concept of motor adaptation. By inducing a systematic perturbation on the hand, it is possible to examine the implicit motor response on the trajectory of the hand. Error-augmentation (EA) training is relatively new concept in motor learning intended to promote the adaptation process. Applying these perturbating forces on the hand shift the hand trajectory form the straight line to a curve like shape. Making repetitive movement under the same conditions will results in a gradual correction of this faulty movement trajectory toward the straight line, e.g. motor adaptation. Participants: Healthy volunteers, aged 20-50, males and females. The participants will be randomly assigned into two groups: study or control group. Procedure: One practice session of 25 minutes on 3D robotic device. The study group will carry out the session with EA forces. The control group will carry out the same training without the EA forces. Outcome Measures: Size of trajectory error from the straight line, level of exertion.
Interventions
OTHERError enhancement
Participants will sit in front of a 3D robotic device and grab the robotic arm handle. The participants will carry out arm reaching tasks appear on a screen on front of them. Each game of tasks will lasts 2 minutes. The participants will carry out one game to be accustomed to device, followed by one game with null force field, followed by 5 games as the main intervention with error enhancement force field, and another last game with null force field.
OTHERControl group
Participants will sit in front of a 3D robotic device and grab the robotic arm handle. The participants will carry out arm reaching tasks appear on a screen on front of them. Each game of tasks will lasts 2 minutes. The participants will carry out one game to be accustomed to device and another 7 games with null force field.
Sponsors
University of Haifa
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Subject)
Eligibility
Sex/Gender
ALL
Age
20 Years to 55 Years
Healthy volunteers
Yes
Inclusion criteria
* Healthy
Exclusion criteria
* Neurologic disease, orthopedic syndrome of the dominant upper extremity.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change in average movement error from baseline | At baseline, before the beginning of the training session, and at followup measurement immediately at the the end of the training session, which is about 45 minutes after the first evaluation. | Average size of trajectory error form the straight line while making arm reaching movement |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Change in Borg scale score from baseline | At baseline, before the beginning of the training session, and at followup measurement immediately at the end of the training session, which is about 45 minutes after the first evaluation. | A 6-20 scale that intended describe the subjective level of exertion of the participant. |
Countries
Israel
Contacts
Primary ContactSharon Israley, MSc.
Backup ContactEli Carmeli, PhD.
Outcome results
None listed