posted on 2014-02-05, 00:00authored byFarnaz Abdollahi, Robert V. Kenyon, James L. Patton
Background: In spite of their importance to everyday function, tasks that require both hands to work together
such as lifting and carrying large objects have not been well studied and the full potential of how new technology
might facilitate recovery remains unknown.
Methods: To help identify the best modes for self-teleoperated bimanual training, we used an advanced
haptic/graphic environment to compare several modes of practice. In a 2-by-2 study, we compared mirror vs.
parallel reaching movements, and also compared veridical display to one that transforms the right hand’s cursor
to the opposite side, reducing the area that the visual system has to monitor. Twenty healthy, right-handed
subjects (5 in each group) practiced 200 movements. We hypothesized that parallel reaching movements would
be the best performing, and attending to one visual area would reduce the task difficulty.
Results: The two-way comparison revealed that mirror movement times took an average 1.24 s longer to complete
than parallel. Surprisingly, subjects’ movement times moving to one target (attending to one visual area) also took
an average of 1.66 s longer than subjects moving to two targets. For both hands, there was also a significant
interaction effect, revealing the lowest errors for parallel movements moving to two targets (p < 0.001). This was the
only group that began and maintained low errors throughout training.
Conclusion: Combined with other evidence, these results suggest that the most intuitive reaching performance
can be observed with parallel movements with a veridical display (moving to two separate targets). These results
point to the expected levels of challenge for these bimanual training modes, which could be used to advise
therapy choices in self-neurorehabilitation.
Funding
This work was supported by the National Institutes of Health (NIH) under
grant 1 R01 NS053606 and the National Institute for Disability and
Rehabilitation Research (NIDRR) RERC H133E0700 13.