Treating post-stroke individuals with physical devices (mechanoceuticals) has produced mild but significant recovery. While clinicians widely recognize that therapy should focus on movement error, there is currently no ?model? of relearning that can inform the design of treatments. We will develop an individualized mathematical model of each person?s unique response to error that can serve both as a descriptor and a hypothesis for testing the practice environment to correct the individual?s deficits.
Our aims will model and test therapy that focuses on (1) central tendencies of error, (2) sensory contributions to error, and (3) variations of error. Our anticipated findings will not only shed light on how to improve therapy, it will test hypotheses about the fundamental processes of practice and learning. This work will move us closer to our long-term goal of knowing the most effective treatments, using either therapists or devices.
There are a variety of motor deficits following stroke which present growing challenges to healthcare. Therapeutic practice with physical devices remains an exciting frontier for the recovery of function, but a critical question is precisely how such devices should be programmed. Here we investigate differences in outcomes using models that describe how a person responds to error during practice, and we evaluate how well these models can prescribe the best therapeutic training.
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| Huang, Felix C (2017) Simulation of variable impedance as an intervention for upper extremity motor exploration. IEEE Int Conf Rehabil Robot 2017:573-578 |
| Bittmann, Moria F; Patton, James L; Huang, Felix C (2017) Customized therapy using distributions of reaching errors. IEEE Int Conf Rehabil Robot 2017:658-663 |
| Bittmann, Moria Fisher; Patton, James Lanphier (2017) Forces That Supplement Visuomotor Learning: A ""Sensory Crossover"" Experiment. IEEE Trans Neural Syst Rehabil Eng 25:1109-1116 |
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| Huang, Felix C; Patton, James L (2016) Movement distributions of stroke survivors exhibit distinct patterns that evolve with training. J Neuroeng Rehabil 13:23 |
| Horowitz, Justin; Patton, James (2015) I Meant to Do That: Determining the Intentions of Action in the Face of Disturbances. PLoS One 10:e0137289 |
| Wright, Zachary A; Carlsen, Anthony N; MacKinnon, Colum D et al. (2015) Degraded expression of learned feedforward control in movements released by startle. Exp Brain Res 233:2291-300 |
| Parmar, Pritesh N; Huang, Felix C; Patton, James L (2015) Evidence of multiple coordinate representations during generalization of motor learning. Exp Brain Res 233:1-13 |
| Fisher, Moria E; Huang, Felix C; Wright, Zachary A et al. (2014) Distributions in the error space: goal-directed movements described in time and state-space representations. Conf Proc IEEE Eng Med Biol Soc 2014:6953-6 |
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