Motor Recovery: How Rehabilitation Techniques and Technologies Can Enhance Recovery and Neuroplasticity

There are now a large number of technological and methodological approaches to the rehabilitation of motor function after stroke. It is important to employ these approaches in a manner that is tailored to specific patient impairments and desired functional outcomes, while avoiding the hype of overly broad or unsubstantiated claims for efficacy. Here we review the evidence for poststroke plasticity, including therapy-related plasticity and functional imaging data. Early demonstrations of remapping in somatomotor and somatosensory representations have been succeeded by findings of white matter plasticity and a focus on activity-dependent changes in neuronal properties and connections. The methods employed in neurorehabilitation have their roots in early understanding of neuronal circuitry and plasticity, and therapies involving large numbers of repetitions, such as robotic therapy and constraint-induced movement therapy (CIMT), change measurable nervous systems properties. Other methods that involve stimulation of brain and peripheral excitable structures have the potential to harness neuroplastic mechanisms, but remain experimental. Gaps in our understanding of the neural substrates targeted by neurorehabilitation technology and techniques remain, preventing their prescriptive application in individual patients as well as their general refinement. However, with ongoing research-facilitated in part by technologies that can capture quantitative information about motor performance-this gap is narrowing. These research approaches can improve efforts to attain the shared goal of better functional recovery after stroke.

Automated summary

There are various technological and methodological approaches available for motor function rehabilitation after stroke, and it is important to tailor these approaches to specific patient impairments while avoiding unsubstantiated claims. Evidence suggests that neurorehabilitation methods can change measurable nervous system properties, but there are still gaps in understanding the neural substrates targeted, hindering their prescriptive application and general refinement. Ongoing research using technologies to capture quantitative information about motor performance is narrowing these gaps and improving efforts towards better functional recovery after stroke.