B-9. Quantitative evaluation of motor function and its clinical application

A classic hypothesis for motor control assumes that the predictive controller (PC) and the feedback controller (FBC) work in parallel. Nevertheless, dissociation of outputs from the two controllers has never been possible, preventing evaluation of motor functions in movement disorders. Here we demonstrate a new method to separate outputs from PC and FBC. Subjects performed a tracking movement to pursue a slowly moving target, while we recorded movement with a manipulandum or a Kinect v2 sensor. We identified three components of tracking movement that were separable with FFT and identified in terms of their function. The primary, a lower frequency component ( 3.0 Hz), which showed characteristic increases in patients with Parkinson’s disease or stroke. Each of the three components provides unique parameters to quantify motor function of patients with movement disorders. Our new method provides a new framework to characterize movement disorders.