Parkinson’s disease (PD) progressively deteriorates motor function. Successful rehabilitation, leading to a favorable course of movement disorders in PD, is contingent upon frequent, regular, and patient-specific exercise regimen that is customized to the individual needs. Latter requires regular interventions from the provider and frequent visits to the rehab facility. Lack of access, poor social support, inability to travel, home-bound status, or pandemics are significant hurdles in delivering effective rehab to the PD patients. Our vision is to offer customized and cost-effective PD rehab using a remotely operated technology near or at the patients’ homes. This technology would be remotely monitored and customized online to titrate therapeutic outcomes optimized for each patient. The proof of this concept was already established in our laboratory, a technology called dynamic cycling. The highlight of this technology is a stationary bike operating at a rapid speed (cadence) with programmable variability in speed and power/torque hence promoting motor performance superior to traditional motorized bikes (i.e. static cycling). The next step towards our ultimate vision of at-home exercise therapy is remotely operated dynamic bike. We have already built remotely operated dynamic bike; the current proposal will objectively examine the efficacy of a novel, remotely delivered and remotely adjusted dynamic cycling paradigm using remotely monitored motor outcomes. Comparison will be made with remote static cycling. The study will be launched at three community based wellness locations to assure the subject safety, ease of access, compliance, and as needed support. Aim 1 will examine the hypothesis that dynamic cycling will immediately improve the motor function in PD. The effects will be prominent on the dopamine-sensitive motor deficits. The repetition will enhance motor improvement. The participants will use wearable sensors for the remote assessments of motor symptoms in PD before and immediately after each exercise session. The information from the wearable sensors and the bike will be utilized to further adjust the bike parameters for the next dynamic cycling session. We will also measure effects on subjective ratings of motor function, cognition and balance before, and at 0, 3, and 6 months after the cycling intervention. Aim 2 will analyze the effects of dynamic cycling on motor fluctuations, declining response to levodopa in an early and unpredictable manner significantly affecting the quality of life in the PD. We hypothesize that dynamic cycling will reduce the motor fluctuations in PD. The efficacy of dynamic cycling on improvement in motor fluctuation over a 12-hour awake period will be measured every day with the wearable sensors that communicate via secure cloud. The immediate clinical impact is that the technology will be immediately deployed to the Veteran’s group homes, nursing homes, and community based VA clinics. The project will prov...