Longitudinal Analysis of Gait Variability to Predict Falls in Parkinson's Disease

The broad goal of this research project is to improve the prediction of falls in patients with Parkinson's disease (PD) through a comprehensive multidisciplinary approach that includes longitudinal measurements of walking, cognitive and functional performances. PD is a life-changing disorders affecting one million Americans, with more than 60,000 new cases reported every year. Within 3 years of diagnosis, more than 85% of people with clinically probable PD develop gait problems, which in turn lead to falls resulting in serious injury and reduced quality of life. There is a pressing need to identify fall risk factors before the occurrence of the first fall, and to better understand behavioral and cognitive changes leading to falls in PD patients.