About

The Gait and Balance Disorders Laboratory is focused on understanding ways to predict and prevent falls in neurological populations including people with Parkinson’s disease and multiple sclerosis. We apply biomechanical (i.e. motion capture), neuropsychological (cognitive assessments), and imaging techniques (fMRI) to achieve these goals.

Current projects include: 1) characterizing biomechanics prior to and during slips (i.e. loss of balance) with and without divided attention; 2) measuring people’s ability to improve responses to slips, and 3) identification of responders and non-responders to physical therapy, and 4) understanding cognitive factors related to falls. 

A project of particular interest is a re-analysis of existing postural data. We have observed that people with PD can improve reactive postural movements (i.e. steps in response to a slip). However, the underlying mechanism of this improvement is unknown. This project analyze postural (center of pressure) and biomechanics (stooped posture) data to understand if changes in these outcomes relate to the improvements in reactive stepping in response to a slip. Understanding what variables contribute to improved reactive postural control will provide targets for neurorehabilitation interventions in the clinic.

Prerequisite skills (preferred): Computer programming experience will be helpful but not required.
Skills to be gained / strengthened: Skills in processing balance data in MATLAB; understanding of postural control and fall prevention