תפריט ראשי עליון

תפריט עמוד

תוכן עניינים

Investigate balance, gait, motor function, cognition, genetics, and motor-cognitive interactions leveraging the combination of expertise in signal processing, machine learning, biomedical engineering and clinical investigators.



We study motor and cognitive function interactions to better understand their interdependence and changes with aging and disease. Tools used include dual tasking, fMRI, MRI, fNIRS and EEG.  These interactions are examined in the context of aging and maturation and diseases like Parkinson’s disease, post-stroke, ADHD, multiple sclerosis, Huntington’s disease, and Alzheimer’s disease.

 

In a 5 year prospective study among ~280 older adults, we observed that executive function (EF) measured at baseline was predictive of falls during the follow-up period. Dual tasking gait variability was also predictive of future falls. These findings highlight the importance of cognition to fall risk.




Freezing of gait (FOG) is one of the most disabling and poorly understood gait disturbances that affect patients with Parkinson's disease. Imaging of the frontal lobe using fNIRS  (left) and fMRI reveals alterations in brain function just prior to FOG.



Single cell recordings of the brain’s activity investigate the regulation of lower and upper extremity movement as subjects undergo deep brain stimulation. Underlying principles of the control are revealed.

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