PI: Mingjun Zhang, PhD, DSc, Scott Galster, PhD
Preliminary data has shown that brain activities can be evoked by external stimuli. This study seeks to create a mathematical model utilizing cognitive, physiological, and behavioral measures of brain performance, in addition to biomarkers, in order to control a robotic helmet. This helmet will assist in relieving symptoms associated with brain neuron degenerative diseases, such as Alzheimer’s disease. The helmet will be used for non-invasive interactions of brain cellular activities. The helmet will utilize infrared lasers, tactile stimulation, and sound, with this stimulation manipulated based on EEG-feedback. If successful, this project will serve as a platform to validate ideas for managing the symptoms of Alzheimer’s Disease using noninvasive mechanical, electrical and acoustic means.