Validation of Muse EEG Headband for Assessment of MCI and Dementia

Mild cognitive impairment (MCI) presents a risk state for dementia and Alzheimer’s disease. Early detection of MCI is essential, allowing for improved outcomes through early lifestyle interventions. However, current methods used to detect and diagnose MCI require skilled administrators and significant time investment. As prevalence rates of MCI grow with an aging population there remains a clear need for an accessible, efficient, and objective method of detection. Electroencephalography (EEG, or “brain waves”) is sensitive to the presence of MCI, but the cost, time, and technical requirements of traditional EEG systems limit their feasibility as a diagnostic tool. Mobile EEG systems, which are quick to set up and do not require skilled technicians to operate, provide a potential solution to this problem. Previously, our lab has shown that it is possible to collect research-quality data with the low-cost Muse mobile EEG system; and more importantly that mobile EEG systems are sensitive to the same potential electrophysiological biomarkers of MCI as full-size EEG systems. We are seeking funding to validate the use of the Muse mobile EEG system as an early screening tool for MCI, making screening accessible and objective, leading to better management and outcomes for patients.

Faculty Supervisor:

Olav Krigolson

Student:

Partner:

InteraXon Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services; Retail trade; Wholesale trade

University:

University of Victoria

Program: