New AI Technology Will Be Used To Determine Brain Age

John Kounios and his fellow researchers from Drexel’s College of Arts and Sciences and Stockton universities have developed a new AI technology in the Creativity Research Lab to assess the age of the brain and monitor general brain health. The technology will help to detect if there is premature brain aging or a “brain-age gap”. Treatment of age-related disorders like Parkinson’s disease, moderate cognitive impairment, and dementia will see a new way because of this invention.

Machine-learning algorithm and EEG headset will be used for quick screening. Monitoring and recording of the brain will be done in a conscious resting state which will be approximately 12 minutes.

As the process is user-friendly and the cost is very low, it can be used in the clinic, workplace, and even at home to track one’s general neurological health and brain functioning over time to examine how the factors can potentially affect brain aging and health.

Revolutionizing Brain Health

Factors like genetic, environmental, pathological, and lifestyle factors can influence brain age and may diminish its function and capabilities. Diagnosing these factors after the symptoms occur often delays the treatment procedure and makes the treatment less effective. The new research may put an end to this problem.

Prof. Kounios stated on the project that it can be used as a reasonably cheap way to screen a large number of people for age-related vulnerability. And because of its low cost, a person can be screened at regular intervals to check for changes over time, this can help to test the effectiveness of medications and other interventions. Additionally, healthy individuals could utilize this method to assess the impact of lifestyle modifications as a component of a larger plan to maximize brain function.