AI Technology Utilizes Affordable EEG Device to Estimate Brain Age

Drexel University researchers have developed a groundbreaking method for estimating brain age using EEG scans, which could revolutionize the way brain health is assessed. By analyzing brain waves, this technology can provide valuable insights into an individual’s brain health and potential vulnerability to age-related neurological disorders.

According to lead researcher John Kounios, this new approach offers a more accessible and cost-effective alternative to traditional MRI scans. EEG scans are non-invasive and can be easily conducted using a simple headset, making them ideal for large-scale screenings and regular monitoring of brain health over time.

The ability to estimate brain age using EEG scans opens up new possibilities for early detection of age-related cognitive decline and the effectiveness of interventions. By incorporating this technology into a digital health platform, Canadian company DiagnaMed Holdings aims to make brain-age estimation more widely available and affordable for individuals seeking to optimize their brain performance.

This research, published in Frontiers in Neuroergonomics, represents a collaboration between Drexel University and Stockton University, with contributions from Fengqing Zhang, Yongtaek Oh, and Jessica Fleck. The potential impact of this technology on healthcare and personalized medicine is significant, offering a proactive approach to brain health that could benefit individuals of all ages.