Home-based brain stimulation system uses AI to enhance concentration

A personalized brain stimulation system powered by artificial intelligence (AI) that can safely enhance concentration from home has been developed by researchers from the University of Surrey, the University of Oxford and Cognitive Neurotechnology. Designed to adapt to individual characteristics, the system could help people improve focus during study, work, or other mentally demanding tasks. 

Published in npj Digital Medicine, the study is based on a patented approach that uses non-invasive brain stimulation alongside adaptive AI to maximize its impact. The technology uses transcranial random noise stimulation (tRNS) – a gentle and painless form of electrical brain stimulation – and an AI algorithm that learns to personalise stimulation based on individual features, including attention level and head size. By tailoring stimulation intensity to these characteristics, the system identified optimal settings without the need for expensive MRI scans, making the personalization scalable and cost-effective. 

The AI was trained using data from 103 people aged 18 to 35, who completed 290 home-based sessions using CE-marked (European Union standard) headgear and a tablet-based sustained attention task. The system was then evaluated in a double-blind study involving 37 new participants. Those who received personalized AI-guided stimulation showed significantly better performance than during standard or placebo stimulation. The strongest improvements were seen in individuals who initially showed lower levels of attention. 

Our modern world constantly competes for our attention. What is exciting about this work is that we have shown it is possible to safely and effectively enhance cognitive performance using a personalised system that people can use independently at home. This opens new possibilities for improving sustained attention, learning, and other cognitive abilities in a way that is accessible, adaptive, and scalable. 

Our work highlights the growing role of AI and wearable neurotechnology in enabling personalized, real-world cognitive enhancement, with potential applications across education, training, and future clinical use." 

Professor Roi Cohen Kadosh, Head of Psychology at the University of Surrey, Founder of Cognite Neurotechnology Ltd and lead author of the study

The study found no serious side effects and the frequency and severity of sensations during stimulation were no different from those experienced during placebo. The AI also helped avoid stimulation levels that could impair performance – something previous non-personalized methods could not achieve.