{"id":232,"date":"2025-07-29T06:57:19","date_gmt":"2025-07-29T13:57:19","guid":{"rendered":"https:\/\/scienceblog.com\/neuroedge\/?p=232"},"modified":"2025-07-29T06:57:19","modified_gmt":"2025-07-29T13:57:19","slug":"at-home-ai-brain-stimulation-helps-attention","status":"publish","type":"post","link":"https:\/\/scienceblog.com\/neuroedge\/2025\/07\/29\/at-home-ai-brain-stimulation-helps-attention\/","title":{"rendered":"At-home, AI Brain Stimulation Helps Attention"},"content":{"rendered":"

Researchers have developed a wearable brain stimulation system that can be used at home and tailored by artificial intelligence to improve focus, especially in people with low baseline attention.<\/p>\n

The non-invasive device delivers personalized electrical pulses to the brain using transcranial random noise stimulation (tRNS), and adjusts intensity based on head size and attention levels. In a double-blind study, participants receiving the AI-guided stimulation significantly outperformed those given placebo or one-size-fits-all settings. The results suggest AI-powered neurostimulation could become a scalable, low-cost tool for enhancing sustained attention in daily life.<\/p>\n

AI Meets Neurotech in a Headband<\/h2>\n

The system, developed by scientists at the University of Surrey, University of Oxford, and Cognitive Neurotechnology Ltd, is designed for home use. It combines tRNS\u2014a gentle, non-painful form of electrical brain stimulation\u2014with an adaptive algorithm that learns each user’s optimal stimulation level. This eliminates the need for costly MRI scans often required for personalization.<\/p>\n

“We have shown it is possible to safely and effectively enhance cognitive performance using a personalised system that people can use independently at home,” said Professor Roi Cohen Kadosh, lead author and head of psychology at the University of Surrey. He added that the technology opens up new options for cognitive enhancement that are “accessible, adaptive, and scalable.”<\/p>\n

How the Brain Boosting Works<\/h2>\n

In the study, 103 participants aged 18 to 35 used the system during 290 home-based sessions. The AI learned from this data, training on a measure of performance called A\u2032 (a signal-detection metric) and head circumference to fine-tune the stimulation dose.<\/p>\n

Later, in a tightly controlled follow-up trial with 37 new participants, those receiving AI-guided stimulation showed stronger improvements in sustained attention than those using standard or placebo settings. The most dramatic gains were seen in people who initially had low attention scores.<\/p>\n