A team from the University of Surrey, University of Oxford, and Cognitive Neurotechnology has created a personalized brain stimulation system that enhances concentration using artificial intelligence and non-invasive electrical pulses. The system uses transcranial random noise stimulation (tRNS), a gentle form of brain stimulation, paired with an AI algorithm that adjusts intensity based on individual traits like head size and baseline attention levels.
The technology was tested in a double-blind study involving 37 participants and trained on data from 103 individuals who completed 290 home-based sessions using CE-certified headgear and tablet-based attention tasks. Those receiving AI-personalized stimulation showed significantly better performance than those receiving standard or placebo stimulation. The most notable improvements were seen in participants with initially low attention levels.
Unlike previous methods that required MRI scans for personalization, this system uses behavioral data to optimize stimulation settings, making it scalable and cost-effective. It also avoids overstimulation, which can impair performance—a limitation of one-size-fits-all approaches.
The system is designed for independent use at home, opening doors for cognitive enhancement in education, training, and clinical therapy. It represents a shift toward adaptive neurotechnology that’s accessible and tailored to individual needs.
Article from the University of Surrey: AI-Powered brain stimulation at home could enhance concentration, new research finds
Abstract in npj Digital Medicine: Personalized home based neurostimulation via AI optimization augments sustained attention
