This study integrated prior findings on memory states and closed-loop stimulation into a clinical investigation specifically involving participants with a history of moderate-to-severe traumatic brain injury (TBI). Using a research prototype, the team trained personalized machine-learning classifiers to predict momentary memory lapses in these TBI patients based on their neural activity. They then applied AI-guided, closed-loop electrical stimulation to the temporal lobe when memory was predicted to fail. This targeted intervention resulted in a significant boost in verbal memory recall with stimulation versus without stimulation, providing crucial proof-of-concept for this approach in TBI-related memory impairment.
