Closed-loop BCIs for Dystonia Treatment

Despite the chronic, debilitating impact of dystonia, its clinical management remains challenging. Funded by the National Institute on Deafness and Other Communication Disorders, National Institutes of Health (NIDCD/NIH R01DC019353), we are conducting a Phase 1 randomized, double-blind, sham-controlled, parallel design clinical trial to assess the feasibility and efficacy of a closed-loop neurofeedback brain-computer interface (BCI) paradigm in patients with laryngeal dystonia.

Adaptive Joint Cognitive System for Decision Making

Funded by the Department of Defense and in collaboration with the multicenter US and UK academic teams, we are working on the development of a novel architecture for complex group decision making that integrates, in an unprecedented way, the strengths of human and artificial intelligence team members while compensating for their respective weaknesses. Our team approach builds on many years of highly interdisciplinary research on group decision making assisted by brain-computer interfaces (BCIs) in human and human-machine teams, as well as state of the art machine-learning technology, neuroscience, human-factors and psychophysiological knowledge on decision making in humans and human teams.