The study, reported in the Journal of Neural Engineering, demonstrated the ability to decode a person's preference for one of two drinks with 80 percent accuracy by measuring the intensity of near-infrared light absorbed in brain tissue, the scientists said in a statement today. "This is the first system that decodes preference naturally from spontaneous thoughts," says Sheena Luu, a University of Toronto doctoral student in biomedical engineering who led the work under the supervision of Tom Chau, a specialist in pediatric rehab engineering at the university's Bloorview Kids Rehab center. [requires a bit of set up, like voice dialing in the 90's)