The study involved a single participant, known by the alias Pancho. A native Spanish speaker, Pancho learned English after suffering a stroke at the age of 20. The research team developed an AI system with modules for languages like Spanish and English. When it came to phrases uttered by Pancho, the system could distinguish between English and Spanish based on the first word with an accuracy rate of 88%. Moreover, the accuracy in decoding the correct sentences stood at 75%.

Furthermore, through the analysis of signals directly recorded from the cerebral cortex, the researchers discovered that much of the brain activity related to Spanish and English actually originated from the same area. This study not only offers insights into how the brain processes languages but also brings hope for restoring multilingual capabilities to those who are unable to communicate verbally.