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Speech is the most natural and efficient way to communicate and is a fundamental aspect of daily life. In the individuals that are unable to articulate speech, for example those that have survived a brainstem stroke but have developed severe anarthria, assistive BCI technologies can help them to communicate by attempting to speak, type, or handwrite intended messages 🧠 Sean L. Metzger and his colleagues at UCSF designed a sentence-spelling system to enable real-time BCI spelling using silent speech attempts. They recorded electrocorticography (ECoG) signals from a 128-channel high-density array implanted over the sensorimotor cortex of a brainstem stroke survivor with severe anarthria and quadriparesis while he silently attempted to spell out words and sentences using the NATO phonetic alphabet. 💯 This project was submitted for the BCI Award 2022 and won the 3rd place. 🏆 Sean L. Metzger1,2,3, Jessie R. Liu1,2,3, David A. Moses1,2, Maximilian E. Dougherty1, Margaret P. Seaton1, Kaylo T. Littlejohn1,2,4, Josh Chartier1,2, Gopala K. Anumanchipalli1,2,4, Adelyn Tu-Chan5, Karunesh Ganguly2,5, Edward F. Chang1,2,3 1 Dept. of Neurological Surgery University of California, San Francisco (UCSF) 2 Weill Institute for Neurosciences UCSF 3 University of California, Berkeley-UCSF Grad. Program in Bioengineering 4 Dept. of Electrical Engr. and C.S., University of California, Berkeley 5 Dept. of Neurology, UCSF