Brain Chip Implant Enables Paralyzed ALS Patient To Speak And Work Again
by
Aaron Leong
—
Thursday, June 18, 2026, 10:17 AM EDT
Recent breakthroughs in neural engineering have bridged the gap between brain-computer interfaces and practical tools for daily life. A long-term study published in Nature reveals that a 47-year-old man paralyzed by amyotrophic lateral sclerosis (ALS) has successfully used an implanted neural device to communicate independently at home and maintain a full-time job.
The participant, Casey Harrell, was diagnosed with ALS and developed severe dysarthria, a condition that rendered his speech nearly impossible to understand. In 2023, neurosurgeons at the University of California, Davis, as part of the multi-institutional BrainGate2 clinical trial, implanted four microelectrode arrays into Harrell's left precentral gyrus, the part of the brain that's responsible for controlling speech muscles. These four arrays contain a total of 256 electrodes designed to record the electrical firing of individual neurons when Harrell attempts to speak or move.
While previous neural prosthetics could decode words with high accuracy, they typically relied on intensive manual calibrations and a team of technicians present in a laboratory setting. The system deployed by UC Davis uses an AI decoder that continuously translates neural activity into text and simultaneously handles on-screen cursor navigation. During controlled testing, the AI system was able to achieve a 99% word accuracy with a vast 125,000-word vocabulary, keeping pace even when Harrell attempted to speed up his speech.
Casey Harrell uses the brain-computer interface at his home
Over a span of nearly two years, Harrell has logged more than 3,800 hours using the interface from the comfort of his home. He generated roughly 183,000 sentences and nearly 2 million words, averaging a communication speed of 56 words per minute. With the machine converting intended vocal movements into both text inputs and mouse clicks, Harrell gained full, unassisted control over his PC. This dual capability allowed him to log on independently, navigate software, draft emails, and successfully manage the daily responsibilities of a full-time data analyst job despite his physical paralysis.
Impressively, Harrell frequently operates the system for up to 12 consecutive hours in a single day to surf the web, shop online, and text friends. The system also features a customized text-to-speech voice trained on audio recordings taken before his disease advanced, allowing his daughter to hear a voice that mirrors how her father used to sound.
All the more, the thousands of hours of high-res neural data gathered during the study represent the largest dataset of single-neuron speech recordings ever collected, offering researchers insight into how the human brain orchestrates language, which could in turn pave the way for commercial neural prosthetics.
Image credit: Regents of the University of California, Davis