In a clinical trial and study supported by Brown scientists and alumni, a participant regained nearly fluent speech using a brain-computer interface that translates brain signals into speech with up to 97% accuracy.
PROVIDENCE, R.I. [Brown University] - Scientists with the BrainGate research consortium have developed a brain-computer interface that translates brain signals into speech with up to 97% accuracy, offering a significant breakthrough for individuals with speech impairments due to conditions like amyotrophic lateral sclerosis.
The technology involves using implanted sensors in the brain to interpret brain signals when a user attempts to speak. These signals are then converted into text, which is read aloud by a computer.
The work is described in a new study in the New England Journal of Medicine published on Wednesday, Aug. 14, that was led by neurosurgeon David Brandman and neuroscientist Sergey Stavisky, both of whom are Brown University alumni and faculty members at UC Davis Health.
"Our BCI technology helped a man with paralysis to communicate with friends, families and caregivers," Brandman said. "Our paper demonstrates the most accurate speech neuroprosthesis ever reported."
ALS, also known as Lou Gehrig's disease, affects nerve cells controlling muscle movement, leading to the gradual loss of mobility and speech. BCI technology aims to restore communication for those who have lost the ability to speak due to paralysis or neurological disorders.
The system allowed Casey Harrell, a 45-year-old person with ALS, to communicate his intended speech effectively within minutes of activation. The powerful moment brought tears to Harrell and his family. Harrell, reflecting on his experience with the technology, described the impact that regaining the ability to communicate could have on others facing similar challenges.
"Not being able to communicate is so frustrating and demoralizing. It is like you are trapped," Harrell said. "Something like this technology will help people back into life and society."
