Devices that enable paralysed people to communicate come closer to reality
Scientists at UCLA and the Technion, Israel's Institute of Technology, have unravelled how our brain cells encode the pronunciation of individual vowels in speech.
The discovery could lead to new technology that verbalizes the unspoken words of people paralyzed by injury or disease.
"We know that brain cells fire in a predictable way before we move our bodies," explained Dr. Itzhak Fried, a professor of neurosurgery at the David Geffen School of Medicine at UCLA.
"We hypothesized that neurons would also react differently when we pronounce specific sounds. If so, we may one day be able to decode these unique patterns of activity in the brain and translate them into speech," Dr. Fried stated.
Fried and Technion's Ariel Tankus, formerly a postdoctoral researcher in Fried's lab, followed 11 UCLA epilepsy patients who had electrodes implanted in their brains to pinpoint the origin of their seizures. The researchers recorded neuron activity as the patients uttered one of five vowels or syllables containing the vowels.
With Technion's Shy Shoham, the team studied how the neurons encoded vowel articulation at both the single-cell and collective level. The scientists found two areas-the superior temporal gyrus and a region in the medial frontal lobe-that housed neurons related to speech and attuned to vowels. The encoding in these sites, however, unfolded very differently.
Neurons in the superior temporal gyrus responded to all vowels, although at different rates of firing. In contrast, neurons that fired exclusively for only one or two vowels were located in the medial frontal region.
"Single neuron activity in the medial frontal lobe corresponded to the encoding of specific vowels. The neuron would fire only when a particular vowel was spoken, but not other vowels," said Fried.
At the collective level, neurons' encoding of vowels in the superior temporal gyrus reflected the anatomy that made speech possible-specifically, the tongue's position inside the mouth.
"Once we understand the neuronal code underlying speech, we can work backwards from brain-cell activity to decipher speech," said Fried.
"This suggests an exciting possibility for people who are physically unable to speak. In the future, we may be able to construct neuro-prosthetic devices or brain-machine interfaces that decode a person's neuronal firing patterns and enable the person to communicate," he added.
The study was published in the Aug. 21 edition of Nature Communications.