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David A. Moses, Sean L. Metzger, Jessie R. Liu, Gopala K. Anumanchipalli, Joseph G. Makin, Pengfei Sun, Josh Chartier, Maximilian E. Dougherty, Patricia M. Liu, Gary Abrams and 3 more
BACKGROUND: Technology to restore the ability to communicate in paralyzed persons who cannot speak has the potential to improve autonomy and quality of life. An approach that decodes words and sentences directly from the cerebral cortical activity of such patients may represent an advancement over existing methods for assisted communication. METHODS: We implanted a subdural, high-density, multielectrode array over the area of the sensorimotor cortex that controls speech in a person with anarthria (the loss of the ability to articulate speech) and spastic quadriparesis caused by a brain-stem stroke. Over the course of 48 sessions, we recorded 22 hours of cortical activity while the participant attempted to say individual words from a vocabulary set of 50 words. We used deep-learning algorithms to create computational models for the detection and classification of words from patterns in the recorded cortical activity. We applied these computational models, as well as a natural-language model that yielded next-word probabilities given the preceding words in a sequence, to decode full sentences as the participant attempted to say them. RESULTS: We decoded sentences from the participant's cortical activity in real time at a median rate of 15.2 words per minute, with a median word error rate of 25.6%. In post hoc analyses, we detected 98% of the attempts by the participant to produce individual words, and we classified words with 47.1% accuracy using cortical signals that were stable throughout the 81-week study period. CONCLUSIONS: In a person with anarthria and spastic quadriparesis caused by a brain-stem stroke, words and sentences were decoded directly from cortical activity during attempted speech with the use of deep-learning models and a natural-language model. (Funded by Facebook and others; ClinicalTrials.gov number, NCT03698149.).
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Moses, D. A., Metzger, S. L., Liu, J. R., Anumanchipalli, G. K., Makin, J. G., Sun, P., Chartier, J., Dougherty, M. E., Liu, P. M., Abrams, G., Tu-Chan, A., Ganguly, K., & Chang, E. F. (2021). Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria. New England Journal of Medicine, 385(3), 217–227. https://doi.org/10.1056/nejmoa2027540
Moses, David A., et al. "Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria." New England Journal of Medicine, vol. 385, no. 3, 2021, pp. 217–227, https://doi.org/10.1056/nejmoa2027540.
Moses, David A., Sean L. Metzger, Jessie R. Liu, Gopala K. Anumanchipalli, Joseph G. Makin, Pengfei Sun, Josh Chartier, et al. "Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria." New England Journal of Medicine 385, no. 3 (2021): 217–227. https://doi.org/10.1056/nejmoa2027540.
Moses D. A., Metzger S. L., Liu J. R. [и др.] Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria // New England Journal of Medicine. — 2021. — Vol. 385, № 3. — P. 217–227. — URL: https://doi.org/10.1056/nejmoa2027540
@article{moses2021neuroprosthesis,
title = {{Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria}},
author = {David A. Moses and Sean L. Metzger and Jessie R. Liu and Gopala K. Anumanchipalli and Joseph G. Makin and Pengfei Sun and Josh Chartier and Maximilian E. Dougherty and Patricia M. Liu and Gary Abrams and Adelyn Tu-Chan and Karunesh Ganguly and Edward F. Chang},
journal = {New England Journal of Medicine},
year = {2021},
volume = {385},
number = {3},
pages = {217--227},
doi = {10.1056/nejmoa2027540},
url = {https://doi.org/10.1056/nejmoa2027540}
}TY - JOUR AU - Moses, David A. AU - Metzger, Sean L. AU - Liu, Jessie R. AU - Anumanchipalli, Gopala K. AU - Makin, Joseph G. AU - Sun, Pengfei AU - Chartier, Josh AU - Dougherty, Maximilian E. AU - Liu, Patricia M. AU - Abrams, Gary AU - Tu-Chan, Adelyn AU - Ganguly, Karunesh AU - Chang, Edward F. TI - Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria JO - New England Journal of Medicine VL - 385 IS - 3 SP - 217 EP - 227 PY - 2021 DA - 2021/07/14 DO - 10.1056/nejmoa2027540 UR - https://doi.org/10.1056/nejmoa2027540 ER -
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