Evidence map›Paper›PMID 38769157›Full record

ArticleNature biomedical engineering2024

A bilingual speech neuroprosthesis driven by cortical articulatory representations shared between languages.

Alexander B Silva, Jessie R Liu, Sean L Metzger, Ilina Bhaya-Grossman, Maximilian E Dougherty, Margaret P Seaton, Kaylo T Littlejohn, Adelyn Tu-Chan, Karunesh Ganguly, David A Moses and 1 more

Abstract read
In one paragraph

Article in Nature biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Size Scaling of the Electrochemical Performance of TiSmall (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  5. Size Scaling of the Electrochemical Performance of TibioRxiv : the preprint server for biology · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Action-type mapping principles extend beyond evolutionarily conserved actions, even in people born without hands.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Efficient neural encoding as revealed by bilingualism.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
  17. Review
  18. Error encoding in human speech motor cortex.bioRxiv : the preprint server for biology · 2025
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Alexander B SilvaDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-0838-4136
Jessie R LiuDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-9316-7624
Sean L MetzgerDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
Ilina Bhaya-GrossmanDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
Maximilian E DoughertyDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-0698-5678
Margaret P SeatonDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
Kaylo T LittlejohnDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
Adelyn Tu-ChanDepartment of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Karunesh GangulyWeill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-2570-9943
David A MosesDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
Edward F ChangDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA. edward.chang@ucsf.edu.ORCID http://orcid.org/0000-0003-2480-4700

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007618 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANDERSON, MARK S · 1985 to 2020
$29.6M
Medical Scientist Training Program (T32 NRSA Training Grant)T32GM141323 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Aimee Kao · 2021 to 2026
$10.5M
A Pilot Clinical Trial for Speech NeuroprosthesisU01DC018671 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHANG, EDWARD · 2021 to 2025
$5.6M
Developing a bilingual speech neuroprosthesisF30DC021872 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alexander Budugur Silva · 2024 to 2026
$139k
Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) DC018671-01A1NIDCD NIH HHS F30 DC021872NIDCD NIH HHS U01 DC018671NIGMS NIH HHS T32 GM007618NIGMS NIH HHS T32 GM141323U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) T32GM007618
6 · The paper itself

Abstract

Advancements in decoding speech from brain activity have focused on decoding a single language. Hence, the extent to which bilingual speech production relies on unique or shared cortical activity across languages has remained unclear. Here, we leveraged electrocorticography, along with deep-learning and statistical natural-language models of English and Spanish, to record and decode activity from speech-motor cortex of a Spanish-English bilingual with vocal-tract and limb paralysis into sentences in either language. This was achieved without requiring the participant to manually specify the target language. Decoding models relied on shared vocal-tract articulatory representations across languages, which allowed us to build a syllable classifier that generalized across a shared set of English and Spanish syllables. Transfer learning expedited training of the bilingual decoder by enabling neural data recorded in one language to improve decoding in the other language. Overall, our findings suggest shared cortical articulatory representations that persist after paralysis and enable the decoding of multiple languages without the need to train separate language-specific decoders.

Indexed as

ElectrocorticographyMultilingualismSpeechBrain-Computer InterfacesDeep LearningHumansLanguageMaleMotor CortexNeural Prostheses

Identifiers

PMID38769157
PMCPMC11554235

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.