Evidence map›Paper›PMID 42736415›Full record

ArticleNature neuroscience2026

Simultaneous speech and gesture decoding for multimodal communication in paralysis.

Samantha C Brosler, Jessie R Liu, Alexander B Silva, Irina P Hallinan, Cady M Kurtz-Miott, Jonah F B Dunkel Wilker, Adelyn Tu-Chan, Karunesh Ganguly, Edward F Chang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. In conversation with Edward Chang.Nature neuroscience · 2026
    Article
  3. The many interfaces of neurotechnology.Nature neuroscience · 2026
    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

9 authors.

Samantha C Brosler *Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-5612-0982
Jessie R Liu *Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-9316-7624
Alexander B Silva *Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-0838-4136
Irina P HallinanDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
Cady M Kurtz-MiottDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-2489-0584
Jonah F B Dunkel WilkerDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0009-0002-7431-6422
Adelyn Tu-ChanDepartment of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Karunesh GangulyWeill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-2570-9943
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

A Pilot Clinical Trial for Speech NeuroprosthesisU01DC018671 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHANG, EDWARD · 2021 to 2025
$5.6M
MEXT | Japan Science and Technology Agency (JST) JPMJMS2012NIDCD NIH HHS U01 DC018671U.S. Department of Health & Human Services | NIH | National Institute on Deafness and Other Communication Disorders (NIDCD) 5U01DC018671
6 · The paper itself

Abstract

Stroke and neurodegenerative diseases can impair speech and nonverbal gestures, limiting natural communication. Brain-computer interfaces (BCIs) aim to restore these functions by translating neural activity into commands for external devices, although prior work has primarily focused on decoding speech or gestures in isolation. Here we show that neural signals recorded with a single high-density electrocorticography implant can support simultaneous decoding of speech and gestures in people with paralysis. We first show that isolated upper-limb and orofacial movements can be reliably decoded among three participants. Using parallel speech and gesture decoders, we then enabled participants to control a personalized virtual avatar by attempting speech and gestures simultaneously or in isolation. Training models on both isolated and simultaneous data improved performance across behavioral contexts. These findings demonstrate that one cortical implant can support multi-effector control and provide a step toward BCIs that enable more natural communication for people with paralysis.

Indexed as

Brain-Computer InterfacesGesturesParalysisSpeechAvatarElectrocorticographyFemaleHumansMale

Identifiers

PMID42736415
PMCPMC13633112

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.