Evidence map›Paper›PMID 38671062›Full record

ArticleScientific reports2024

Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS.

Miguel Angrick, Shiyu Luo, Qinwan Rabbani, Daniel N Candrea, Samyak Shah, Griffin W Milsap, William S Anderson, Chad R Gordon, Kathryn R Rosenblatt, Lora Clawson and 7 more

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03567213 (Investigation on the Cortical Communication), which is not on this map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
23.0field-weighted citation impact, top 1% of its field
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.

NCT03567213 narecruitingnot on this map

Investigation on the Cortical Communication (CortiCom) System

TypeinterventionalSponsorJohns Hopkins UniversityRan2021 to 2030Enrolled3ConditionsTetraplegia, Locked-in Syndrome, Brainstem Stroke, Amyotrophic Lateral SclerosisArmsSurgical implantation of CortiCom system
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. AI in Medical Questionnaires: Scoping ReviewJournal of medical Internet research · 2025
    Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Application and Research Progress of BCI in Post-Stroke Psychiatric Disorders: A Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Review
  11. Review
  12. Review
  13. Article
  14. Longitudinal study of gesture decoding in a clinical trial participant with ALS.medRxiv : the preprint server for health sciences · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. [Technical maturity and bubble risks of brain-computer interface (BCI): Considerations from research to industrial translation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 2 countries.

Miguel AngrickDepartment of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA. mangric1@jhu.edu.
Shiyu LuoDepartment of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Qinwan RabbaniDepartment of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, USA.
Daniel N CandreaDepartment of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Samyak ShahDepartment of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Griffin W MilsapResearch and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA.
William S AndersonDepartment of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Chad R GordonDepartment of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kathryn R RosenblattDepartment of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Lora ClawsonDepartment of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Donna C TippettDepartment of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Nicholas MaragakisDepartment of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Francesco V TenoreResearch and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA.
Matthew S FiferResearch and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA.
Hynek HermanskyCenter for Language and Speech Processing, The Johns Hopkins University, Baltimore, MD, USA.
Nick F RamseyUMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands.
Nathan E CroneDepartment of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA. ncrone@jhmi.edu.
Johns Hopkins University · USJohns Hopkins Medicine · USJohns Hopkins University Applied Physics Laboratory · USUniversity Medical Center Utrecht · NL

Funding

Investigation of the Cortical Communication (CORTICOM) SystemUH3NS114439 · NINDS · JOHNS HOPKINS UNIVERSITY · PI CRONE, NATHAN E, RAMSEY, NICOLAS FRANCISCUS · 2020 to 2025
$6.6M
NINDS NIH HHS NS114439NINDS NIH HHS UH3 NS114439
6 · The paper itself

Abstract

Brain-computer interfaces (BCIs) that reconstruct and synthesize speech using brain activity recorded with intracranial electrodes may pave the way toward novel communication interfaces for people who have lost their ability to speak, or who are at high risk of losing this ability, due to neurological disorders. Here, we report online synthesis of intelligible words using a chronically implanted brain-computer interface (BCI) in a man with impaired articulation due to ALS, participating in a clinical trial (ClinicalTrials.gov, NCT03567213) exploring different strategies for BCI communication. The 3-stage approach reported here relies on recurrent neural networks to identify, decode and synthesize speech from electrocorticographic (ECoG) signals acquired across motor, premotor and somatosensory cortices. We demonstrate a reliable BCI that synthesizes commands freely chosen and spoken by the participant from a vocabulary of 6 keywords previously used for decoding commands to control a communication board. Evaluation of the intelligibility of the synthesized speech indicates that 80% of the words can be correctly recognized by human listeners. Our results show that a speech-impaired individual with ALS can use a chronically implanted BCI to reliably produce synthesized words while preserving the participant's voice profile, and provide further evidence for the stability of ECoG for speech-based BCIs.

Indexed as

Amyotrophic Lateral SclerosisBrain-Computer InterfacesSpeechElectrocorticographyElectrodes, ImplantedHumansMaleMiddle Aged

Identifiers

PMID38671062
PMCPMC11053081
OpenAlexW4395666645

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.