Evidence map›Paper›PMID 37875404›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Stable Decoding from a Speech BCI Enables Control for an Individual with ALS without Recalibration for 3 Months.

Shiyu Luo, Miguel Angrick, Christopher Coogan, Daniel N Candrea, Kimberley Wyse-Sookoo, Samyak Shah, Qinwan Rabbani, Griffin W Milsap, Alexander R Weiss, William S Anderson and 10 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
14.3field-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.

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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

  1. Pooled it
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  12. Longitudinal study of gesture decoding in a clinical trial participant with ALS.medRxiv : the preprint server for health sciences · 2025
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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

20 authors at 3 institutions in 2 countries.

Shiyu LuoDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.ORCID 0000-0003-1650-9250
Miguel AngrickDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.ORCID 0000-0002-7050-3397
Christopher CooganDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.ORCID 0000-0002-6221-5264
Daniel N CandreaDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Kimberley Wyse-SookooDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.ORCID 0000-0002-7321-905X
Samyak ShahDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.ORCID 0000-0001-5940-3398
Qinwan RabbaniDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.ORCID 0000-0002-0514-6557
Griffin W MilsapResearch and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, 20723, USA.ORCID 0000-0002-2848-1032
Alexander R WeissDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.ORCID 0000-0003-2416-2883
William S AndersonDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Donna C TippettDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.ORCID 0000-0001-9485-9745
Nicholas J MaragakisDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.ORCID 0000-0002-7311-9614
Lora L ClawsonDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.
Mariska J VansteenselDepartment of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, 3584, The Netherlands.ORCID 0000-0002-9252-5116
Brock A WesterResearch and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, 20723, USA.ORCID 0000-0002-1500-2143
Francesco V TenoreResearch and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, 20723, USA.
Hynek HermanskyDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Matthew S FiferResearch and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, 20723, USA.ORCID 0000-0003-3425-7552
Nick F RamseyDepartment of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, 3584, The Netherlands.ORCID 0000-0002-7136-259X
Nathan E CroneDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.ORCID 0000-0001-7950-2617
Johns Hopkins University · 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
Brain-Computer Interface Implant for Severe Communication DisabilityU01DC016686 · NIDCD · UNIVERSITY MEDICAL CENTER UTRECHT · PI CRONE, NATHAN E, RAMSEY, NICOLAS FRANCISCUS · 2018 to 2021
$2.5M
NIDCD NIH HHS U01 DC016686NIDCD NIH HHS U01DC016686NINDS NIH HHS UH3 NS114439NINDS NIH HHS UH3NS114439
6 · The paper itself

Abstract

Brain-computer interfaces (BCIs) can be used to control assistive devices by patients with neurological disorders like amyotrophic lateral sclerosis (ALS) that limit speech and movement. For assistive control, it is desirable for BCI systems to be accurate and reliable, preferably with minimal setup time. In this study, a participant with severe dysarthria due to ALS operates computer applications with six intuitive speech commands via a chronic electrocorticographic (ECoG) implant over the ventral sensorimotor cortex. Speech commands are accurately detected and decoded (median accuracy: 90.59%) throughout a 3-month study period without model retraining or recalibration. Use of the BCI does not require exogenous timing cues, enabling the participant to issue self-paced commands at will. These results demonstrate that a chronically implanted ECoG-based speech BCI can reliably control assistive devices over long time periods with only initial model training and calibration, supporting the feasibility of unassisted home use.

Indexed as

Amyotrophic Lateral SclerosisBrain-Computer InterfacesElectrocorticographyHumansSpeechamyotrophic lateral sclerosis (ALS)brain-computer interfacesneural decodingspeech brain-computer interface (BCI)

Identifiers

PMID37875404
PMCPMC10724434
OpenAlexW4387897958

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.