Evidence map›Paper›PMID 39433597›Full record

ArticleCommunications medicine2024

A click-based electrocorticographic brain-computer interface enables long-term high-performance switch scan spelling.

Daniel N Candrea, Samyak Shah, Shiyu Luo, Miguel Angrick, Qinwan Rabbani, Christopher Coogan, Griffin W Milsap, Kevin C Nathan, Brock A Wester, William S Anderson and 9 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications medicine, 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Longitudinal study of gesture decoding in a clinical trial participant with ALS.medRxiv : the preprint server for health sciences · 2025
    Article
  6. Article
  7. Speech motor cortex enables BCI cursor control and click.bioRxiv : the preprint server for biology · 2024
    Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Daniel N CandreaDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA. dcandre3@jh.edu.
Samyak ShahDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Shiyu LuoDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-1650-9250
Miguel AngrickDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-7050-3397
Qinwan RabbaniDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-0514-6557
Christopher CooganDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-6221-5264
Griffin W MilsapResearch and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.ORCID http://orcid.org/0000-0002-2848-1032
Kevin C NathanDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Brock A WesterResearch and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
William S AndersonDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-0958-050X
Kathryn R RosenblattDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-9677-7997
Alpa UchilDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Lora ClawsonDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Nicholas J MaragakisDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Mariska J VansteenselDepartment of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, The Netherlands.
Francesco V TenoreResearch and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.ORCID http://orcid.org/0000-0002-1197-9643
Nicolas F RamseyDepartment of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-7136-259X
Matthew S FiferResearch and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.ORCID http://orcid.org/0000-0003-3425-7552
Nathan E CroneDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-7950-2617

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 UH3 NS114439
6 · The paper itself

Abstract

backgroundBrain-computer interfaces (BCIs) can restore communication for movement- and/or speech-impaired individuals by enabling neural control of computer typing applications. Single command click detectors provide a basic yet highly functional capability.

methodsWe sought to test the performance and long-term stability of click decoding using a chronically implanted high density electrocorticographic (ECoG) BCI with coverage of the sensorimotor cortex in a human clinical trial participant (ClinicalTrials.gov, NCT03567213) with amyotrophic lateral sclerosis. We trained the participant's click detector using a small amount of training data (<44 min across 4 days) collected up to 21 days prior to BCI use, and then tested it over a period of 90 days without any retraining or updating.

resultsUsing a click detector to navigate a switch scanning speller interface, the study participant can maintain a median spelling rate of 10.2 characters per min. Though a transient reduction in signal power modulation can interrupt usage of a fixed model, a new click detector can achieve comparable performance despite being trained with even less data (<15 min, within 1 day).

conclusionsThese results demonstrate that a click detector can be trained with a small ECoG dataset while retaining robust performance for extended periods, providing functional text-based communication to BCI users.

Identifiers

PMID39433597
PMCPMC11494178

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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.