Evidence map›Paper›PMID 31306609›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2019

Motor-Induced Suppression of the N100 Event-Related Potential During Motor Imagery Control of a Speech Synthesizer Brain-Computer Interface.

Jonathan S Brumberg, Kevin M Pitt

Open access · bronzeAbstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2019. 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
0.4field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Biomarkers of Auditory-Verbal Hallucinations.Advances in neurobiology · 2024
    Review
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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

2 authors at 1 institution in 1 country.

Jonathan S BrumbergDepartment of Speech-Language-Hearing: Sciences & Disorders, The University of Kansas, Lawrence.
Kevin M PittDepartment of Speech-Language-Hearing: Sciences & Disorders, The University of Kansas, Lawrence.
University of Kansas · US

Funding

Using PCORnet to Expand the DS-CONNECT Cohort Through Healthcare System Recruitment, Incorporating Electronic Health Records, and Assessing Self-DeterminationU54HD090216 · NICHD · UNIVERSITY OF KANSAS LAWRENCE · PI COLOMBO, JOHN A. · 2016 to 2020
$6.2M
A virtual vocal tract for speech output using non-invasive brain-computer interfaceR01DC016343 · NIDCD · UNIVERSITY OF KANSAS LAWRENCE · PI BRUMBERG, JONATHAN S · 2018 to 2022
$1.8M
Investigating output modality for a brain-computer interface for communicationR03DC011304 · NIDCD · UNIVERSITY OF KANSAS LAWRENCE · PI BRUMBERG, JONATHAN S · 2011 to 2013
$439k
NICHD NIH HHS U54 HD090216NIDCD NIH HHS R01 DC016343NIDCD NIH HHS R03 DC011304
6 · The paper itself

Abstract

Purpose Speech motor control relies on neural processes for generating sensory expectations using an efference copy mechanism to maintain accurate productions. The N100 auditory event-related potential (ERP) has been identified as a possible neural marker of the efference copy with a reduced amplitude during active listening while speaking when compared to passive listening. This study investigates N100 suppression while controlling a motor imagery speech synthesizer brain-computer interface (BCI) with instantaneous auditory feedback to determine whether similar mechanisms are used for monitoring BCI-based speech output that may both support BCI learning through existing speech motor networks and be used as a clinical marker for the speech network integrity in individuals without severe speech and physical impairments. Method The motor-induced N100 suppression is examined based on data from 10 participants who controlled a BCI speech synthesizer using limb motor imagery. We considered listening to auditory target stimuli (without motor imagery) in the BCI study as passive listening and listening to BCI-controlled speech output (with motor imagery) as active listening since audio output depends on imagined movements. The resulting ERP was assessed for statistical significance using a mixed-effects general linear model. Results Statistically significant N100 ERP amplitude differences were observed between active and passive listening during the BCI task. Post hoc analyses confirm the N100 amplitude was suppressed during active listening. Conclusion Observation of the N100 suppression suggests motor planning brain networks are active as participants control the BCI synthesizer, which may aid speech BCI mastery.

Indexed as

Brain-Computer InterfacesAdultAuditory PerceptionCommunication Devices for People with DisabilitiesElectroencephalographyEvoked Potentials, AuditoryEvoked Potentials, MotorFeedback, SensoryFemaleHumansImaginationMalePsychomotor PerformanceSpeechYoung Adult

Identifiers

PMID31306609
PMCPMC6808362
OpenAlexW2959787825

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.