Evidence map›Paper›PMID 32529035›Full record

ArticlePerspectives of the ASHA special interest groups2019

Behind the Scenes of Noninvasive Brain-Computer Interfaces: A Review of Electroencephalography Signals, How They Are Recorded, and Why They Matter.

Kevin M Pitt, Jonathan S Brumberg, Jeremy D Burnison, Jyutika Mehta, Juhi Kidwai

Abstract read
In one paragraph

Article in Perspectives of the ASHA special interest groups, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Identifying P300 brain-computer interface training strategies for AAC in children: a focus group study.Augmentative and alternative communication (Baltimore, Md. : 1985) · 2026
    Review
  4. Article
  5. Review
  6. Identifying Thematics in a Brain-Computer Interface Research.Computational intelligence and neuroscience · 2023
    Review
  7. 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

5 authors.

Kevin M PittDepartment of Special Education and Communication Disorders, University of Nebraska-Lincoln, Lincoln, NE.
Jonathan S BrumbergDepartment of Speech-Language-Hearing: Sciences & Disorders, University of Kansas, Lawrence, KS.
Jeremy D BurnisonDepartment of Scientific Support, Brain Vision LLC, Morrisville, NC.
Jyutika MehtaDepartment of Communication Sciences & Disorders, Texas Woman's University, Denton, TX.
Juhi KidwaiDepartment of Speech-Language-Hearing: Sciences & Disorders, University of Kansas, Lawrence, KS.

Funding

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
NIDCD NIH HHS R01 DC016343
6 · The paper itself

Abstract

purposeBrain-computer interface (BCI) techniques may provide computer access for individuals with severe physical impairments. However, the relatively hidden nature of BCI control obscures how BCI systems work behind the scenes, making it difficult to understand

methodThis tutorial was developed by a multidisciplinary team emphasizing primary and secondary BCI-AAC related signals of interest to speech-language-hearing.

resultsAn overview of BCI-AAC related signals are provided discussing 1)

conclusionTutorials highlighting how BCI-AAC signals are elicited and recorded can help increase interest and familiarity with EEG and BCI techniques and provide a framework for understanding key principles behind BCI-AAC design and implementation.

Indexed as

AACaugmentative and alternative communicationBCIBrain-computer interfacecontingent negative variationEEGelectroencephalographyevent-related potentialN400P300sensorimotor rhythmsteady state evoked potentials

Identifiers

PMID32529035
PMCPMC7288588

What OpenQuestion holds

Textmetadata
LicenceTDM
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.