Evidence map›Paper›PMID 34531937›Full record

ArticleAssistive technology outcomes and benefits2019

Considering Augmentative and Alternative Communication Research for Brain-Computer Interface Practice.

Kevin M Pitt, Jonathan S Brumberg, Adrienne R Pitt

Abstract read
In one paragraph

Article in Assistive technology outcomes and benefits, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  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. Article
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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

3 authors.

Kevin M PittDepartment of Speech-Language-Hearing: Sciences & Disorders, University of Kansas, Lawrence, KS.
Jonathan S BrumbergDepartment of Speech-Language-Hearing: Sciences & Disorders, University of Kansas, Lawrence, KS.
Adrienne R PittDepartment 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 interfaces (BCIs) aim to provide access to augmentative and alternative communication (AAC) devices via brain activity alone. However, while BCI technology is expanding in the laboratory setting there is minimal incorporation into clinical practice. Building upon established AAC research and clinical best practices may aid the clinical translation of BCI practice, allowing advancements in both fields to be fully leveraged.

methodA multidisciplinary team developed considerations for how BCI products, practice, and policy may build upon existing AAC research, based upon published reports of existing AAC and BCI procedures. OUTCOMES/BENEFITS: Within each consideration, a review of BCI research is provided, along with considerations regarding how BCI procedures may build upon existing AAC methods. The consistent use of clinical/research procedures across disciplines can help facilitate collaborative efforts, engaging a range-individuals within the AAC community in the transition of BCI into clinical practice.

Indexed as

Augmentative and alternative communicationBrain-computer interfaceClinicalTranslation

Identifiers

PMID34531937
PMCPMC8442856

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.