Evidence map›Paper›PMID 35574291›Full record

ArticleBrain computer interfaces (Abingdon, England)2022

Extending Brain-Computer Interface Access with a Multilingual Language Model in the P300 Speller.

P Loizidou, E Rios, A Marttini, O Keluo-Udeke, J Soetedjo, J Belay, K Perifanos, N Pouratian, W Speier

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain computer interfaces (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

9 authors at 5 institutions in 2 countries.

P LoizidouRadiological Sciences, University of California, Los Angeles, Los Angeles, CA 90024, USA.
E RiosRadiology, Stanford University, Stanford, CA 94305, USA.
A MarttiniRadiological Sciences, University of California, Los Angeles, Los Angeles, CA 90024, USA.
O Keluo-UdekeComputer Science, University of Arkansas at Pine Bluff, Pine Bluff, AR 71601, USA.
J SoetedjoBioengineering, University of Washington, Seattle, Washington 98195, USA.
J BelayRadiological Sciences, University of California, Los Angeles, Los Angeles, CA 90024, USA.
K PerifanosLinguistics, National and Kapodistrian University of Athens, Athens, Attica 15784, Greece.
N PouratianNeurosurgery, University of California, Los Angeles, Los Angeles CA 90024, USA.
W SpeierRadiological Sciences, University of California, Los Angeles, Los Angeles, CA 90024, USA.
University of California, Los Angeles · USNational and Kapodistrian University of Athens · GRStanford University · USUniversity of Arkansas at Pine Bluff · USUniversity of Washington · US

Funding

Electrophysiologic and Anatomic Basis of BOLD fMRIK23EB014326 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI POURATIAN, NADER · 2012 to 2016
$946k
NIBIB NIH HHS K23 EB014326
6 · The paper itself

Abstract

Brain-computer interfaces (BCI) such as the P300 speller have the potential to restore communication to advanced-stage neuromuscular disease patients. Research has improved typing speed and accuracy through innovations including the use of language models. While significant advances have been made, implementations have largely been restricted to a single language, primarily English. It is unclear whether these improvements would extend to other languages that present potential technical hurdles due to different alphabets and grammatical structures. Here, we adapt a language model-based classifier designed for English to two other languages, Spanish and Greek, to demonstrate the generalizability of these methods. Online experimental trials with 30 healthy native English, Spanish, and Greek speakers showed no significant difference between performances using the different versions of the system (66.20 vs. 61.97 vs. 60.89 bits/minute). Extending these methods across languages allows for expanding access to BCI systems to other populations, particularly in the developing world.

Indexed as

amyotrophic lateral sclerosiselectroencephalographyhealthcare accesslanguage modelsP300

Identifiers

PMID35574291
PMCPMC9094140
OpenAlexW4200258605

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.