Evidence map›Paper›PMID 32015765›Full record

ArticleCognitive neurodynamics2020

An ERP-based BCI with peripheral stimuli: validation with ALS patients.

Yangyang Miao, Erwei Yin, Brendan Z Allison, Yu Zhang, Yan Chen, Yi Dong, Xingyu Wang, Dewen Hu, Andrzej Chchocki, Jing Jin

Open access · bronzeAbstract read
In one paragraph

Article in Cognitive neurodynamics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

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  17. [Bacomics--a new discipline integrating brain and the outside].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021
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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

10 authors at 7 institutions in 5 countries.

Yangyang Miao *1Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, People's Republic of China.
Erwei Yin *Unmanned Systems Research Center, National Institute of Defense Technology Innovation, Academy of Military Sciences China, Beijing, 100071 People's Republic of China.
Brendan Z Allison4Department of Cognitive Science, University of California at San Diego, La Jolla, San Diego, CA USA.
Yu Zhang5Department of Psychiatry and Behavior Sciences, Stanford University, Stanford, CA 94305 USA.
Yan Chen6Department of Neurology, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Yi Dong6Department of Neurology, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Xingyu Wang1Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, People's Republic of China.
Dewen Hu7College of Mechatronic Engineering and Automation, National University of Defense Technology Changsha, Hunan, 410073 People's Republic of China.
Andrzej ChchockiSkolkowo Institute of Science and Technology (SKOLTECH), Moscow, Russia 143026.
Jing Jin1Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, People's Republic of China.ORCID 0000-0002-6133-5491
East China University of Science and Technology · CNFudan University · CNCollaborative Innovation Center of Chemical Science and Engineering Tianjin · CNNational University of Defense Technology · CNSkolkovo Institute of Science and Technology · RUStanford University · USUniversity of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies reported that ERP-based BCIs can provide communication for some people with amyotrophic lateral sclerosis (ALS). ERP-based BCIs often present characters within a matrix that occupies the center of the visual field. However, several studies have identified some concerns with the matrix-based approach. This approach may lead to fatigue and errors resulting from flashing adjacent stimuli, and is impractical for users who might want to use the BCI in tandem with other software or feedback in the center of the monitor. In this paper, we introduce and validate an alternate ERP-based BCI display approach. By presenting stimuli near the periphery of the display, we reduce the adjacency problem and leave the center of the display available for feedback or other applications. Two ERP-based display approaches were tested on 18 ALS patients to: (1) compare performance between a conventional matrix speller paradigm (Matrix-P, mean visual angle 6°) and a new speller paradigm with peripherally distributed stimuli (Peripheral-P, mean visual angle 8.8°); and (2) assess performance while spelling 42 characters online continuously, without a break. In the Peripheral-P condition, 12 subjects attained higher than 80% feedback accuracy during online performance, and 7 of these subjects obtained higher than 90% accuracy. The experimental results showed that the Peripheral-P condition yielded performance comparable to the conventional Matrix-P condition (

Indexed as

AccuracyALSBCIERPITR

Identifiers

PMID32015765
PMCPMC6974196
OpenAlexW2950801803

What OpenQuestion holds

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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.