Evidence map›Paper›PMID 37928600›Full record

ArticleNeurophotonics2023

It takes two (seconds): decreasing encoding time for two-choice functional near-infrared spectroscopy brain-computer interface communication.

Anna Vorreuther, Lisa Bastian, Amaia Benitez Andonegui, Danielle Evenblij, Lars Riecke, Michael Lührs, Bettina Sorger

Abstract read
In one paragraph

Article in Neurophotonics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. From lab to life: challenges and perspectives of fNIRS for haemodynamic-based neurofeedback in real-world environments.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
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

7 authors.

Anna VorreutherMaastricht University, Department of Cognitive Neuroscience, Maastricht, The Netherlands.
Lisa BastianMaastricht University, Department of Cognitive Neuroscience, Maastricht, The Netherlands.ORCID https://orcid.org/0000-0001-5812-0556
Amaia Benitez AndoneguiMaastricht University, Department of Cognitive Neuroscience, Maastricht, The Netherlands.
Danielle EvenblijMaastricht University, Department of Cognitive Neuroscience, Maastricht, The Netherlands.ORCID https://orcid.org/0000-0001-7711-7635
Lars RieckeMaastricht University, Department of Cognitive Neuroscience, Maastricht, The Netherlands.
Michael LührsMaastricht University, Department of Cognitive Neuroscience, Maastricht, The Netherlands.ORCID https://orcid.org/0000-0002-5888-0843
Bettina SorgerMaastricht University, Department of Cognitive Neuroscience, Maastricht, The Netherlands.ORCID https://orcid.org/0000-0003-1393-3144

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Brain-computer interfaces (BCIs) can provide severely motor-impaired patients with a motor-independent communication channel. Functional near-infrared spectroscopy (fNIRS) constitutes a promising BCI-input modality given its high mobility, safety, user comfort, cost-efficiency, and relatively low motion sensitivity. Aim: The present study aimed at developing an efficient and convenient two-choice fNIRS communication BCI by implementing a relatively short encoding time (2 s), considerably increasing communication speed, and decreasing the cognitive load of BCI users. Approach: To encode binary answers to 10 biographical questions, 10 healthy adults repeatedly performed a combined motor-speech imagery task within 2 different time windows guided by auditory instructions. Each answer-encoding run consisted of 10 trials. Answers were decoded during the ongoing experiment from the time course of the individually identified most-informative fNIRS channel-by-chromophore combination. Results: The answers of participants were decoded online with an accuracy of 85.8% (run-based group mean). Post-hoc analysis yielded an average single-trial accuracy of 68.1%. Analysis of the effect of number of trial repetitions showed that the best information-transfer rate could be obtained by combining four encoding trials. Conclusions: The study demonstrates that an encoding time as short as 2 s can enable immediate, efficient, and convenient fNIRS-BCI communication.

Indexed as

brain-based communicationbrain–computer interfacefNIRS“locked-in” syndromemental imagerymotor disabilityonline data analysis

Identifiers

PMID37928600
PMCPMC10620514

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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.