Evidence map›Paper›PMID 26510583›Full record

Trial reportScientific reports2015

A Gaze Independent Brain-Computer Interface Based on Visual Stimulation through Closed Eyelids.

Han-Jeong Hwang, Valeria Y Ferreria, Daniel Ulrich, Tayfun Kilic, Xenofon Chatziliadis, Benjamin Blankertz, Matthias Treder

Abstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2015. 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. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  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

7 authors.

Han-Jeong HwangMachine Learning Group, Berlin Institute of Technology (TU Berlin), Marchstrasse 23, 10587 Berlin, Germany.
Valeria Y FerreriaNeurotechnology Group, Berlin Institute of Technology (TU Berlin), Marchstrasse 23, 10587 Berlin, Germany.
Daniel UlrichNeurotechnology Group, Berlin Institute of Technology (TU Berlin), Marchstrasse 23, 10587 Berlin, Germany.
Tayfun KilicNeurotechnology Group, Berlin Institute of Technology (TU Berlin), Marchstrasse 23, 10587 Berlin, Germany.
Xenofon ChatziliadisNeurotechnology Group, Berlin Institute of Technology (TU Berlin), Marchstrasse 23, 10587 Berlin, Germany.
Benjamin BlankertzNeurotechnology Group, Berlin Institute of Technology (TU Berlin), Marchstrasse 23, 10587 Berlin, Germany.
Matthias TrederNeurotechnology Group, Berlin Institute of Technology (TU Berlin), Marchstrasse 23, 10587 Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A classical brain-computer interface (BCI) based on visual event-related potentials (ERPs) is of limited application value for paralyzed patients with severe oculomotor impairments. In this study, we introduce a novel gaze independent BCI paradigm that can be potentially used for such end-users because visual stimuli are administered on closed eyelids. The paradigm involved verbally presented questions with 3 possible answers. Online BCI experiments were conducted with twelve healthy subjects, where they selected one option by attending to one of three different visual stimuli. It was confirmed that typical cognitive ERPs can be evidently modulated by the attention of a target stimulus in eyes-closed and gaze independent condition, and further classified with high accuracy during online operation (74.58% ± 17.85 s.d.; chance level 33.33%), demonstrating the effectiveness of the proposed novel visual ERP paradigm. Also, stimulus-specific eye movements observed during stimulation were verified as reflex responses to light stimuli, and they did not contribute to classification. To the best of our knowledge, this study is the first to show the possibility of using a gaze independent visual ERP paradigm in an eyes-closed condition, thereby providing another communication option for severely locked-in patients suffering from complex ocular dysfunctions.

Indexed as

Brain-Computer InterfacesEyelidsPhotic StimulationAdultEvoked PotentialsFemaleHumansMale

Identifiers

PMID26510583
PMCPMC4625131

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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.