Evidence map›Paper›PMID 34447933›Full record

ArticleCerebral cortex communications2021

Binary Semantic Classification Using Cortical Activation with Pavlovian-Conditioned Vestibular Responses in Healthy and Locked-In Individuals.

Natsue Yoshimura, Kaito Umetsu, Alessandro Tonin, Yasuhisa Maruyama, Kyosuke Harada, Aygul Rana, Gowrishankar Ganesh, Ujwal Chaudhary, Yasuharu Koike, Niels Birbaumer

Abstract read
In one paragraph

Article in Cerebral cortex communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Natsue YoshimuraInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama 226-8503, Japan.ORCID https://orcid.org/0000-0002-7495-9113
Kaito UmetsuInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama 226-8503, Japan.
Alessandro ToninWyss-Center for Bio and NeuroEngineering, Geneva CH-1202, Switzerland.
Yasuhisa MaruyamaInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama 226-8503, Japan.
Kyosuke HaradaInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama 226-8503, Japan.
Aygul RanaInstitute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, 72076 Tübingen, Germany.
Gowrishankar GaneshLaboratorie d'Informatique, de Robotique et de Microelectronique de Montpellier, U. Montpellier, CNRS, 34095 Montpellier, France.
Ujwal ChaudharyInstitute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, 72076 Tübingen, Germany.
Yasuharu KoikeInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama 226-8503, Japan.
Niels BirbaumerInstitute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, 72076 Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To develop a more reliable brain-computer interface (BCI) for patients in the completely locked-in state (CLIS), here we propose a Pavlovian conditioning paradigm using galvanic vestibular stimulation (GVS), which can induce a strong sensation of equilibrium distortion in individuals. We hypothesized that associating two different sensations caused by two-directional GVS with the thoughts of "yes" and "no" by individuals would enable us to emphasize the differences in brain activity associated with the thoughts of yes and no and hence help us better distinguish the two from electroencephalography (EEG). We tested this hypothesis with 11 healthy and 1 CLIS participant. Our results showed that, first, conditioning of GVS with the thoughts of yes and no is possible. And second, the classification of whether an individual is thinking "yes" or "no" is significantly improved after the conditioning, even in the absence of subsequent GVS stimulations. We observed average classification accuracy of 73.0% over 11 healthy individuals and 85.3% with the CLIS patient. These results suggest the establishment of GVS-based Pavlovian conditioning and its usability as a noninvasive BCI.

Indexed as

brain–computer interfacecompletely locked-in stateelectroencephalographygalvanic vestibular stimulationPavlovian conditioning

Identifiers

PMID34447933
PMCPMC8382900

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.