Evidence map›Paper›PMID 36786985›Full record

ArticleDoklady. Biochemistry and biophysics2022

Dependence of Brain-Computer Interface Control Training on Personality Traits.

E V Bobrova, V V Reshetnikova, E A Vershinina, A A Grishin, M R Isaev, P D Bobrov, Yu P Gerasimenko

Abstract read
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In one paragraph

Article in Doklady. Biochemistry and biophysics, 2022. 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, top 82% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

7 authors at 2 institutions in 1 country.

E V BobrovaPavlov Institute of Physiology, Russian Academy of Sciences, St. Petersburg, Russia.
V V ReshetnikovaPavlov Institute of Physiology, Russian Academy of Sciences, St. Petersburg, Russia.
E A VershininaPavlov Institute of Physiology, Russian Academy of Sciences, St. Petersburg, Russia.
A A GrishinPavlov Institute of Physiology, Russian Academy of Sciences, St. Petersburg, Russia. agrishin@infran.ru.
M R IsaevInstitute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia.
P D BobrovInstitute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia.
Yu P GerasimenkoPavlov Institute of Physiology, Russian Academy of Sciences, St. Petersburg, Russia.
Pavlov Institute of Physiology of the Russian Academy of Sciences · RUInstitute of Higher Nervous Activity and Neurophysiology · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personality traits (PTs) are predictors of the success of control of brain-computer interfaces (BCIs); however, it is unknown how the PTs that are optimal for BCI control changes during training. The paper for the first time analyzes the correlations between PTs and the accuracy of the classification (AC) of brain states in imagining the movements of the hands, feet, and locomotion during 10-day training of ten volunteers in BCI control. In the first 3 days of training, the AC is higher for more stressed and anxious volunteers; in the last days, for calmer ones. In the middle of the training period, AC is higher in low-demonstrativeness persons, it is more pronounced when imagining foot movements. Correlations of low demonstrativeness, as well as of foresight and self-control with AC when imagining foot movements are revealed significantly more often than when imagining hand movements and locomotions. During almost the entire period of training, AC with locomotion imagination is higher in individualists. The results make it possible to propose individually-oriented recommendations for the use of BCI based on the imagination of movements for the rehabilitation of patients with motor disorders.

Indexed as

Brain-Computer InterfacesElectroencephalographyHumansImaginationMovementPersonalitybrain–computer interfacesimagination of flexion of the footimagination of locomotionimagination of opening the handlearning to imagine movementspersonality traits

Identifiers

PMID36786985
OpenAlexW4320710368

What OpenQuestion holds

Textmetadata
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.