Human brain state monitoring in perceptual decision-making tasks
The purpose of this review is to observe the current state of research on sensorimotor integration in the human brain during visual perception and subsequent decision-making under conditions of ambiguous information. Methods. This review examines the approaches of time-frequency wavelet analysis for...
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Saratov State University
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doaj-b1274681c1d24b908343e7ab99c9bd512021-07-30T15:47:24ZengSaratov State UniversityИзвестия высших учебных заведений: Прикладная нелинейная динамика0869-66322542-19052021-07-0129460363410.18500/0869-6632-2021-29-4-603-634Human brain state monitoring in perceptual decision-making tasksHramov, Aleksandr Evgenevich0Maksimenko, Vladimir Aleksandrovich1Frolov, Nikita Sergeevich2Kurkin, Semen Andreevich3Grubov, Vadim Valerevich4Badarin, Artem Aleksandrovich5Andreev, Andrey Викторович6Kazantsev, Viktor Borisovich7Gordleeva, Susanna Jurevna8Pitsik, Elena N9Pisarchik, Alexander N.10Innopolis University, 1, Universitetskaya Str., Innopolis, 420500, RussiaInnopolis University, 1, Universitetskaya Str., Innopolis, 420500, RussiaInnopolis University, 1, Universitetskaya Str., Innopolis, 420500, RussiaInnopolis University, 1, Universitetskaya Str., Innopolis, 420500, RussiaInnopolis University, 1, Universitetskaya Str., Innopolis, 420500, RussiaInnopolis University, 1, Universitetskaya Str., Innopolis, 420500, RussiaInnopolis University, 1, Universitetskaya Str., Innopolis, 420500, RussiaInstitute of Applied Physics of the Russian Academy of Sciences, ul. Ul'yanova, 46, Nizhny Novgorod , 603950, RussiaFederal state budgetary educational institution of higher professional education Nizhny Novgorod state University named N. And.Lobachevsky, 603950 Nizhny Novgorod, Gagarin Avenue, 23Innopolis University, 1, Universitetskaya Str., Innopolis, 420500, RussiaUniversidad Politécnica de Madrid, Centre for Biomedical Technology, 28040 Madrid, ИспанияThe purpose of this review is to observe the current state of research on sensorimotor integration in the human brain during visual perception and subsequent decision-making under conditions of ambiguous information. Methods. This review examines the approaches of time-frequency wavelet analysis for brain activity when performing perceptual tasks, as well as the possibility of using such methods in the tasks of constructing brain – computer interfaces. Results. Electroencephalographic markers of increased attention during the perception of visual stimuli have been identified. Based on their we created brain – computer interfaces, which can monitor and control attention using biological feedback. Conclusion. We shown that the speed and correctness of our decisions depends on the quality of sensory evidence. Ambiguous sensory information requires more time to process, more attention and increases the probability of error. The use of neurointerfaces has shown that the brain’s resource is limited, and it is not maintained at a constant level – the time intervals of heightened attention alternate with the recovery period. https://andjournal.sgu.ru/sites/andjournal.sgu.ru/files/text-pdf/2021/07/hramov.pdfpartical directed coherencecouplingnonlinearitynonlinear systemsnonlinear couplinghigh–dimensional system |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hramov, Aleksandr Evgenevich Maksimenko, Vladimir Aleksandrovich Frolov, Nikita Sergeevich Kurkin, Semen Andreevich Grubov, Vadim Valerevich Badarin, Artem Aleksandrovich Andreev, Andrey Викторович Kazantsev, Viktor Borisovich Gordleeva, Susanna Jurevna Pitsik, Elena N Pisarchik, Alexander N. |
spellingShingle |
Hramov, Aleksandr Evgenevich Maksimenko, Vladimir Aleksandrovich Frolov, Nikita Sergeevich Kurkin, Semen Andreevich Grubov, Vadim Valerevich Badarin, Artem Aleksandrovich Andreev, Andrey Викторович Kazantsev, Viktor Borisovich Gordleeva, Susanna Jurevna Pitsik, Elena N Pisarchik, Alexander N. Human brain state monitoring in perceptual decision-making tasks Известия высших учебных заведений: Прикладная нелинейная динамика partical directed coherence coupling nonlinearity nonlinear systems nonlinear coupling high–dimensional system |
author_facet |
Hramov, Aleksandr Evgenevich Maksimenko, Vladimir Aleksandrovich Frolov, Nikita Sergeevich Kurkin, Semen Andreevich Grubov, Vadim Valerevich Badarin, Artem Aleksandrovich Andreev, Andrey Викторович Kazantsev, Viktor Borisovich Gordleeva, Susanna Jurevna Pitsik, Elena N Pisarchik, Alexander N. |
author_sort |
Hramov, Aleksandr Evgenevich |
title |
Human brain state monitoring in perceptual decision-making tasks |
title_short |
Human brain state monitoring in perceptual decision-making tasks |
title_full |
Human brain state monitoring in perceptual decision-making tasks |
title_fullStr |
Human brain state monitoring in perceptual decision-making tasks |
title_full_unstemmed |
Human brain state monitoring in perceptual decision-making tasks |
title_sort |
human brain state monitoring in perceptual decision-making tasks |
publisher |
Saratov State University |
series |
Известия высших учебных заведений: Прикладная нелинейная динамика |
issn |
0869-6632 2542-1905 |
publishDate |
2021-07-01 |
description |
The purpose of this review is to observe the current state of research on sensorimotor integration in the human brain during visual perception and subsequent decision-making under conditions of ambiguous information. Methods. This review examines the approaches of time-frequency wavelet analysis for brain activity when performing perceptual tasks, as well as the possibility of using such methods in the tasks of constructing brain – computer interfaces. Results. Electroencephalographic markers of increased attention during the perception of visual stimuli have been identified. Based on their we created brain – computer interfaces, which can monitor and control attention using biological feedback. Conclusion. We shown that the speed and correctness of our decisions depends on the quality of sensory evidence. Ambiguous sensory information requires more time to process, more attention and increases the probability of error. The use of neurointerfaces has shown that the brain’s resource is limited, and it is not maintained at a constant level – the time intervals of heightened attention alternate with the recovery period. |
topic |
partical directed coherence coupling nonlinearity nonlinear systems nonlinear coupling high–dimensional system |
url |
https://andjournal.sgu.ru/sites/andjournal.sgu.ru/files/text-pdf/2021/07/hramov.pdf |
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