Vasilyev Anatoly
Senior research fellow
PhD in Biology
Publications:
2024
13.
Yashin, Artem S.; Vasilyev, Anatoly N.; Shevtsova, Yulia G.; Shishkin, Sergei L. (2024). Can Quasi-Movements be Used as a Model of the BCI Based on Attempted Movements? 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Sarawak, Malaysia, October 6-10, 2024. 2028-2033. https://doi.org/10.1109/smc54092.2024.10831475
@conference{Yashin2024d,
title = {Can Quasi-Movements be Used as a Model of the BCI Based on Attempted Movements?},
author = {Artem S. Yashin and Anatoly N. Vasilyev and Yulia G. Shevtsova and Sergei L. Shishkin},
doi = {10.1109/smc54092.2024.10831475},
year = {2024},
date = {2024-10-06},
urldate = {2024-10-06},
booktitle = {2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
pages = {2028-2033},
address = {Sarawak, Malaysia, October 6-10, 2024},
abstract = {Brain-computer interfaces (BCls) based on motor imagery (imagined movements, 1M) are among the most common BCls for the rehabilitation of paralyzed patients. However, it is possible that attempted movements (AM) would be more an effective alternative for 1M. Unlike 1M, AM are difficult to study outside of clinical practice. Nikulin et al. (2008) suggest that quasi-movements (QM) could help model AM in healthy participants without immobilizing interventions. QM result from the amplitude reduction of an overt movement, which leads to the practical absence of electromyography (EMG) response. The performance of QM may have features that may distance QM from AM. Here, we examined the compatibility of QM with a saccade task, which modelled visual interaction with the outside world during the practical use of a BCI. In a study involving 24 volunteers, we used electroencephalography (EEG), EMG, and conducted an extensive survey of the participants. We expected that, compared to 1M, QM in the dual-task condition would be easier and less tiring and would be accompanied by greater event-related desynchronization (ERD) of the sensorimotor rhythms. Our hypotheses were based on the assumption that like AM and unlike 1M, QM is a more external task, and so is more compatible with the saccade task. We reproduced the effect of greater ERD for QM in the dual-task condition but did not find any significant difference between the difficulty or tediousness of QM and 1M. Nevertheless, the survey data gave us important insights into the challenges participants faced when performing QM. Despite EMG values similar to 1M, the feeling of muscle tension experienced by the participants correlated with mean EMG values. The main challenge in performing QM by the participants was to make movements without an amplitude. Performing QM conflicted with the illusion of movement that was supposed to accompany them: without proprioceptive feedback, participants doubt the reality of QM. Our results can be used to improve the procedure of QM training, which should bring them closer to genuine attempts of movements in the eyes of participants.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Brain-computer interfaces (BCls) based on motor imagery (imagined movements, 1M) are among the most common BCls for the rehabilitation of paralyzed patients. However, it is possible that attempted movements (AM) would be more an effective alternative for 1M. Unlike 1M, AM are difficult to study outside of clinical practice. Nikulin et al. (2008) suggest that quasi-movements (QM) could help model AM in healthy participants without immobilizing interventions. QM result from the amplitude reduction of an overt movement, which leads to the practical absence of electromyography (EMG) response. The performance of QM may have features that may distance QM from AM. Here, we examined the compatibility of QM with a saccade task, which modelled visual interaction with the outside world during the practical use of a BCI. In a study involving 24 volunteers, we used electroencephalography (EEG), EMG, and conducted an extensive survey of the participants. We expected that, compared to 1M, QM in the dual-task condition would be easier and less tiring and would be accompanied by greater event-related desynchronization (ERD) of the sensorimotor rhythms. Our hypotheses were based on the assumption that like AM and unlike 1M, QM is a more external task, and so is more compatible with the saccade task. We reproduced the effect of greater ERD for QM in the dual-task condition but did not find any significant difference between the difficulty or tediousness of QM and 1M. Nevertheless, the survey data gave us important insights into the challenges participants faced when performing QM. Despite EMG values similar to 1M, the feeling of muscle tension experienced by the participants correlated with mean EMG values. The main challenge in performing QM by the participants was to make movements without an amplitude. Performing QM conflicted with the illusion of movement that was supposed to accompany them: without proprioceptive feedback, participants doubt the reality of QM. Our results can be used to improve the procedure of QM training, which should bring them closer to genuine attempts of movements in the eyes of participants.
12.
Miroshnikov, Andrei; Yakovlev, Lev; Syrov, Nikolay; Vasilyev, Anatoly; Berkmush-Antipova, Artemiy; Golovanov, Frol; Kaplan, Alexander (2024). Differential Hemodynamic Responses to Motor and Tactile Imagery: Insights from Multichannel fNIRS Mapping. Brain Topography, 38, 4. https://doi.org/10.1007/s10548-024-01075-x
@article{Miroshnikov2024,
title = {Differential Hemodynamic Responses to Motor and Tactile Imagery: Insights from Multichannel fNIRS Mapping},
author = {Andrei Miroshnikov and Lev Yakovlev and Nikolay Syrov and Anatoly Vasilyev and Artemiy Berkmush-Antipova and Frol Golovanov and Alexander Kaplan},
url = {https://megmoscow.ru/wp-content/uploads/pubs/10.1007_s10548-024-01075-x.pdf},
doi = {10.1007/s10548-024-01075-x},
issn = {1573-6792},
year = {2024},
date = {2024-10-04},
urldate = {2024-10-04},
journal = {Brain Topography },
volume = {38},
pages = {4},
publisher = {Springer Science and Business Media LLC},
abstract = {Tactile and motor imagery are crucial components of sensorimotor functioning and cognitive neuroscience research, yet the neural mechanisms of tactile imagery remain underexplored compared to motor imagery. This study employs multichannel functional near-infrared spectroscopy (fNIRS) combined with image reconstruction techniques to investigate the neural hemodynamics associated with tactile (TI) and motor imagery (MI). In a study of 15 healthy participants, we found that MI elicited significantly greater hemodynamic responses (HRs) in the precentral area compared to TI, suggesting the involvement of different cortical areas involved in two different types of sensorimotor mental imagery. Concurrently, the HRs in S1 and parietal areas exhibited comparable patterns in both TI and MI. During MI, both motor and somatosensory areas demonstrated comparable HRs. However, in TI, somatosensory activation was observed to be more pronounced. Our results highlight the distinctive neural profiles of motor versus tactile imagery and indicate fNIRS technique to be sensitive for this. This distinction is significant for fundamental understanding of sensorimotor integration and for developing advanced neurotechnologies, including imagery-based brain-computer interfaces (BCIs) that can differentiate between different types of mental imagery.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Tactile and motor imagery are crucial components of sensorimotor functioning and cognitive neuroscience research, yet the neural mechanisms of tactile imagery remain underexplored compared to motor imagery. This study employs multichannel functional near-infrared spectroscopy (fNIRS) combined with image reconstruction techniques to investigate the neural hemodynamics associated with tactile (TI) and motor imagery (MI). In a study of 15 healthy participants, we found that MI elicited significantly greater hemodynamic responses (HRs) in the precentral area compared to TI, suggesting the involvement of different cortical areas involved in two different types of sensorimotor mental imagery. Concurrently, the HRs in S1 and parietal areas exhibited comparable patterns in both TI and MI. During MI, both motor and somatosensory areas demonstrated comparable HRs. However, in TI, somatosensory activation was observed to be more pronounced. Our results highlight the distinctive neural profiles of motor versus tactile imagery and indicate fNIRS technique to be sensitive for this. This distinction is significant for fundamental understanding of sensorimotor integration and for developing advanced neurotechnologies, including imagery-based brain-computer interfaces (BCIs) that can differentiate between different types of mental imagery.
2023
11.
Shevtsova, Yulia G.; Vasilyev, Anatoly N.; Shishkin, Sergei L. (2023). Machine Learning for Gaze-Based Selection: Performance Assessment Without Explicit Labeling. HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, volume 14054. Springer Nature Switzerland. 311-322. https://doi.org/10.1007/978-3-031-48038-6_19
@conference{Shevtsova2023,
title = {Machine Learning for Gaze-Based Selection: Performance Assessment Without Explicit Labeling},
author = {Yulia G. Shevtsova and Anatoly N. Vasilyev and Sergei L. Shishkin},
doi = {10.1007/978-3-031-48038-6_19},
isbn = {9783031480386},
year = {2023},
date = {2023-11-25},
urldate = {2023-11-25},
booktitle = {HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, volume 14054},
pages = {311-322},
publisher = {Springer Nature Switzerland},
abstract = {Gaze-based interaction typically requires certain actions to confirm selections, which often makes interaction less convenient. Recently, effective identification of the user’s intention to make a gaze-based selection was demonstrated by Isomoto et al. (2022) using machine learning applied to gaze behavior features. However, a certain bias could appear in that study since the participants were requested to report their intentions during the interaction experiment. Here, we applied several classification algorithms (linear discriminant analysis, RBF and linear support vector machines, and random forest) to gaze features characterizing selections made in a freely played gaze-controlled game, in which moves were made by sequences of gaze-based selections and their gaze-based confirmations, without separate reporting the correctness of the selection. Intention to select was successfully predicted by each of the classifiers using features collected before the selection.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Gaze-based interaction typically requires certain actions to confirm selections, which often makes interaction less convenient. Recently, effective identification of the user’s intention to make a gaze-based selection was demonstrated by Isomoto et al. (2022) using machine learning applied to gaze behavior features. However, a certain bias could appear in that study since the participants were requested to report their intentions during the interaction experiment. Here, we applied several classification algorithms (linear discriminant analysis, RBF and linear support vector machines, and random forest) to gaze features characterizing selections made in a freely played gaze-controlled game, in which moves were made by sequences of gaze-based selections and their gaze-based confirmations, without separate reporting the correctness of the selection. Intention to select was successfully predicted by each of the classifiers using features collected before the selection.
10.
Васильев, А. Н.; Маковская, А. Е.; Каплан, А. Я. (2023). Динамика сенсомоторного ритма ЭЭГ при мысленном повторении за наблюдаемым движением. Журнал высшей нервной деятельности им. И. П. Павлова, 73(4), 490-509. https://doi.org/10.31857/s004446772304010x
@article{Vasilyev2023,
title = {Динамика сенсомоторного ритма ЭЭГ при мысленном повторении за наблюдаемым движением},
author = {А.Н. Васильев and А.Е. Маковская and А.Я. Каплан },
url = {https://megmoscow.ru/wp-content/uploads/pubs/10.31857_s004446772304010x.pdf},
doi = {10.31857/s004446772304010x},
issn = {0044-4677},
year = {2023},
date = {2023-07-01},
urldate = {2023-07-01},
journal = {Журнал высшей нервной деятельности им. И. П. Павлова},
volume = {73},
number = {4},
pages = {490-509},
publisher = {Российская академия наук},
abstract = {Мысленная симуляция собственного движения, или представление движения, а также наблюдение за движениями других людей применяются в нейрореабилитации в качестве методов стимуляции сенсомоторных отделов мозга. В настоящей работе тестируется новый способ представления – мысленная имитация движения, синхронная с движением, наблюдаемым от первого лица на видеоэкране. Задачами исследования являлись сравнение реактивности сенсомоторных ритмов ЭЭГ при произвольном представлении движения и представлении вслед за видеостимулом, а также выявление связи между фазами движения на видео и динамикой паттернов ЭЭГ. В исследовании приняли участие 30 здоровых добровольцев, у которых регистрировалась 69-канальная энцефалограмма во время выполнения и представления ими движений большим пальцем правой руки в двух режимах: произвольно (без внешнего ориентира) и синхронно имитируя движение на видеоролике. При анализе ЭЭГ у испытуемых выделялись индивидуальные пространственно-частотные компоненты с наибольшей реактивностью мю-ритма ЭЭГ (8–14 Гц), после чего проводилась количественная оценка десинхронизации в изучаемых условиях на основе анализа распределений плотности вероятности мощности мю-ритма. Для оценки связи динамики десинхронизации мю-ритма с событиями на видео применялась обобщенная аддитивная модель, описывающая функцию ответов на одиночные события в наблюдаемых движениях и их суммацию при серийном выполнении или представления движений. Было показано, что мысленная кинестетическая симуляция наблюдаемого движения не приводит к увеличению десинхронизации сенсомоторных ритмов по сравнению с произвольным представлением такого же движения. Впервые установлено, что во временном ходе десинхронизации мю-ритма возникают пертурбации, зависящие от фазы и скорости наблюдаемого движения как при его синхронном мышечном повторении, так и при мысленной синхронной имитации. Полученные результаты могут быть использованы для оптимизации параметров движений в индивидуальных системах идеомоторных тренировок с ЭЭГ-контролем для достижения наибольшей сенсомоторной активации.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Мысленная симуляция собственного движения, или представление движения, а также наблюдение за движениями других людей применяются в нейрореабилитации в качестве методов стимуляции сенсомоторных отделов мозга. В настоящей работе тестируется новый способ представления – мысленная имитация движения, синхронная с движением, наблюдаемым от первого лица на видеоэкране. Задачами исследования являлись сравнение реактивности сенсомоторных ритмов ЭЭГ при произвольном представлении движения и представлении вслед за видеостимулом, а также выявление связи между фазами движения на видео и динамикой паттернов ЭЭГ. В исследовании приняли участие 30 здоровых добровольцев, у которых регистрировалась 69-канальная энцефалограмма во время выполнения и представления ими движений большим пальцем правой руки в двух режимах: произвольно (без внешнего ориентира) и синхронно имитируя движение на видеоролике. При анализе ЭЭГ у испытуемых выделялись индивидуальные пространственно-частотные компоненты с наибольшей реактивностью мю-ритма ЭЭГ (8–14 Гц), после чего проводилась количественная оценка десинхронизации в изучаемых условиях на основе анализа распределений плотности вероятности мощности мю-ритма. Для оценки связи динамики десинхронизации мю-ритма с событиями на видео применялась обобщенная аддитивная модель, описывающая функцию ответов на одиночные события в наблюдаемых движениях и их суммацию при серийном выполнении или представления движений. Было показано, что мысленная кинестетическая симуляция наблюдаемого движения не приводит к увеличению десинхронизации сенсомоторных ритмов по сравнению с произвольным представлением такого же движения. Впервые установлено, что во временном ходе десинхронизации мю-ритма возникают пертурбации, зависящие от фазы и скорости наблюдаемого движения как при его синхронном мышечном повторении, так и при мысленной синхронной имитации. Полученные результаты могут быть использованы для оптимизации параметров движений в индивидуальных системах идеомоторных тренировок с ЭЭГ-контролем для достижения наибольшей сенсомоторной активации.
9.
Vasilyev, A. N.; Kryuchkova, A. G.; Makovskaya, A. E. (2023). Increased Sensitivity of Spatial Filters by Combining the Magnetic and Electrical Components of the Sensorimotor Cortical Beta Rhythm. Moscow University Biological Sciences Bulletin, 78(1), 1-7. https://doi.org/10.3103/s0096392523010066
@article{Vasilyev2023b,
title = {Increased Sensitivity of Spatial Filters by Combining the Magnetic and Electrical Components of the Sensorimotor Cortical Beta Rhythm},
author = {A.N. Vasilyev and A.G. Kryuchkova and A.E. Makovskaya},
url = {https://megmoscow.ru/wp-content/uploads/pubs/10.3103_s0096392523010066.pdf},
doi = {10.3103/s0096392523010066},
issn = {1934-791X},
year = {2023},
date = {2023-06-15},
urldate = {2023-06-15},
journal = {Moscow University Biological Sciences Bulletin },
volume = {78},
number = {1},
pages = {1-7},
publisher = {Allerton Press},
abstract = {Modulation of human magnetic or electrical sensorimotor rhythms during motor imagery is widely used in fundamental and applied neurophysiological research. To date, there is evidence of a better sensitivity of magnetic field sensors to beta-rhythm modulation; however, the potential synergistic effect of combining the two modalities has not yet been investigated. In this study, simultaneous registration of an electroencephalogram (EEG) and a magnetoencephalogram (MEG) was carried out in eight healthy volunteers during voluntary and imaginary movements as well as during electrical stimulation of the median nerve. In all subjects it was possible to identify desynchronization (suppression) of µ- and β-rhythms during the performance of sensorimotor tasks as well as β-synchronization after the end of movement or stimulation. Using the common projections of the covariance signal matrices of the electric, magnetic, and combined (MEEG) modalities, the most sensitive individual spatial filters were calculated separately for each type of reaction. Relative to the prestimulus control, the amplitude of changes in the amplitude of sensorimotor rhythm components was found to be the largest in the combined MEEG modality. At the same time, for µ-desynchronization, MEG turned out to be significantly worse than MEEG; as for β-desynchronization, MEEG was shown to be significantly better than MEG and EEG. For β-synchronization, a shift in the position of sources in the fronto-medial direction was demonstrated, and there were no significant differences in amplitude between the modalities. It was also shown that, for β-desynchronization, most subjects identified MEG sources with identical EEG projections or without pronounced EEG projections, which indicated the presence of several small tangentially located cortical dipoles involved in β-rhythm desynchronization. The results suggested that the combination of MEG and EEG led to greater sensitivity in studies of modulation of sensorimotor rhythm components, in particular β-desynchronization. The multifocal nature of the magnetic β-rhythm and its different expression in EEG sources indicated the presence of independent regulatory circuits of cortical-thalamic or intracortical origin.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Modulation of human magnetic or electrical sensorimotor rhythms during motor imagery is widely used in fundamental and applied neurophysiological research. To date, there is evidence of a better sensitivity of magnetic field sensors to beta-rhythm modulation; however, the potential synergistic effect of combining the two modalities has not yet been investigated. In this study, simultaneous registration of an electroencephalogram (EEG) and a magnetoencephalogram (MEG) was carried out in eight healthy volunteers during voluntary and imaginary movements as well as during electrical stimulation of the median nerve. In all subjects it was possible to identify desynchronization (suppression) of µ- and β-rhythms during the performance of sensorimotor tasks as well as β-synchronization after the end of movement or stimulation. Using the common projections of the covariance signal matrices of the electric, magnetic, and combined (MEEG) modalities, the most sensitive individual spatial filters were calculated separately for each type of reaction. Relative to the prestimulus control, the amplitude of changes in the amplitude of sensorimotor rhythm components was found to be the largest in the combined MEEG modality. At the same time, for µ-desynchronization, MEG turned out to be significantly worse than MEEG; as for β-desynchronization, MEEG was shown to be significantly better than MEG and EEG. For β-synchronization, a shift in the position of sources in the fronto-medial direction was demonstrated, and there were no significant differences in amplitude between the modalities. It was also shown that, for β-desynchronization, most subjects identified MEG sources with identical EEG projections or without pronounced EEG projections, which indicated the presence of several small tangentially located cortical dipoles involved in β-rhythm desynchronization. The results suggested that the combination of MEG and EEG led to greater sensitivity in studies of modulation of sensorimotor rhythm components, in particular β-desynchronization. The multifocal nature of the magnetic β-rhythm and its different expression in EEG sources indicated the presence of independent regulatory circuits of cortical-thalamic or intracortical origin.
8.
Yashin, Artem S.; Shishkin, Sergei L.; Vasilyev, Anatoly N. (2023). Is there a continuum of agentive awareness across physical and mental actions? The case of quasi-movements. Consciousness and Cognition, 112, 103531. https://doi.org/10.1016/j.concog.2023.103531
Abstract | PDF (preprint) | BibTeX
@article{Yashin2023c,
title = {Is there a continuum of agentive awareness across physical and mental actions? The case of quasi-movements},
author = {Artem S. Yashin and Sergei L. Shishkin and Anatoly N. Vasilyev},
url = {https://osf.io/b6hw4},
doi = {10.1016/j.concog.2023.103531},
issn = {1053-8100},
year = {2023},
date = {2023-05-18},
urldate = {2023-05-18},
journal = {Consciousness and Cognition},
volume = {112},
pages = {103531},
publisher = {Elsevier BV},
abstract = {While humans routinely distinguish between physical and mental actions, overt movements (OM) and kinesthetically imagined movements (IM) are often viewed as forming a continuum of activities. Here, we theoretically conceptualized this continuum hypothesis for agentive awareness related to OM and IM and tested it experimentally using quasi-movements (QM), a little studied type of covert actions, which is considered as an inner part of the OM-IM continuum. QM are performed when a movement attempt is minimized down to full extinction of overt movement and muscle activity. We asked participants to perform OM, IM and QM and collected their electromyography data. According to participants’ reports, they experienced QM as OM in terms of intentions and expected sensory feedback, while the verbal descriptors were independent from muscle activation. These results do not fit the OM-QM-IM continuum and suggest qualitative distinction for agentive awareness between IM and QM/OM.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
While humans routinely distinguish between physical and mental actions, overt movements (OM) and kinesthetically imagined movements (IM) are often viewed as forming a continuum of activities. Here, we theoretically conceptualized this continuum hypothesis for agentive awareness related to OM and IM and tested it experimentally using quasi-movements (QM), a little studied type of covert actions, which is considered as an inner part of the OM-IM continuum. QM are performed when a movement attempt is minimized down to full extinction of overt movement and muscle activity. We asked participants to perform OM, IM and QM and collected their electromyography data. According to participants’ reports, they experienced QM as OM in terms of intentions and expected sensory feedback, while the verbal descriptors were independent from muscle activation. These results do not fit the OM-QM-IM continuum and suggest qualitative distinction for agentive awareness between IM and QM/OM.
7.
Васильев, А. Н.; Крючкова, А. Г.; Маковская, А. Е. (2023). Повышенная чувствительность пространственных фильтров при совмещении магнитного и электрического компонентов сенсомоторного кортикального бета-ритма. Вестник Московского университета. Серия 16. Биология, 78, 2-10. https://doi.org/10.55959/msu0137-0952-16-78-1-1
@article{Vasilyev2023c,
title = {Повышенная чувствительность пространственных фильтров при совмещении магнитного и электрического компонентов сенсомоторного кортикального бета-ритма},
author = {А.Н. Васильев and А.Г. Крючкова and А.Е. Маковская},
url = {https://megmoscow.ru/wp-content/uploads/pubs/10.55959_msu0137-0952-16-78-1-1.pdf},
doi = {10.55959/msu0137-0952-16-78-1-1},
issn = {0137-0952},
year = {2023},
date = {2023-04-30},
urldate = {2023-04-30},
journal = {Вестник Московского университета. Серия 16. Биология},
volume = {78},
issue = {1},
pages = {2-10},
publisher = {Издательский Дом МГУ},
abstract = {Модуляция магнитного или электрического сенсомоторных ритмов человека при представлении движений широко используется в фундаментальных и прикладных нейрофизиологических исследованиях. К настоящему времени имеются доказательства лучшей чувствительности сенсоров магнитного поля к модуляции бета-ритма, однако потенциальный синергический эффект от объединения двух модальностей еще не был исследован. В этом исследовании одновременная регистрация электроэнцефалограммы (ЭЭГ) и магнитоэнцефалограммы (МЭГ) проведена у восьми здоровых испытуемых-добровольцев при выполнении ими произвольных и воображаемых движений, а также при электрической стимуляции медианного нерва. У всех испытуемых удалось идентифицировать десинхронизацию (подавление) мюи бета-ритмов при выполнении сенсомоторных заданий, а также бета-синхронизацию после окончания движения или стимуляции. С использованием общих проекций ковариационных матриц сигналов электрической, магнитной и объединенной («МЭЭГ») модальностей были вычислены наиболее чувствительные индивидуальные пространственные фильтры отдельно для каждого из типов реакций. По сравнению с предстимульным контролем выраженность изменений амплитуды компонентов сенсомоторного ритма оказалась наибольшей в объединенной МЭЭГмодальности. При этом для мю-десинхронизации МЭЭГ оказалась значимо лучше МЭГ, а для бета-десинхронизации МЭЭГ оказалась существенно лучше как МЭГ, так и ЭЭГ. Для бета-синхронизации показано смещение положения источников во фронтомедиальном направлении, а значимых различий в амплитуде между модальностями не было. Также было показано, что для бета-десинхронизации у большинства испытуемых выделялись МЭГ-источники с одинаковыми ЭЭГ-проекциями или без выраженных ЭЭГ-проекций, что свидетельствует о наличии нескольких малых тангенциально расположенных кортикальных диполей, участвующих в десинхронизации бета-ритма. Полученные результаты позволяют полагать, что в исследованиях модуляции компонентов сенсомоторного ритма, в особенности бета-десинхронизации, совмещение МЭГ и ЭЭГ приводит к повышению чувствительности метода. Мультифокальность магнитного бета-ритма и его различная выраженность в ЭЭГ-источниках указывают на наличие независимых регуляторных контуров корковоталамического или внутрикортикального происхождения.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Модуляция магнитного или электрического сенсомоторных ритмов человека при представлении движений широко используется в фундаментальных и прикладных нейрофизиологических исследованиях. К настоящему времени имеются доказательства лучшей чувствительности сенсоров магнитного поля к модуляции бета-ритма, однако потенциальный синергический эффект от объединения двух модальностей еще не был исследован. В этом исследовании одновременная регистрация электроэнцефалограммы (ЭЭГ) и магнитоэнцефалограммы (МЭГ) проведена у восьми здоровых испытуемых-добровольцев при выполнении ими произвольных и воображаемых движений, а также при электрической стимуляции медианного нерва. У всех испытуемых удалось идентифицировать десинхронизацию (подавление) мюи бета-ритмов при выполнении сенсомоторных заданий, а также бета-синхронизацию после окончания движения или стимуляции. С использованием общих проекций ковариационных матриц сигналов электрической, магнитной и объединенной («МЭЭГ») модальностей были вычислены наиболее чувствительные индивидуальные пространственные фильтры отдельно для каждого из типов реакций. По сравнению с предстимульным контролем выраженность изменений амплитуды компонентов сенсомоторного ритма оказалась наибольшей в объединенной МЭЭГмодальности. При этом для мю-десинхронизации МЭЭГ оказалась значимо лучше МЭГ, а для бета-десинхронизации МЭЭГ оказалась существенно лучше как МЭГ, так и ЭЭГ. Для бета-синхронизации показано смещение положения источников во фронтомедиальном направлении, а значимых различий в амплитуде между модальностями не было. Также было показано, что для бета-десинхронизации у большинства испытуемых выделялись МЭГ-источники с одинаковыми ЭЭГ-проекциями или без выраженных ЭЭГ-проекций, что свидетельствует о наличии нескольких малых тангенциально расположенных кортикальных диполей, участвующих в десинхронизации бета-ритма. Полученные результаты позволяют полагать, что в исследованиях модуляции компонентов сенсомоторного ритма, в особенности бета-десинхронизации, совмещение МЭГ и ЭЭГ приводит к повышению чувствительности метода. Мультифокальность магнитного бета-ритма и его различная выраженность в ЭЭГ-источниках указывают на наличие независимых регуляторных контуров корковоталамического или внутрикортикального происхождения.
6.
Ганин, И. П.; Васильев, А. Н.; Глазова, Т. Д.; Каплан, А. Я. (2023). Источники и значимость вариативности потенциалов мозга человека в интерфейсе мозг–компьютер. Вестник РГМУ, 2, 42-49. https://doi.org/10.24075/vrgmu.2023.013
@article{Ганин2023,
title = {Источники и значимость вариативности потенциалов мозга человека в интерфейсе мозг–компьютер},
author = {И.П. Ганин and А.Н. Васильев and Т.Д. Глазова and А.Я. Каплан},
url = {https://megmoscow.ru/wp-content/uploads/pubs/10.24075_vrgmu.2023.013.pdf},
doi = {10.24075/vrgmu.2023.013},
issn = {2070-7339},
year = {2023},
date = {2023-04-28},
urldate = {2023-04-28},
journal = {Вестник РГМУ},
volume = {2},
pages = {42-49},
publisher = {Российский национальный исследовательский медицинский университет имени Н. И. Пирогова},
abstract = {В интерфейсе мозг–компьютер на волне P300 (ИМК-P300) выбор команд пользователя возможен за счет фокусирования им внимания на внешнем стимуле-команде и выделении из ЭЭГ реакции к этому стимулу — в виде компонентов потенциалов, связанных с событиями (ПСС). Для получения сигнала ПСС стимулы необходимо многократно повторять, однако ввиду существующей вариативности латентности реакций на отдельные стимулы усредненные ПСС могут давать искаженное представление о характере таких реакций, а также снижать точность работы интерфейса. Целью работы было разработать эффективный способ выявления эффектов вариативности латентности компонентов ПСС и учета этих эффектов в ИМК-P300, и выявить возможное влияние психофизиологических факторов на характер вариативности ПСС. Для изучения механизмов вариативности мы провели ИМК-исследование на 19 здоровых испытуемых, где использовали выделение и коррекцию латентности в пространственных компонентах N1 и P300, играющих ключевую роль в классификации команд в ИМК-P300. Этот подход обеспечил более высокую точность по сравнению с использованием обычных отведений ЭЭГ, при этом наибольший рост в 10% наблюдался при минимальном числе повторов стимулов. Также модификации интерфейса, позволяющие обеспечить более высокий уровень внимания пользователя к задаче и более четкую фиксацию взгляда на целевых объектах, способствовали повышению амплитуд компонентов ПСС посредством снижения вариативности реакций на единичные стимулы. Полученные результаты подчеркивают важную роль процессов вариативности компонентов ПСС и дают эффективный инструмент для их научного изучения, а также для разработки перспективных систем ИМК.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
В интерфейсе мозг–компьютер на волне P300 (ИМК-P300) выбор команд пользователя возможен за счет фокусирования им внимания на внешнем стимуле-команде и выделении из ЭЭГ реакции к этому стимулу — в виде компонентов потенциалов, связанных с событиями (ПСС). Для получения сигнала ПСС стимулы необходимо многократно повторять, однако ввиду существующей вариативности латентности реакций на отдельные стимулы усредненные ПСС могут давать искаженное представление о характере таких реакций, а также снижать точность работы интерфейса. Целью работы было разработать эффективный способ выявления эффектов вариативности латентности компонентов ПСС и учета этих эффектов в ИМК-P300, и выявить возможное влияние психофизиологических факторов на характер вариативности ПСС. Для изучения механизмов вариативности мы провели ИМК-исследование на 19 здоровых испытуемых, где использовали выделение и коррекцию латентности в пространственных компонентах N1 и P300, играющих ключевую роль в классификации команд в ИМК-P300. Этот подход обеспечил более высокую точность по сравнению с использованием обычных отведений ЭЭГ, при этом наибольший рост в 10% наблюдался при минимальном числе повторов стимулов. Также модификации интерфейса, позволяющие обеспечить более высокий уровень внимания пользователя к задаче и более четкую фиксацию взгляда на целевых объектах, способствовали повышению амплитуд компонентов ПСС посредством снижения вариативности реакций на единичные стимулы. Полученные результаты подчеркивают важную роль процессов вариативности компонентов ПСС и дают эффективный инструмент для их научного изучения, а также для разработки перспективных систем ИМК.
5.
Ganin, I. P.; Vasilyev, A. N.; Glazova, T. D.; Kaplan, A. Y. (2023). Sources and impact of human brain potential variability in the brain-computer interface. Bulletin of RSMU, 2, 40-47. https://doi.org/10.24075/brsmu.2023.013
@article{Ganin2023,
title = {Sources and impact of human brain potential variability in the brain-computer interface},
author = {Ganin, I.P. and Vasilyev, A.N. and Glazova, T.D. and Kaplan, A.Y. },
url = {https://megmoscow.ru/wp-content/uploads/pubs/10.24075_brsmu.2023.013.pdf},
doi = {10.24075/brsmu.2023.013},
issn = {2542-1204},
year = {2023},
date = {2023-04-28},
urldate = {2023-04-28},
journal = {Bulletin of RSMU},
volume = {2},
pages = {40-47},
publisher = {Pirogov Russian National Research Medical University},
abstract = {In the brain-computer interface based on the P300 wave (P300 BCI), the selection of the command by the user becomes possible due to focusing the user's attention on the external stimulus/command and extraction of the response to this stimulus in the form of the event-related potential (ERP) components from EEG. To obtain the ERP signal, stimuli should be repeated many times, however, in view of the existing variability in latency of the response to certain stimuli, the averaged ERPs may give a distorted view of the nature of such responses and reduce accuracy of the interface. The study was aimed to develop an effective method for identification of the effects of the ERP components' latency variability and for accounting these effects in the P300 BCI, as well as to identify the possible impact of psychophysiological factors on the nature of ERP variability. We have conducted a BCI-based study of 19 healthy subjects involving extraction and adjustment of latency in the N1 and P300 spatial components, which play a key role in the command classification in the P300 BCI, to explore the mechanisms underlying variability. Such an approach ensured higher accuracy compared to the use of conventional EEG leads, and the highest increase of 10% was observed when using the minimum number of the stimulus repetitions. Furthermore, modifications of the interface allowing one to ensure a higher level of the user's focus on the task and a more accurate visual fixation on the target objects contributed to the increase in the amplitude of the ERP components by reducing variability of the responses to single stimuli. The findings emphasize the important role of the processes underlying the ERP components' variability and provide an effective tool for scientific exploration of such processes and the development of advanced BCI systems.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In the brain-computer interface based on the P300 wave (P300 BCI), the selection of the command by the user becomes possible due to focusing the user's attention on the external stimulus/command and extraction of the response to this stimulus in the form of the event-related potential (ERP) components from EEG. To obtain the ERP signal, stimuli should be repeated many times, however, in view of the existing variability in latency of the response to certain stimuli, the averaged ERPs may give a distorted view of the nature of such responses and reduce accuracy of the interface. The study was aimed to develop an effective method for identification of the effects of the ERP components' latency variability and for accounting these effects in the P300 BCI, as well as to identify the possible impact of psychophysiological factors on the nature of ERP variability. We have conducted a BCI-based study of 19 healthy subjects involving extraction and adjustment of latency in the N1 and P300 spatial components, which play a key role in the command classification in the P300 BCI, to explore the mechanisms underlying variability. Such an approach ensured higher accuracy compared to the use of conventional EEG leads, and the highest increase of 10% was observed when using the minimum number of the stimulus repetitions. Furthermore, modifications of the interface allowing one to ensure a higher level of the user's focus on the task and a more accurate visual fixation on the target objects contributed to the increase in the amplitude of the ERP components by reducing variability of the responses to single stimuli. The findings emphasize the important role of the processes underlying the ERP components' variability and provide an effective tool for scientific exploration of such processes and the development of advanced BCI systems.
4.
Vasilyev, Anatoly N.; Yashin, Artem S.; Shishkin, Sergei L. (2023). Quasi-Movements and “Quasi-Quasi-Movements”: Does Residual Muscle Activation Matter? Life, 13(2), 303. https://doi.org/10.3390/life13020303
@article{Vasilyev2023d,
title = {Quasi-Movements and “Quasi-Quasi-Movements”: Does Residual Muscle Activation Matter?},
author = {Anatoly N. Vasilyev and Artem S. Yashin and Sergei L. Shishkin},
url = {https://megmoscow.ru/wp-content/uploads/pubs/10.3390_life13020303.pdf},
doi = {10.3390/life13020303},
issn = {2075-1729},
year = {2023},
date = {2023-02-00},
urldate = {2023-02-00},
journal = {Life},
volume = {13},
number = {2},
pages = {303},
publisher = {MDPI AG},
abstract = {Quasi-movements (QM) are observed when an individual minimizes a movement to an extent that no related muscle activation is detected. Likewise to imaginary movements (IM) and overt movements, QMs are accompanied by the event-related desynchronization (ERD) of EEG sensorimotor rhythms. Stronger ERD was observed under QMs compared to IMs in some studies. However, the difference could be caused by the remaining muscle activation in QMs that could escape detection. Here, we re-examined the relation between the electromyography (EMG) signal and ERD in QM using sensitive data analysis procedures. More trials with signs of muscle activation were observed in QMs compared with a visual task and IMs. However, the rate of such trials was not correlated with subjective estimates of actual movement. Contralateral ERD did not depend on the EMG but still was stronger in QMs compared with IMs. These results suggest that brain mechanisms are common for QMs in the strict sense and “quasi-quasi-movements” (attempts to perform the same task accompanied by detectable EMG elevation) but differ between them and IMs. QMs could be helpful in research aimed at better understanding motor action and at modeling the use of attempted movements in the brain-computer interfaces with healthy participants.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Quasi-movements (QM) are observed when an individual minimizes a movement to an extent that no related muscle activation is detected. Likewise to imaginary movements (IM) and overt movements, QMs are accompanied by the event-related desynchronization (ERD) of EEG sensorimotor rhythms. Stronger ERD was observed under QMs compared to IMs in some studies. However, the difference could be caused by the remaining muscle activation in QMs that could escape detection. Here, we re-examined the relation between the electromyography (EMG) signal and ERD in QM using sensitive data analysis procedures. More trials with signs of muscle activation were observed in QMs compared with a visual task and IMs. However, the rate of such trials was not correlated with subjective estimates of actual movement. Contralateral ERD did not depend on the EMG but still was stronger in QMs compared with IMs. These results suggest that brain mechanisms are common for QMs in the strict sense and “quasi-quasi-movements” (attempts to perform the same task accompanied by detectable EMG elevation) but differ between them and IMs. QMs could be helpful in research aimed at better understanding motor action and at modeling the use of attempted movements in the brain-computer interfaces with healthy participants.
2021
3.
Vasilyev, Anatoly N.; Nuzhdin, Yury O.; Kaplan, Alexander Y. (2021). Does Real-Time Feedback Affect Sensorimotor EEG Patterns in Routine Motor Imagery Practice? Brain Sciences, 11(9), 1234. https://doi.org/10.3390/brainsci11091234
@article{Vasilyev2021,
title = {Does Real-Time Feedback Affect Sensorimotor EEG Patterns in Routine Motor Imagery Practice?},
author = {Anatoly N. Vasilyev and Yury O. Nuzhdin and Alexander Y. Kaplan},
url = {https://megmoscow.ru/wp-content/uploads/pubs/10.3390_brainsci11091234.pdf},
doi = {10.3390/brainsci11091234},
issn = {2076-3425},
year = {2021},
date = {2021-09-18},
urldate = {2021-09-18},
journal = {Brain Sciences},
volume = {11},
number = {9},
pages = {1234},
publisher = {MDPI AG},
abstract = {Background. Motor imagery engages much of the same neural circuits as an overt movement. Therefore, the mental rehearsal of movements is often used to supplement physical training and might aid motor neurorehabilitation after stroke. One attempt to capture the brain’s involvement in imagery involves the use, as a marker, of the depression or event-related desynchronization (ERD) of thalamocortical sensorimotor rhythms found in a human electroencephalogram (EEG). Using fast real-time processing, it is possible to make the subject aware of their own brain reactions or—even better—to turn them into actions through a technology called the brain–computer interface (BCI). However, it remains unclear whether BCI-enabled imagery facilitates a stronger or qualitatively different brain response compared to the open-loop training. Methods. Seven healthy volunteers who were experienced in both closed and open-loop motor imagery took part in six experimental sessions over a period of 4.5 months, in which they performed kinesthetic imagery of a previously known set of finger and arm movements with simultaneous 30-channel EEG acquisition. The first and the last session mostly consisted of feedback trials in which the subjects were presented with the classification results of the EEG patterns in real time; during the other sessions, no feedback was provided. Spatiotemporal and amplitude features of the ERD patterns concomitant with imagery were compared across experimental days and between feedback conditions using linear mixed-effects modeling. Results. The main spatial sources of ERD appeared to be highly stable across the six experimental days, remaining nearly identical in five of seven subjects (Pearson’s ρ > 0.94). Only in one subject did the spatial pattern of activation statistically significantly differ (p = 0.009) between the feedback and no-feedback conditions. Real-time visual feedback delivered through the BCI did not significantly increase the ERD strength. Conclusion. The results imply that the potential benefits of MI could be yielded by well-habituated subjects with a simplified open-loop setup, e.g., through at-home self-practice.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Background. Motor imagery engages much of the same neural circuits as an overt movement. Therefore, the mental rehearsal of movements is often used to supplement physical training and might aid motor neurorehabilitation after stroke. One attempt to capture the brain’s involvement in imagery involves the use, as a marker, of the depression or event-related desynchronization (ERD) of thalamocortical sensorimotor rhythms found in a human electroencephalogram (EEG). Using fast real-time processing, it is possible to make the subject aware of their own brain reactions or—even better—to turn them into actions through a technology called the brain–computer interface (BCI). However, it remains unclear whether BCI-enabled imagery facilitates a stronger or qualitatively different brain response compared to the open-loop training. Methods. Seven healthy volunteers who were experienced in both closed and open-loop motor imagery took part in six experimental sessions over a period of 4.5 months, in which they performed kinesthetic imagery of a previously known set of finger and arm movements with simultaneous 30-channel EEG acquisition. The first and the last session mostly consisted of feedback trials in which the subjects were presented with the classification results of the EEG patterns in real time; during the other sessions, no feedback was provided. Spatiotemporal and amplitude features of the ERD patterns concomitant with imagery were compared across experimental days and between feedback conditions using linear mixed-effects modeling. Results. The main spatial sources of ERD appeared to be highly stable across the six experimental days, remaining nearly identical in five of seven subjects (Pearson’s ρ > 0.94). Only in one subject did the spatial pattern of activation statistically significantly differ (p = 0.009) between the feedback and no-feedback conditions. Real-time visual feedback delivered through the BCI did not significantly increase the ERD strength. Conclusion. The results imply that the potential benefits of MI could be yielded by well-habituated subjects with a simplified open-loop setup, e.g., through at-home self-practice.
2.
Zhao, Darisy G; Vasilyev, Anatoly N; Kozyrskiy, Bogdan L; Melnichuk, Eugeny V; Isachenko, Andrey V; Velichkovsky, Boris M; Shishkin, Sergei L (2021). A passive BCI for monitoring the intentionality of the gaze-based moving object selection. Journal of Neural Engineering, 18(2). https://doi.org/10.1088/1741-2552/abda09
@article{Zhao2021,
title = {A passive BCI for monitoring the intentionality of the gaze-based moving object selection},
author = {Darisy G Zhao and Anatoly N Vasilyev and Bogdan L Kozyrskiy and Eugeny V Melnichuk and Andrey V Isachenko and Boris M Velichkovsky and Sergei L Shishkin},
url = {https://megmoscow.ru/wp-content/uploads/pubs/10.1088_1741-2552_abda09.pdf},
doi = {10.1088/1741-2552/abda09},
issn = {1741-2552},
year = {2021},
date = {2021-03-04},
urldate = {2021-03-04},
journal = {Journal of Neural Engineering},
volume = {18},
number = {2},
publisher = {IOP Publishing},
abstract = {Objective. The use of an electroencephalogram (EEG) anticipation-related component, the expectancy wave (E-wave), in brain–machine interaction was proposed more than 50 years ago. This possibility was not explored for decades, but recently it was shown that voluntary attempts to select items using eye fixations, but not spontaneous eye fixations, are accompanied by the E-wave. Thus, the use of the E-wave detection was proposed for the enhancement of gaze interaction technology, which has a strong need for a mean to decide if a gaze behavior is voluntary or not. Here, we attempted at estimating whether this approach can be used in the context of moving object selection through smooth pursuit eye movements. Approach. Eighteen participants selected, one by one, items which moved on a computer screen, by gazing at them. In separate runs, the participants performed tasks not related to voluntary selection but also provoking smooth pursuit. A low-cost consumer-grade eye tracker was used for item selection. Main results. A component resembling the E-wave was found in the averaged EEG segments time-locked to voluntary selection events of every participant. Linear discriminant analysis with shrinkage regularization classified the intentional and spontaneous smooth pursuit eye movements, using single-trial 300 ms long EEG segments, significantly above chance in eight participants. When the classifier output was averaged over ten subsequent data segments, median group ROC AUC of 0.75 was achieved. Significance. The results suggest the possible usefulness of the E-wave detection in the gaze-based selection of moving items, e.g. in video games. This technique might be more effective when trial data can be averaged, thus it could be considered for use in passive interfaces, for example, in estimating the degree of the user's involvement during gaze-based interaction.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Objective. The use of an electroencephalogram (EEG) anticipation-related component, the expectancy wave (E-wave), in brain–machine interaction was proposed more than 50 years ago. This possibility was not explored for decades, but recently it was shown that voluntary attempts to select items using eye fixations, but not spontaneous eye fixations, are accompanied by the E-wave. Thus, the use of the E-wave detection was proposed for the enhancement of gaze interaction technology, which has a strong need for a mean to decide if a gaze behavior is voluntary or not. Here, we attempted at estimating whether this approach can be used in the context of moving object selection through smooth pursuit eye movements. Approach. Eighteen participants selected, one by one, items which moved on a computer screen, by gazing at them. In separate runs, the participants performed tasks not related to voluntary selection but also provoking smooth pursuit. A low-cost consumer-grade eye tracker was used for item selection. Main results. A component resembling the E-wave was found in the averaged EEG segments time-locked to voluntary selection events of every participant. Linear discriminant analysis with shrinkage regularization classified the intentional and spontaneous smooth pursuit eye movements, using single-trial 300 ms long EEG segments, significantly above chance in eight participants. When the classifier output was averaged over ten subsequent data segments, median group ROC AUC of 0.75 was achieved. Significance. The results suggest the possible usefulness of the E-wave detection in the gaze-based selection of moving items, e.g. in video games. This technique might be more effective when trial data can be averaged, thus it could be considered for use in passive interfaces, for example, in estimating the degree of the user's involvement during gaze-based interaction.
1.
Ovchinnikova, Anastasia O.; Vasilyev, Anatoly N.; Zubarev, Ivan P.; Kozyrskiy, Bogdan L.; Shishkin, Sergei L. (2021). MEG-Based Detection of Voluntary Eye Fixations Used to Control a Computer. Frontiers in Neuroscience, 15, 619591. https://doi.org/10.3389/fnins.2021.619591
@article{Ovchinnikova2021,
title = {MEG-Based Detection of Voluntary Eye Fixations Used to Control a Computer},
author = {Anastasia O. Ovchinnikova and Anatoly N. Vasilyev and Ivan P. Zubarev and Bogdan L. Kozyrskiy and Sergei L. Shishkin},
url = {https://megmoscow.ru/wp-content/uploads/pubs/10.3389_fnins.2021.619591.pdf},
doi = {10.3389/fnins.2021.619591},
issn = {1662-453X},
year = {2021},
date = {2021-02-05},
urldate = {2021-02-05},
journal = {Frontiers in Neuroscience},
volume = {15},
pages = {619591},
publisher = {Frontiers Media SA},
abstract = {Gaze-based input is an efficient way of hand-free human-computer interaction. However, it suffers from the inability of gaze-based interfaces to discriminate voluntary and spontaneous gaze behaviors, which are overtly similar. Here, we demonstrate that voluntary eye fixations can be discriminated from spontaneous ones using short segments of magnetoencephalography (MEG) data measured immediately after the fixation onset. Recently proposed convolutional neural networks (CNNs), linear finite impulse response filters CNN (LF-CNN) and vector autoregressive CNN (VAR-CNN), were applied for binary classification of the MEG signals related to spontaneous and voluntary eye fixations collected in healthy participants (n = 25) who performed a game-like task by fixating on targets voluntarily for 500 ms or longer. Voluntary fixations were identified as those followed by a fixation in a special confirmatory area. Spontaneous vs. voluntary fixation-related single-trial 700 ms MEG segments were non-randomly classified in the majority of participants, with the group average cross-validated ROC AUC of 0.66 ± 0.07 for LF-CNN and 0.67 ± 0.07 for VAR-CNN (M ± SD). When the time interval, from which the MEG data were taken, was extended beyond the onset of the visual feedback, the group average classification performance increased up to 0.91. Analysis of spatial patterns contributing to classification did not reveal signs of significant eye movement impact on the classification results. We conclude that the classification of MEG signals has a certain potential to support gaze-based interfaces by avoiding false responses to spontaneous eye fixations on a single-trial basis. Current results for intention detection prior to gaze-based interface’s feedback, however, are not sufficient for online single-trial eye fixation classification using MEG data alone, and further work is needed to find out if it could be used in practical applications.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Gaze-based input is an efficient way of hand-free human-computer interaction. However, it suffers from the inability of gaze-based interfaces to discriminate voluntary and spontaneous gaze behaviors, which are overtly similar. Here, we demonstrate that voluntary eye fixations can be discriminated from spontaneous ones using short segments of magnetoencephalography (MEG) data measured immediately after the fixation onset. Recently proposed convolutional neural networks (CNNs), linear finite impulse response filters CNN (LF-CNN) and vector autoregressive CNN (VAR-CNN), were applied for binary classification of the MEG signals related to spontaneous and voluntary eye fixations collected in healthy participants (n = 25) who performed a game-like task by fixating on targets voluntarily for 500 ms or longer. Voluntary fixations were identified as those followed by a fixation in a special confirmatory area. Spontaneous vs. voluntary fixation-related single-trial 700 ms MEG segments were non-randomly classified in the majority of participants, with the group average cross-validated ROC AUC of 0.66 ± 0.07 for LF-CNN and 0.67 ± 0.07 for VAR-CNN (M ± SD). When the time interval, from which the MEG data were taken, was extended beyond the onset of the visual feedback, the group average classification performance increased up to 0.91. Analysis of spatial patterns contributing to classification did not reveal signs of significant eye movement impact on the classification results. We conclude that the classification of MEG signals has a certain potential to support gaze-based interfaces by avoiding false responses to spontaneous eye fixations on a single-trial basis. Current results for intention detection prior to gaze-based interface’s feedback, however, are not sufficient for online single-trial eye fixation classification using MEG data alone, and further work is needed to find out if it could be used in practical applications.