?
Интерфейс мозг-компьютер: опыт построения, использования и возможные пути повышения рабочих характеристик.
Журнал высшей нервной деятельности им. И.П. Павлова. 2017. Т. 67. № 4. С. 504–520.
Pavlova A., Малых С. Б., Адамович Т. В., Frontiers in Human Neuroscience 2026 No. 20 Article 1843779
This study aimed to investigate resting-state neural correlates of math anxiety in high school students using a graph-theoretical approach. Sixty 10th-grade students (35 females; mean age = 16.15 years) participated in the study. Resting-state EEG data were acquired using a 32-channel wireless dry-sensor system (Cognionics Quick-32 series). Math anxiety was assessed using the Abbreviated Math Anxiety Scale. Mean ...
Added: September 3, 2026
Vlasenko D., Saranskaia I., Zakharov D., European Physical Journal: Special Topics 2026 P. 1–16
Hypergraphs provide a natural framework for representing neurophysiological interactions distributed across sets of sensors. A key methodological question is how hyperedges should be defined from frequency-resolved electroencephalography/magnetoencephalography (EEG/MEG) data. We demonstrate a construction strategy in which hyperedges are obtained from canonical coherence (caCOH), an extension of coherence that estimates coupling between multidimensional signal spaces. To ...
Added: August 18, 2026
Badarin A., Ratnikov F., Andreev A., European Physical Journal: Special Topics 2026 P. 1–10
EEG recordings are often affected by the loss or corruption of individual channels due to electrode detachment, poor scalp contact, or external interference. Such channels must be accurately reconstructed before further analysis. In this study, we investigate Next-Generation Reservoir Computing (NG-RC) as a data-driven approach for reconstructing corrupted EEG channels and compare its performance with ...
Added: August 12, 2026
A. Radygina, S. Kulikova, Herald of the Russian Academy of Sciences 2025 Vol. 95 No. 6 P. 963–970
Musical training has a significant impact on brain organization, leading to functional and structural
adaptations that enhance auditory, visual, motor, and cognitive processes. This study investigates how
extensive musical training shapes functional brain connectivity by comparing professional musicians and
non-musicians. Using EEG phase-locking value (PLV) analysis, we examined neural synchronization across
alpha, beta, and gamma frequency ranges during music ...
Added: August 5, 2026
Mikhaylets E. V., Razorenova A. М., Chernyshev V. L. et al., Scientific Reports 2026 Vol. 16 Article 23560
Meditation offers a naturalistic paradigm for studying introspection, yet the neural dynamics of advanced tantric practices remain largely unexplored. Buddhist Highest Yoga Tantra (BHYT) comprises a sequence of eight dissolution stages culminating in the “clear light” state. We recorded EEG during eyes-closed BHYT meditation performed in monasteries and hermitages (51 sessions from 36 male practitioners; ...
Added: July 29, 2026
Chinn L., Momotenko D., Сукманова А. А. et al., Cortex 2023 Vol. 161 P. 93–115
Individuals raised in institutionalized care settings are more likely to demonstrate developmental deficits than those raised in biological families. One domain that is vulnerable to the impoverished environments characteristic of some institutionalized care facilities is language development. We used EEG to assess ERPs and source-localized event-related spectral perturbations (ERSPs) associated with semantic processing at different levels of picture-word conflict and low ...
Added: June 29, 2026
Alenina E., Kristina Terenteva, Kosonogov V., Frontiers in Neuroscience 2026 Vol. 20 Article 1837154
Anxiety, characterized by pervasive feelings of nervousness and worry, may differentially impact cognitive problem-solving across various domains, including spatial and social contexts. This study investigates the relationship between distinct types of anxiety and cognitive performance, aiming to elucidate the underlying neural mechanisms involved. Sixty participants (54 females, Mage = 22.46, SD = 4.50; 6 males, ...
Added: June 19, 2026
Kashevnik A., Glekler E., Artemenko E. et al., Scientific data 2026 Vol. 13 Article 850
We present a multimodal dataset containing electroencephalography (EEG), electrocardiography (ECG), and video recordings from 49 participants. Each participant completed a single session lasting approximately 45 minutes. During each session they performed five tasks: resting state, inward concentration (focusing on the center of the forehead), outward concentration (visual search), and mind-wandering. EEG data were recorded from ...
Added: April 23, 2026
Momotenko D., Цепелевич М., Ткаченко И. et al., Психология. Психофизиология 2025 Т. 18 № 2 С. 34–46
Introduction. Video games constitute a special form of digital media characterized by dynamic environments that respond to players’ actions and integrated algorithms. Within psychological research, video games offer better validity compared to traditional automated assessment systems, enabling a naturalistic investigation of various phenomena. Furthermore, video games shape mental processes. These features are widely exploited in international psychological research and are critical ...
Added: April 17, 2026
Kochetkova E., Machinskaya R., Human Physiology 2025 Vol. 51 No. 6 P. 580–590
Growing evidence suggests the specific systems for emotional information maintenance and processing in working memory, highlighting the role of cognitive domains in emotional awareness. The question of neural basis of social-emotional processing in working memory remains open. We hypothesized that the neural systems supporting working memory for emotional processing may rely on shared ‘core’ networks ...
Added: April 15, 2026
Исаев М. Р., Bobrov P., Журнал высшей нервной деятельности им. И.П. Павлова 2022 Т. 72 № 5 С. 728–738
The paper proposes methods for brain–computer interface, based on the hemodynamic activity registration using near–infrared spectroscopy (NIRS) and adapted for using in the movement disorders rehabilitation. Methods include a filtration adapted to the instructions frequency, step by step classification of the rest state and active tasks, as well as training of the interface classifier on ...
Added: March 18, 2026
Люкманов Р. Х., Исаев М. Р., Mokienko O. et al., Анналы клинической и экспериментальной неврологии 2023 Т. 17 № 4 С. 82–88
Introduction. Non-invasive brain–computer interfaces (BCIs) enable feedback motor imagery [MI] training in neurological patients to support their motor rehabilitation. Nowadays, the use of BCIs based on functional near-infrared spectroscopy (fNIRS) for motor rehabilitation is yet to be investigated. Objective: To evaluate the potential fNIRS BCI use in hand MI training for comprehensive post-stroke rehabilitation. Materials ...
Added: March 18, 2026
Лабор В. В., Mokienko O., Черкасова А. Н. et al., Журнал неврологии и психиатрии им. С.С. Корсакова 2025 Т. 125 № 11 С. 27–35
В статье представлен обзор исследований, посвященных применению тренировок представления движения и интерфейсов мозг-компьютер (ИМК) для когнитивной реабилитации пациентов с неврологическими заболеваниями. На основе анализа исследований, опубликованных с 2004 по 2025 г., проведена оценка эффективности данных методов в восстановлении когнитивных функций у пациентов с инсультом (13 исследований), болезнью Паркинсона (4) и рассеянным склерозом (2). Большинство исследований демонстрирует положительное влияние тренировок представления движения на когнитивные функции пациентов с неврологическими заболеваниями и когнитивным дефицитом средней ...
Added: March 18, 2026
Курганская М. Е., Исаев М. Р., Bobrov P., Журнал высшей нервной деятельности им. И.П. Павлова 2024 Т. 74 № 2 С. 210–222
The work investigates spatial and temporal EEG patterns during real and imagined execution of hand reaching. Six independent sources of electrical activity were identified in the EEG recordings. The sources corresponded to the premotor areas, supplementary motor area, primary motor areas, and posterior parietal cortex. Their activation patterns in the alpha and beta range were ...
Added: March 11, 2026
Mitiureva D., Pavel Bobrov, Rebreikina A. et al., International Journal of Psychophysiology 2023 Vol. 190 P. 42–55
Studying mu-rhythm in developmental disorders is crucial for identifying the origin of motor and social malfunctioning. However, the commonly used mu-rhythm experimental protocol, that requires following instructions, is challenging for children with motor and cognitive deficits. Here we present an inclusive experimental procedure that contains passive hand movement, closed and open eyes and hand movement ...
Added: March 11, 2026
Mokienko O., Chervyakov A., Kulikova S. et al., Frontiers in Computational Neuroscience 2013 No. 7 Article 168
Background: Motor imagery (MI) is the mental performance of movement without muscle activity. It is generally accepted that MI and motor performance have similar physiological mechanisms.
Purpose: To investigate the activity and excitability of cortical motor areas during MI in subjects who were previously trained with an MI-based brain-computer interface (BCI).
Subjects and Methods: Eleven healthy volunteers ...
Added: March 9, 2026