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Interaction of gaze direction and facial expressions processing: ERP study
NeuroReport. 2004. Vol. 15. No. 4. P. 621–625.
Klucharev V., Sams M.
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
Vigoda-Gadot E., Levitats Z., Styrin E. M., Asia Pacific Journal of Public Administration 2026 P. 1–23
Governance is rapidly digitising, yet how citizens’ emotions towards algorithmic policy decision-making relate to their trust in governance institutions remains understudied. Drawing on the affect-as-information model, we argue that emotions constitute a distinct input into institutional trust judgements, operating both directly and by conditioning the weight of cognitive evaluations. We test this argument with a ...
Added: August 7, 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
Vorchik A., / SSRN. Серия Social Science Research Network "Social Science Research Network". 2026.
This work is devoted to a theoretical explanation of the Easterlin paradox, according to which long-term economic growth does not make average level of people's happiness increasing. By happiness, we mean the intensity of emotions people experience while comparing their new income with its expected value, or the target income with its original value. In the first case, ...
Added: May 31, 2026
Dvoynikova A., Karpov A., , in: Компьютерная лингвистика и интеллектуальные технологииВып. 22.: М.: Изд-во РГГУ, 2023. P. 51–61.
This article describes solutions to several problems: CMU-MOSEI database preprocessing to improve data quality and bimodal multitask classification of emotions and sentiment. With the help of experimental studies, representative features for acoustic and linguistic information are identified among pretrained neural networks with Transformer architecture. The most representative features for the analysis of emotions and sentiments ...
Added: April 25, 2026
Dvoynikova A., Маркитантов М. В., Рюмина Е. В. et al., Информатика и автоматизация (Труды СПИИРАН) 2022 Т. 21 № 6 С. 1097–1144
Аннотация. В статье представлен аналитический обзор исследований в области аффективных вычислений. Это направление является составляющей искусственного интеллекта, и изучает методы, алгоритмы и системы для анализа аффективных состояний человека при его взаимодействии с другими людьми, компьютерными системами или роботами. В области интеллектуального анализа данных под аффектом подразумевается проявление психологических реакций на возбуждаемое событие, которое может протекать ...
Added: April 25, 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
Vissoky G., Vigoda-Gadot E., Styrin E. M., Public Administration Review 2026 P. 1–11
We propose an interdisciplinary theoretical framework that integrates insights from political science, public administration, organizational theory, economics, psychology, sociology, and cognitive science to better understand the role of emotions in governance in the digital age. We argue that citizens' sentiments and emotional responses are central to their relationships with government institutions and bureaucracies. Building on bounded ...
Added: April 16, 2026
Kochetkova E., Мачинская Р. И., Журнал высшей нервной деятельности им. И.П. Павлова 2025 Т. 75 № 2 С. 170–188
The review provides an analysis of modern cognitive psychological theories of emotions and neural basis
of mechanisms standing behind retention of emotional information in working memory. The tendency seen
in modern neurocognitive theories is characterized by the rejection of localization for any psychological
functions in favor of network models, where higher-order processes are supported by distributed neural
networks connecting ...
Added: April 15, 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
Vorchik A., / Social Science Research Network. Серия SSRN Working Paper Series "SSRN Working Paper Series". 2026.
This article is devoted to the phenomenon of intrinsic motivation, to understand which two models are proposed. We study how positive/negative intrinsic motivation to work (experienced utility) affects worker's individual labour supply (model I) and the amount of effort they exert (model II). In model I, we use intrinsic motivation to explain the positive/negative slope ...
Added: March 15, 2026