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Frequency specific impairment of automatic pitch change detection by fMRI acoustic noise: An MEG study
Journal of Neuroscience Methods. 2006. Vol. 155. P. 149–159.
Nikolai Novitski, Maess B., Tervaniemi M.
The loud acoustic noise produced by the magnetic resonance scanner is a major source of interference in auditory fMRI research. Whole-head magnetoencephalography (MEG) was used to investigate the interaction between the frequency range of auditory stimulation and fMRI acoustic noise. Pure tones and 3-harmonic complexes varying between 240 and 1240 Hz in frequency were presented while participants attended to a silent subtitled film. Continuous fMRI acoustic noise was presented during half of the blocks. The activity in six regions of interest was analyzed in 100–200 and 200–300 ms time windows to evaluate the magnetic counterparts of the mismatch negativity (MMN) and P3a brain responses. The results suggested that fMRI noise significantly reduced the amplitude of these responses. The effect of the noise on the automatic processing of the tones was more prominent for the tones with frequencies higher than 500 Hz. It is recommended that in the MMN protocols using continuous fMRI acquisition the sound stimuli should be spectrally separated from the fMRI scanner noise spectrum.
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English
Мухамедкаримова Д. Ф., Умуркулова М. М., Galyapina V. N. et al., Bulletin of the Karaganda University Pedagogy series. Казахстан 2026 Т. 31 № 3 С. 69–77
Currently, artificial intelligence occupies a solid place among traditional pedagogical technologies and approaches, which is the subject of widespread discussion among domestic and foreign scientists and researchers. This is because the introduction of AI into higher education, despite its high potential, faces a wide range of economic, social, and ethical obstacles. These include resistance to ...
Added: October 6, 2026
Сизикова Т. Э., Леонов С. В., Polikanova I., Национальный психологический журнал 2026 Т. 21 № 4 С. 79–89
Background.
The relevance of this study is driven by the rapid increase in anxiety disorders in modern society. According to WHO data from 2021, 359 million people worldwide suffered from anxiety disorders. In psychological practice, there is a growing number of techniques being applied, including those aimed at reducing anxiety, but their effectiveness is not always scientifically proven. Thus, ...
Added: October 6, 2026
Grishutina M. M., Kostenko V., Lebedeva A., Вопросы психологии 2025 Т. 71 № 4 С. 127–135
В русскоязычной психологической литературе конструкт «агентность» встречается редко и обычно отождествляется с понятием «субъектность». В англоязычном дискурсе при рассмотрении агентности изучают два аспекта: ее ощущение и оценку. Дифференциальный опросник переживания агентности (Sense of Agency Scale) А. Тапал и коллег – ДОПА – направлен на измерение общего ощущаемого контроля над собственными произвольными действиями. Целью текущего исследования ...
Added: October 5, 2026
Ивашкевич Б. И., Dvoinin A., Kostenko V. et al., Психологический журнал 2026 Т. 47 № 3 С. 113–126
Целью исследования стала адаптация Опросника репрезентаций Бога (The Questionnaire of God Representations-17, QGR-17) на урссксязычный выборке. Опросник направлен на количественную оценку ментальных представлений и эмоциональных установок в отношении Бога. Общая выборка исследования включила 222 респондента в возрасте от 18 до 54 лет (M = 25.4, SD = 7.71), из которых 72.5% составили женщины, 43% идентифицировали ...
Added: October 5, 2026
Lyu M., Omopekunola M., Wang F., / Series 2026.aimecon-wip.55 "Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con)". 2026.
Large language models (LLMs) have been proposed as a substitute for field trials in itemdifficulty estimation, but evidence about where they succeed is usually drawn from a single test form. We compare LLM difficulty predictions across three task types that make different language demands, grammar cloze, semantic cloze and reading comprehension, on two operational Grade ...
Added: October 5, 2026
Martín-Luengo B., Zinchenko O., Dolgoarshinnaia A., Human Brain Mapping 2026 Vol. 47 No. 11 P. 1–11
Being able to remember the origin of a particular memory is for times even more important than the memory itself. Yet, although memory for the information and memory for the source are intrinsically connected, the particular neural underpinnings for the source‐memory monitoring remains unclear. We run an fMRI meta‐analysis to help to clarify the brain ...
Added: October 5, 2026
Antonova N., Федулова Е. В., Психологические исследования 2026 Т 19 No. 107 2026 Т. том 19 № № 107 С. 1–14
The aim of this article is to analyze the theoretical and methodological foundations of cognitive-behavioral coaching and to identify prospects for its further development and research. The article examines the historical prerequisites for the emergence of cognitive-behavioral coaching as a helping practice. The distinctions between cognitive-behavioral coaching (CBC) and cognitive-behavioral therapy (CBT) are analyzed. The ...
Added: October 4, 2026
Nikiforova K., Kulikova S., Platonova T. et al., Journal of Modern Foreign Psychology 2026 Vol. 15 No. 3 P. 98–113
The increasing prevalence of technology in daily life has led to a rising demand for IT specialists. In response, educational curricula have been adapted to incorporate coding lessons as early as primary school. However, the cognitive processes underlying computational thinking (CT) — the ability to apply a systematic problem-solving approach akin to computer logic — ...
Added: October 4, 2026
Monahhova E., Gorodnicheva Y., Morozova A. et al., Psychology. Journal of the Higher School of Economics 2026 Vol. 23 No. 3 P. 512–527
The rapid proliferation of misinformation in digital environments poses a serious threat to public health, political institutions, and public discourse. Behavioral research has accumulated substantial evidence on why people believe and share false information, yet individual studies address cognitive biases, social factors, or emotional processes largely in isolation. Additionally, the influential integrative frameworks that do ...
Added: October 3, 2026
Polarization of opinions in the group: a modeling algorithm considering the dynamics of social bonds
Chebotarev V., Andreyuk D., Elizarova Anastasiya et al., Procedia Computer Science 2022 Vol. 213 No. C P. 596–601
The dynamics of opinion in a group are of interest for a number of practical purposes. In particular, consensus helps and polarization of opinions hinders cohesive teamwork. Existing approaches for modeling opinion dynamics mostly do not take into account the dynamism of social relations in a group. This paper proposes an algorithm and a program ...
Added: October 2, 2026
Ragimova A., Imanaeva M., Nieto Doval C. M. et al., Frontiers in Human Neuroscience 2026 Vol. 20 P. 1–15
Background: Motor resonance reflects the activation of the motor system during the observation of others’ actions and is considered a physiological marker of the human mirror neuron system (MNS). This study investigated whether the excitatory and inhibitory balance in the primary motor cortex, driven by glutamatergic and GABAergic mechanisms, is linked to the strength of ...
Added: October 2, 2026
Aly Ismailov, Poptsova M., Plos One 2026 Vol. 21 No. 9 Article e0355902
Added: October 2, 2026
Nisskaya A., Беляевская Е. С., Современная зарубежная психология 2026 Т. 3 № 15 С. 89–97
Context. The preschool period is a critical stage for the development of prosocial behavior. Children begin to understand the feelings of others, and the foundations of empathy and mutual assistance are formed. Situation-specific expressions of care can develop into more stable forms when children are embedded in a system of social relationships. However, the specific characteristics ...
Added: October 2, 2026
Pavlova A., Тихомирова Т. Н., Исматуллина В. et al., Вестник Санкт-Петербургского университета. Психология 2025 Т. 15 № 4 С. 610–632
Представлены результаты анализа психометрических свойств русскоязычной версии Шкалы личностной тревожности (STAI-T) на масштабной выборке студентов вузов Российской Федерации. Личностная тревожность отражает предрасположенность к чрезмерному проявлению тревоги в отношении широкого круга событий, восприятие их как потенциально опасных, что приводит к трудностям адаптационного характера, в том числе на этапе перехода в систему высшего образования. Уровень проявления тревожности ...
Added: October 2, 2026
Lubashevsky I., Lubashevskiy V., Physica D: Nonlinear Phenomena 2026 Vol. 498 Article 135441
We develop a novel cloud-function formalism describing the dynamical relationship between sensory-information processing in large-scale brain networks (supraliminal processing) and the content of the mental representation of an observed object. The formalism combines elements of neural field theory for large-scale neural activity with the spatial characteristics of perceived objects and their embedding in the environment ...
Added: October 2, 2026
Kotov A. A., Матушкина В., Котова Т. Н., Современная зарубежная психология 2026 Т. 15 № 2 С. 111–119
Контекст и актуальность. В обзоре рассматривается эффект выученного невнимания (трудности в обраще-нии внимания на информацию, которая ранее была нерелевантной) на примере категориального науче-ния. Цель теоретического обзора: сформулировать основные этапы изучения данного эффекта, обозначитьключевые работы, объясняющие факторы, влияющие на данный эффект (фактор задачи и семантическойнагруженности). Результаты. Приводятся доказательства того, что эффект рассматривается в настоящеевремя в разных ...
Added: October 1, 2026
Kotov A. A., Зайцева Е. С., Новые психологические исследования 2026 № 3 С. 35–54
Эффект категориальной различимости выражается во влиянии окружения целевого объекта при его запоминании: эффективность запоминания целевого объекта выше в условии его окружения объектами из той же суперординатной категории, к которой он относится, чем объектами из другой суперординатной категории.
Целью исследования было изучение эффекта категориальной различимости в условиях различной загрузки рабочей памяти – вербальной и визуальной.
Категориальная репрезентация играет ...
Added: October 1, 2026
Латыпов А. Ф., Психология и право 2026 Т. 16(3) № 3 С. 259–272
Abstract Context and relevance. The simultaneous presence of three to five age cohorts within a single organizational space makes intergenerational tension in contemporary organizations increasingly systemic, raising the need for a theoretical understanding of the nature and mechanisms of intergenerational conflicts. Objective. The article aims to provide a theoretical analysis of the phenomenon of intergenerational ...
Added: September 30, 2026
Dvoinin A., Развитие личности 2025 № Спецвыпуск С. 17–20
The article outlines A.M. Dvoinin’s personal reminiscences of his teacher, the prominent psychologist Valeria Sergeevna Mukhina ...
Added: September 30, 2026
Mariya Protopova, Bolgina T., Arutiunian V. et al., European Journal of Neuroscience 2025 Vol. 62 No. 8 Article e70282
For noninvasive language mapping, the choice of imaging method, task, and baseline remains an area of active research. While the sentence completion task is a recommended option for fMRI studies, the indirect nature of the signal is a limitation of the imaging method. This study presents a sentence completion paradigm for group- and individual-level language ...
Added: November 10, 2025
А.Е. Осадчий, А.Е. Кубяк, Нейротехнологии и нейроэлектроника (N&N) 2025 № 2 С. 4–31
Added: September 10, 2025
Tretyakova V., Pavlova A., Arapov V. et al., Plos One 2025 Vol. 20 No. 7 Article e0325977
Action word learning is believed to rely on mechanisms of Hebbian learning. However, this biological mechanism requires activation of the neural assemblies representing a word form and a corresponding movement to repeatedly overlap in time. In reality, though, these associated events could be separated by seconds. In the current MEG study, we examined trial-and-error learning ...
Added: July 4, 2025
Saranskaia I., Boris Gutkin, Zakharov D., European Physical Journal: Special Topics 2025 Vol. 234 P. 4159–4177
This review explores the interplay between data representation and machine learning (ML) methods in classifying functional, cognitive, and pathological brain states using magnetoencephalography (MEG). Two primary data representations are considered: sensor-level signals and reconstructed source signals. Sensor signals, when combined with classical ML methods such as linear discriminant analysis (LDA) and support vector machines (SVM), offer computational efficiency and simplified preprocessing, ...
Added: March 15, 2025
Vlasenko D., Zaikin A., Zakharov D., , in: 2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA).: IEEE, 2024. P. 258–261.
The goal of this work is to propose a method for representing functional magnetic resonance imaging data and electroencephalography/magnetoencephalography data in the form of graphs reflecting the interactions of brain regions for brain state classification tasks. This method is based on ensemble learning to improve generalizability, accuracy, robustness and parallelism of the classification model, which ...
Added: December 7, 2024