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Motor-Imagery BCI with Low-Count of Optically Pumped Magnetometers
P. 16–18.
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
Паникратова Я. Р., Пчелинцева М. Е., Егорова М. В. et al., Психиатрия, психотерапия и клиническая психология 2025 Т. 16 № 4 С. 528–543
Working memory (WM) may largely determine human cognitive capabilities and, consequently, daily functioning and performance in leading activity for diverse ages. Therefore, WM training seems to be relevant for both healthy individuals and patients with neurological or mental conditions of a broad age range. The kinds of WM training described in the literature are highly ...
Added: March 15, 2026
Решетникова В. В., Боброва Е. В., Гришин А. А. et al., Журнал высшей нервной деятельности им. И.П. Павлова 2025 Т. 75 № 3 С. 313–326
Neurorehabilitation of motor functions using a neurointerface (BCI) with feedback is a modern promising area of research. However, there is very little data on muscle activity during the motor imagery of lower limb – an important aspect of rehabilitation. The EMG activity of the lower limb muscles was studied in 42 healthy participants which control ...
Added: March 11, 2026
Zhozhikashvili N., Olga V. Sysoeva, Makarova E. et al., Frontiers in Human Neuroscience 2026 Vol. 20 Article 1759177
This manuscript fits the scope of Frontiers in Human Neuroscience (Speech and Language) as it investigates the cortical dynamics of speech perception using MEG during naturalistic auditory comprehension. The study examines how semantic dissimilarity and word class modulate MEG event-related fields (ERFs), reflecting aspects of semantic integration and syntactic processing during continuous speech. The results ...
Added: March 4, 2026
Zabolotniy A., Chan R. W., Moiseeva V. et al., Frontiers in Neuroscience 2025 Vol. 19 Article 1623380
We demonstrated the feasibility of finger movement decoding with a tailored Convolutional Neural Network. The performance of our approach was comparable to complex deep learning architectures, while providing faster and interpretable outcome. This algorithmic strategy holds high potential for the investigation of the mechanisms underlying non-invasive neurophysiological recordings in cognitive neuroscience. ...
Added: October 2, 2025
Razorenova A., Butorina I. A., Ossadtchi A. et al., IEEE Transactions on Instrumentation and Measurement 2025 Vol. 74 P. 1–13
The trend toward sensor miniaturization has heightened interest in optimizing sensor array configurations across various scientific and industrial applications that imply multichannel measurements. In this article, we present a novel method for sensor array layout optimization for the needs of the modern real-life magnetoencephalographic (MEG) applications. Starting from a superset of potential locations, we form ...
Added: September 5, 2025
Fedosov N., Medvedeva D., Shevtsov O. et al., Journal of Neural Engineering 2025 No. 22 Article 046031
Objective. Recent advances in biomagnetic sensing have led to the development of compact, wearable devices capable of detecting weak magnetic fields generated by biological activity. Optically pumped magnetometers (OPMs) have shown significant promise in functional neuroimaging. Brain rhythms play a crucial role in diagnostics, cognitive research, and neurointerfaces. Here we demonstrate that a small number of ...
Added: September 5, 2025
Fedosov N., Medvedeva D., Shevtsov O. et al., IEEE Transactions on Instrumentation and Measurement 2025 No. 74 P. 1–11
This article addresses several critical aspects of using optically pumped magnetometers (OPMs), focusing on both metrological issues and the enhancement of signal quality. We present a quantitative methodology for OPM measurements standardization and quality evaluation, which is crucial in biomedical applications like magnetoencephalography (MEG). Additionally, we introduce a novel, cost-effective portable active magnetic shielding system—digital ...
Added: September 4, 2025
Neklyudova A., Gurgen Soghoyan, Olga Martynova et al., Language, Cognition and Neuroscience 2025 Vol. 40 No. 7 P. 889–897
Research has shown that semantic analysis occurs at early stages of word processing (less than 200 ms). While traditional studies have focused on isolated words/sentences, our research explores rapid semantic processing during reading stories when texts were presented word by word (each word lasting 150 ms), enhancing rapid semantic processing. We sorted words by quartiles according to ...
Added: July 7, 2025
Pechenkova E., Королькова О. А., Паникратова Я. Р. et al., Экспериментальная психология 2025 Т. 18 № 1 С. 181–199
Context and relevance. To date, the study of brain correlates of working memory (WM) is associated with
a number of theoretical as well as methodological difficulties. Firstly, substantially variable tasks are used
to assess WM. Secondly, each neuroimaging method has its own characteristics and limitations. Objective.
The aim of this paper was to systematize the tasks used to ...
Added: April 16, 2025
Ulanov M., Kopytin G., Bermúdez-Margaretto B. et al., Neuropsychologia 2024 Vol. 195 Article 108800
The neural underpinnings of processing concrete and abstract semantics remain poorly understood. Previous
fMRI studies have shown that multimodal and amodal neural networks respond differentially to different semantic
types; importantly, abstract semantics activates more left-lateralized networks, as opposed to more
bilateral activity for concrete words. Due to the lack of temporal resolution, these fMRI results do not allow ...
Added: February 16, 2024
Razorenova A., Pavlova A., Nikolaeva A. Y. et al., International Journal of Psychophysiology 2023 Vol. 188 P. 77–78
We examined MEG β-power during two days of pseudoword-movement associative learning. We discovered learning-induced β-ERS in sensorimotor, frontal and posterior temporo-parietal regions. The β-ERS in the associative cortices did not change after sleep but the one in the posterior regions continued to rise during repetitive training on the second day. ...
Added: November 22, 2023
Razorenova A., Pavlova A., Nikolaeva A. et al., , in: International Organization of Psychophysiology (IOP) - Editorial: Proceedings of IOP2023 - The 21st World Congress of PsychophysiologyVol. 188: Supplement.: Elsevier, 2023. P. 77–78.
We examined MEG β-power during two days of pseudoword-movement associative learning. We discovered learning-induced β-ERS in sensorimotor, frontal and posterior temporo-parietal regions. The β-ERS in the associative cortices did not change after sleep but the one in the posterior regions continued to rise during repetitive training on the second day. ...
Added: October 27, 2023
Aksiotis V., Alexei Ossadtchi, , in: 2022 Fourth International Conference Neurotechnologies and Neurointerfaces (CNN) Kaliningrad, 14-16 Sept. 2022.: IEEE, 2022. P. 6–9.
In the present study, a fast and adaptive technique for the presentation of stimuli based on ongoing brain rhythm is described. Sensorimotor cortical mu rhythm (divided by two components: alpha (mu) and beta) was used as target for assessment of prestimulus rhythm’s power influence on the consequent reaction time. The final sample consisted of 15 ...
Added: December 16, 2022
Makarova A., Volkova K., Ossadtchi A. et al., , in: 2022 Fourth International Conference Neurotechnologies and Neurointerfaces (CNN) Kaliningrad, 14-16 Sept. 2022.: IEEE, 2022. P. 86–89.
Brain-computer interfaces (BCIs) based on electrocorticographic (ECoG) activity has become relatively popular due to sensitivity of ECoG to specific details of actual and imagined actions. It has been shown that significant differences in the brain activity while performing hand movements in different directions can be found in relation to cosine tuning theory. This research seeks ...
Added: December 16, 2022
Makarova A., Volkova K., Lebedev M. et al., , in: 2021 Third International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2021. P. 64–66.
This study aims to identify correlations between the directions of the hand movements and the brain signals recorded from the brain surface using electrocorticography (ECoG). We suppose that the coding of the hand movement direction occurs in the motor cortex and could be detected with ECoG. Using representational similarity analysis (RSA) and the cosine tuning ...
Added: December 9, 2022