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Towards magnetoencephalography based on ultrasensitive laser pumped non-zero field magnetic sensor
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The principal possibility of creating optically pumped compact magnetic sensor for MEG operating in a wide magnetic field range is experimentally proved.
Keywords: Magnetoencephalography (MEG)
In book
NY, Red Hook: IEEE, 2018.
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
Ivanova M., Germanova K., Petelin D. et al., / Series 005140 "Biorxiv". 2024.
Bipolar disorder (BD) involves altered reward processing and decision-making, with inconsistencies across studies. Here, we integrated hierarchical Bayesian modelling with magnetoencephalography (MEG) to characterise maladaptive belief updating in this condition. First, we determined if previously reported increased learning rates in BD stem from a heightened expectation of environmental changes. Additionally, we examined if this increased ...
Added: November 30, 2024
Samoylov I., Arcara G., Buyanova I. et al., International Journal of Psychophysiology 2024 Vol. 203 Article 112405
Objective: Some studies have hypothesized that atypical neural synchronization at the delta frequency band in the auditory cortex is associated with phonological and language skills in children with Autism Spectrum Disorder (ASD), but it is still poorly understood. This study investigated this neural activity and addressed the relationships between auditory response and behavioral measures of ...
Added: August 9, 2024
Arutiunian V., Arcara G., Irina B. et al., Brain Sciences 2023 Vol. 13 No. 9 Article 1313
Alpha-band (8–12 Hz) event-related desynchronization (ERD) or a decrease in alpha power in electro- and magnetoencephalography (EEG and MEG) reflects the involvement of a neural tissue in information processing. It is known that most children with autism spectrum disorder (ASD) have difficulties in information processing, and, thus, investigation of alpha oscillations is of particular interest ...
Added: November 7, 2023
Marina Ivanova, Herrojo-Ruiz M. D., , in: 2022 Fourth International Conference Neurotechnologies and Neurointerfaces (CNN) Kaliningrad, 14-16 Sept. 2022.: IEEE, 2022. Ch. 19 P. 55–58.
Predictive processing currently is one of the major lines of research in computational psychiatry. There is substantial evidence for the impaired Bayesian learning in affective disorders, and in particular impaired learning about uncertainty estimations. Based on our previous results in state and trait anxiety, we developed a study design, completed a pilot study and are ...
Added: February 10, 2023
Manyukhina Viktoriya, Prokofyev A., Galuta I. et al., Molecular Autism 2022 Vol. 13 No. 1 Article 20
Background: Altered neuronal excitation–inhibition (E–I) balance is strongly implicated in ASD. However, it is not
known whether the direction and degree of changes in the E–I ratio in individuals with ASD correlates with intellectual disability often associated with this developmental disorder. The spectral slope of the aperiodic 1/f activity reflects
the E–I balance at the scale of ...
Added: May 31, 2022
Viktoriya O. Manyukhina, Rostovtseva E., Prokofyev A. et al., Scientific Reports 2021 Vol. 11 No. 1 P. 1–10
Gamma oscillations are driven by local cortical excitatory (E)–inhibitory (I) loops and may help to
characterize neural processing involving excitatory-inhibitory interactions. In the visual cortex
reliable gamma oscillations can be recorded with magnetoencephalography (MEG) in the majority
of individuals, which makes visual gamma an attractive candidate for biomarkers of brain disorders
associated with E/I imbalance. Little is known, however, ...
Added: May 31, 2022
Retrospective confidence judgements in general-knowledge questions: Magnetoencephalograhy correlates
Martín-Luengo B., Altukhov D., Alexeeva M. et al., / Series 10.31234 "osf.io". 2021.
Added: May 30, 2022
Golosheykin S., Blagoveschenskiy Evgueni D., Agranovich O. et al., Frontiers in Pediatrics 2021 Vol. 9 Article 626734
Arthrogryposis multiplex congenita (AMC) has recently drawn substantial attention from researchers and clinicians. New effective surgical and physiotherapeutic methods have been developed to improve the quality of life of patients with AMC. While it is clear that all these interventions should strongly rely on the plastic reorganization of the central nervous system, almost no studies ...
Added: October 31, 2021
Azanova M., Herrojo-Ruiz M. D., Belianin A. V. et al., Frontiers in Neuroscience 2021 Vol. 15 Article 608699
Females demonstrate greater risk aversion than males on a variety of tasks, but
the underlying neurobiological basis is still unclear. We studied how theta (4–7 Hz)
oscillations at rest related to three different measures of risk taking. Thirty-five
participants (15 females) completed the Bomb Risk Elicitation Task (BRET), which
allowed us to measure risk taking during an economic game. ...
Added: July 27, 2021
Manyukhina Viktoriya, Rostovtseva E., Kostina E. et al., , in: Когнитивная наука в Москве: новые исследования. Материалы конференции 19 июня 2019 г.: М.: Буки Веди, 2019. Ch. 4 P. 35–41.
A balance between neural excitation and inhibition (E-I balance) is pivotal for normal cognitive functioning and is disturbed in neuropsychiatric disorders. Gamma oscillations
(30–120 Hz) induced in the visual cortex by moving gratings arise through an interaction of
excitatory and inhibitory neurons and are sensitive to the E-I balance. It has been suggested
that suppression of the gamma ...
Added: December 11, 2020
Orekhova E., Ekaterina R., Manyukhina Viktoriya et al., Neuroimage 2020 Vol. 213 P. 1–12
Spatial suppression (SS) is a visual perceptual phenomenon that is manifest in a reduction of directional sensitivity for drifting high-contrast gratings whose size exceeds the center of the visual field. Gratings moving at faster
velocities induce stronger SS. The neural processes that give rise to such size- and velocity-dependent reductions
in directional sensitivity are currently unknown, and ...
Added: December 11, 2020
Shtyrov Y., Cope T., MacGregor L. et al., Cortex 2020 Vol. 126 P. 107–118
n the healthy human brain, the processing of language is strongly lateralised, usually to the left hemisphere, while the processing of complex non-linguistic sounds recruits brain regions bilaterally. Here we asked whether the anterior temporal lobes, strongly implicated in semantic processing, are critical to this special treatment of spoken words. Nine patients with semantic dementia ...
Added: December 9, 2020
Meunier D., Pascarella A., Altukhov D. et al., Neuroimage 2020 Vol. 219 No. october P. 1–13
Recent years have witnessed a massive push towards reproducible research in neuroscience. Unfortunately, this endeavor is often challenged by the large diversity of tools used, project-specific custom code and the difficulty to track all user-defined parameters. NeuroPycon is an open-source multi-modal brain data analysis toolkit which provides Python-based template pipelines for advanced multi-processing of MEG, ...
Added: November 12, 2020