?
Sleep-related thalamocortical spindles and delta oscillations are reduced during a ketamine-induced psychosis-relevant transition state
Cold Spring Harbor Laboratory
,
2019.
Schizophrenia is a chronic debilitating disease. Sleep disturbances associated with a reduction in spindles are observed as warning signs prior to the first psychotic episode. Every spindle is a short-lasting (~0.5 s) set of bioelectric sinusoidal waves at the frequency of 10-16 Hz generated within the thalamus. Sleep spindles, easily identifiable in a scalp electroencephalogram, occur hundreds of times during sleep and are implicated in cognition like memory processes. For this reason, spindles are seen as an electrobiomarker of the quality of sleep and cognitive performance. In patients at high risk of psychotic transition, the density (number/time unit) of spindles is reduced. The underlying mechanisms of this change are unknown. Glutamate-mediated neurotransmission in the thalamus plays a key role in the generation of spindles and the etiology of schizophrenia. Therefore, we tested the hypothesis that a reduced function of glutamate receptors at the thalamic level is involved in the psychosis-related reduction in spindles. Using cell-to-network neurophysiological methods in sleeping rats, we demonstrate that systemic administration of the NMDA glutamate receptor antagonist, ketamine, significantly decreases spindle density. This effect is consistently prevented by the widely used antipsychotic drug, clozapine. These original findings support the hypothesis of the involvement of a reduced function of NMDA glutamate receptors in the sleep spindle deficit observed in psychosis-related disorders. The present findings lay the foundation for the development of innovative therapies aimed at preventing psychotic, bipolar, and depressive disorders.
Mahdavi A., Qin Y., Aubry A. -. et al., Schizophrenia Research 2020 Vol. 222 P. 362-374
Background
In patients with psychotic disorders, sleep spindles are reduced, supporting the hypothesis that the thalamus and glutamate receptors play a crucial etio-pathophysiological role, whose underlying mechanisms remain unknown. We hypothesized that a reduced function of NMDA receptors is involved in the spindle deficit observed in schizophrenia.
Methods
An electrophysiological multisite cell-to-network exploration was used to investigate, in ...
Added: June 7, 2020
Volkova K., Dagaev N., Киселёв А. С. et al., Журнал высшей нервной деятельности им. И.П. Павлова 2017 Т. 67 № 4 С. 504-520
Brain-computer interfaces find application in a number of different areas and have the potential to be used for research as well as for practical purposes. The clinical use of BCI includes current studies on neurorehabilitation ([Frolov et al., 2013; Ang et al., 2010]), and there is the prospect of using BCI to restore movement and ...
Added: October 19, 2017
Malovichko M., Yavich N., Razorenova A. et al., / Cornell University Library. Series math.RT "arXiv:1808.06395 [math.RT]". 2022.
This paper introduces a novel numerical method for the inverse problem of electroencephalography(EEG). We pose the inverse EEG problem as an optimal control (OC) problem for Poisson’s equation. The optimality conditions lead to a variational system of differential equations. It is discretized directly in finite-element spaces leading to a system of linear equations with a ...
Added: October 31, 2022
Galatenko V. V., Livshitz E., Chernorizov A. et al., Psychology in Russia: State of the Art 2013 Vol. 6 No. 3 P. 41-48
Automated classification of a human functional state is an important problem, with applications including stress resistance evaluation, supervision over operators of critical infrastructure, teaching and phobia therapy. Such classification is particularly efficient in systems for teaching and phobia therapy that include a virtual reality module, and provide the capability for dynamic adjustment of task complexity. ...
Added: October 29, 2015
Veretennikova M., Sikorskii A., Boivin M., RUDN, 2017
In this research we compare the performance of different data mining techniques in the analysis of electroencephalogram (EEG) data. We study the question od predicting post-comatose neuro-developmental scores based mainly on statistical features of the EEG recordings. We compare results from applying different data mining techniques, such as the Elastic Net, Lasso, Gaussian Support Vector ...
Added: October 31, 2019
Malovichko M., Koshev N., Yavich N. et al., IEEE Transactions on Biomedical Engineering 2021 Vol. 68 No. 6 P. 1811-1819
Objective: This paper develops a novel approach for fast and reliable reconstruction of EEG sources in MRI-based head models. Methods: The inverse EEG problem is reduced to the Cauchy problem for an elliptic partial-derivative equation. The problem is transformed into a regularized minimax problem, which is directly approximated in a finite-element space. The resulting numerical method is efficient and easy ...
Added: November 10, 2020
Koshkin R., Shtyrov Y., Myachykov A. et al., Plos One 2018 Vol. 10 No. 13 P. 1-18
We utilized the event-related potential (ERP) technique to study neural activity associated with different levels of working memory (WM) load during simultaneous interpretation (SI) of continuous prose. The amplitude of N1 and P1 components elicited by task-irrelevant tone probes was significantly modulated as a function of WM load but not the direction of interpretation. Furthermore, ...
Added: November 1, 2018
Yurchenko A., Lopukhina A., Dragoy O., Frontiers in Psychology 2020 Vol. 11 P. 2113
The goal of the present study was to investigate the interaction between different senses of polysemous nouns (metonymies and metaphors) and different meanings of homonyms using the method of event-related potentials (ERPs) and a priming paradigm. Participants read two-word phrases containing ambiguous words and made a sensicality judgment. Phrases with polysemes highlighted their literal sense ...
Added: September 2, 2020
Nikolaevskiy N., Пилипчук С. Ф., Спасский Я. Б., Логистика и управление цепями поставок 2017 № 3 С. 21-30
The development of the domestic economy from the beginning of the 21st century is characterized by the growth of energy resources export volumes, including coal. That circumstance determined the increased demand for the design, research and modernization of export bulk cargo terminals. Growth of customers requirements and outdated standards, regulations and specifications define the need ...
Added: October 6, 2018
Dagaev N., Volkova K., Ossadtchi A., Journal of Neural Engineering 2018 Vol. 15 No. 1 P. 1-14
Objective. Brain-computer interface (BCI) systems are known to be vulnerable to variabilities in background states of a user. Usually, no detailed information on these states is available even during the training stage. Thus there is a need in a method which is capable of taking background states into account in an unsupervised way. Approach. We ...
Added: October 19, 2017
Lukoyanov M. V., Крылов В. Н., Вестник Нижегородского университета им. Н.И. Лобачевского 2012 № 5 С. 135-139
Исследован уровень когерентности ЭЭГ при пассивном просмотре белого экрана и линий с различным углом наклона у правшей и левшей. Особенностью группы правшей явились преимущественно локальные внутриполушарные изменения когерентности, в то время как у левшей эти изменения были межполушарными. ...
Added: March 1, 2013
Mikhaylets E., Alexandra M. Razorenova, Vsevolod Chernyshev et al., Frontiers in Neuroinformatics 2024 Vol. 17 Article 1301718
The study presents a novel approach designed to detect time-continuous states in time-series data, called the State-Detecting Algorithm (SDA). The SDA operates on unlabeled data and detects optimal change-points between intrinsic functional states in time-series data based on an ensemble of Ward's hierarchical clustering with time-connectivity constraint. The algorithm chooses the best number of states ...
Added: February 19, 2024
Cortical and autonomic responses during staged Taoist meditation: two distinct meditation strategies
Volodina M., Smetanin N., Lebedev M. et al., Plos One 2021 Vol. 16 No. 12 Article e0260626
Meditation is a consciousness state associated with specific physiological and neural correlates. Numerous investigations of these correlates reported controversial results which prevented a consistent depiction of the underlying neurophysiological processes. Here we investigated the dynamics of multiple neurophysiological indicators during a staged meditation session. We measured the physiological changes at rest and during the guided ...
Added: November 18, 2021
Nikolaevskiy N., Grigorev M., Логистика и управление цепями поставок 2018 № 5 С. 29-37
The results of the information technologies intensive development and implementation processes, recently defined as digitalization, were the basis of the significant changes in the domestic economy. At the same time, it is important to understand that digitalization process require an appropriate response in order to create an environment, which promote to development of strategically valuable ...
Added: November 30, 2018
Khvostov V., Lukashevich A., Utochkin I. S., Scientific Reports 2021 No. 11 P. 1-8
Added: January 26, 2021
Украинцева Ю. В., Журина Ю. Д., Lazarev I. E. et al., Авиакосмическая и экологическая медицина 2024 Т. 58 № 1 С. 55-61
Changes in EEG were investigated in two ground-based hypogravity simulation experiments: 21-d dry immersion (DI) and 21-d bed rest (BR). Ten volunteers participated in DI, and 6 volunteers in BD. EEG was recorded before and on days 5 and 17 of DI and BR. EEG spectral power was analyzed using the fast Fourier transform. EEG ...
Added: March 4, 2024
Kosonogov V., Ntoumanis I., Hajiyeva G. et al., Genes and Cells 2023 No. 4 P. 618-621
Added: February 29, 2024
Садовничий В. А., Akaev A., Korotayev A. et al., М. : Издательская группа URSS, 2017
В коллективной монографии представлены результаты исследований, проведенных в рамках проекта РНФ №14-11-00634 «Математические методы прогнозирования мирового и странового социально-экономического развития». Целью проекта является разработка методологии, математических методов и моделей для анализа и прогнозирования современных макротенденций и циклов экономической, демографической, политической, социальной, культурной и технологической мировой, региональной и национальной динамики в интересах научного обеспечения стратегического планирования в Российской Федерации.
Первая ...
Added: October 23, 2018
Oksana Zinchenko, Alexey Gorin, Anush Revazyan et al., Neuroscience Letters 2023 Vol. 808 Article 137276
Human societies benefit from social norms that increase cooperation and support social order. Hence, the understanding of effective mechanisms enforcing norms is crucial. One of such mechanisms is “third-party punishment” (TPP) – a form of social punishment that could be delivered by a third-party, not directly affected by the actions of the norm violator. Previous ...
Added: July 3, 2023
Butovskaya M., Annals of Human Genetics 2018 Vol. 82 No. 6 P. 407-414
The key regulator in the control of aggressive behavior is dopamine receptors. Association of variants in these genes with aggression has been shown in modern populations. However, these studies have not been conducted in traditional cultures. The aim of our study was to investigate population features in distributions of allele and genotype frequencies of DRD2 rs1800497, DRD4 120 bp Ins, ...
Added: September 20, 2018
Уральский государственный педагогический университет, 2019
Конференция призвана распространить методы и средства имитационного моделирования для решения научных и практических задач, активизировать творческую деятельность и укрепить научно-производственный потенциал Российской Федерации ...
Added: March 9, 2021
Schaworonkow N., Blythe D., Kegeles J. et al., Human Brain Mapping 2015 Vol. 36 No. 8 P. 2901-2914
Relating behavioral and neuroimaging measures is essential to understanding human brain function. Often, this is achieved by computing a correlation between behavioral measures, e.g., reaction times, and neurophysiological recordings, e.g., prestimulus EEG alpha-power, on a single-trial-basis. This approach treats individual trials as independent measurements and ignores the fact that data are acquired in a temporal order. It has ...
Added: May 13, 2015
Volkova K., Dagaev N., Киселев А. С. et al., Журнал высшей нервной деятельности им. И.П. Павлова 2017 Т. 67 № 4 С. 504-520
Нейрокомпьютерные интерфейсы, или, как их принято называть в отечественной литературе, интерфейсы мозг-компьютер (ИМК), находят применение в ряде областей и имеют потенциал использования для решения как исследовательских, так и практических задач. В настоящее время ведутся пилотные исследования клинического применения ИМК в постинсультной нейрореабилитации [Frolov et al., 2013; Ang et al., 2010], кроме того, существует перспектива использования ...
Added: June 26, 2018
Pokhoday M., Bermúdez-Margaretto B., Shtyrov Y. et al., , in : Language Electrified. : Springer Publishing Company, 2021.
Rapid technological advancements have led to a significant progress in research methods for cognitive sciences. Today scientists can easily use various neurophysiological methods in order to study human behavior and its underlying brain mechanisms and cognitive processes. Among such methods is eye-tracking — a technique allowing recording and analysis of the online oculomotor behavior. Since ...
Added: October 1, 2020