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Dive into the research topics where A. M. Ivanitsky is active.

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Featured researches published by A. M. Ivanitsky.


Neuroscience Letters | 2001

Correlation of brain rhythms between frontal and left temporal (Wernicke's) cortical areas during verbal thinking.

Andrey R. Nikolaev; G. A. Ivanitsky; A. M. Ivanitsky; Michael I. Posner; Yalchin G. Abdullaev

The aim of this study was to investigate an interaction between frontal and left temporo-parietal cortices in tasks requiring word association. A new method was used to examine averaged event-related potentials in different frequency bands by calculating correlation coefficients between wavelet curves in distant cortical areas. This method was applied to previous event-related potentials recordings which found successive activation of frontal and left posterior areas [1]. Correlated activity at 17 Hz was observed between frontal and left temporal (Wernickes) areas prior to full activation of Wernickes area.


International Journal of Psychophysiology | 2009

Aggression and 5HTT polymorphism in females: study of synchronized swimming and control groups.

Olga V. Sysoeva; N. V. Maluchenko; Marina A. Timofeeva; G. V. Portnova; Maria A. Kulikova; Alexandr G. Tonevitsky; A. M. Ivanitsky

Aggression is a heterogeneous heritable psychological trait, also influenced by environmental factors. Previous studies, mostly conducted on male population, have found some associations of the aggression with the polymorphisms of genes, regulating the activity of serotonin (5-HT) in the brain. However, psychological as well as biochemical manifestations of the aggression are different in males and females. Our study aimed to investigate the association of 5-HTT gene polymorphism with different facets of aggression (BDHI) in females. Two groups: the synchronized swimming and non-athlete control, - were examined to study the possible modulation effect of sport on the association between 5-HTT gene polymorphism and aggression. It was found that in both groups the low-active 5-HTT polymorphism (SS) was associated with increased scores on Indirect Hostility scale and decreased scores on Negativism scale, compared to LL genotype. No interaction effect between sport and 5-HTT polymorphism was found. The higher percentage of LL-carriers and lower of LS-carriers in the synchronized swimming group compared to the control one was observed. This may be the sign of the importance of LL polymorphism of 5-HTT gene, previously associated with higher resistance to stress factors, for being an athlete, although this result has to be taken cautiously keeping in mind the stratification problem. Synchronized swimmers had lower scores on Assault, Negativism, Irritability and Verbal Hostility compared to age-matched control girls (in general and for each 5-HTT genotype separately), suggesting that they may have more matured emotional system (older control group has also lower scores on these scales).


International Journal of Psychophysiology | 2001

Cortical connectivity during word association search

A. M. Ivanitsky; Andrey R. Nikolaev; G. A. Ivanitsky

Cortical connectivity was studied in tasks of generating the use of words in comparison with reading aloud the same words. These tasks were used earlier in PET and high density ERP recordings studies (Posner and Raichle, 1997; Abdullaev and Posner, 1998), in which both the functional anatomy and the time course of cortical areas involved in word processing were described. The wavelet transforms of ERP records and the calculation of correlations between wavelet curves were used to reveal connections between cortical areas. Three stages of intracortical communications while task performance were found. These were: (1) the connections between right and left frontal and central areas which preceded stimulus delivery and persisted up to 180 ms after it; (2) the network connecting right and left frontal with left posterior temporal-parietal junction at 280-450 ms; and (3) communications between left and right temporal zones in 550-800 ms. The data are in good agreement with results of previous PET and ERP studies and supply the earlier findings with circuitry of cortical information transfer.


Bulletin of Experimental Biology and Medicine | 2008

Effect of functional catechol-O-methyltransferase Val158Met polymorphism on physical aggression

M. A. Kulikova; N. V. Maluchenko; M. A. Timofeeva; V. A. Shlepzova; J. V. Schegolkova; Olga V. Sysoeva; A. M. Ivanitsky; Alexander G. Tonevitsky

Genetic and psychological analysis of the relationships between catechol-O-methyltransferase Val158Met polymorphism and various types of aggressiveness was performed in 114 women. Dispersion analysis revealed significant association of ValVal genotype with elevated physical aggression.


International Journal of Psychophysiology | 2009

Brain science: On the way to solving the problem of consciousness

A. M. Ivanitsky; G. A. Ivanitsky; Olga V. Sysoeva

Four issues are discussed: the possible mechanism of subjective events, conscious versus unconscious brain functions, the rhythmic coding of mental operations and the possible brain basis of understanding.


Frontiers in Human Neuroscience | 2018

Correlation of BOLD Signal with Linear and Nonlinear Patterns of EEG in Resting State EEG-Informed fMRI

G. V. Portnova; Alina Tetereva; Vladislav Balaev; Mikhail Atanov; Lyudmila I. Skiteva; Vadim Ushakov; A. M. Ivanitsky; Olga Martynova

Concurrent EEG and fMRI acquisitions in resting state showed a correlation between EEG power in various bands and spontaneous BOLD fluctuations. However, there is a lack of data on how changes in the complexity of brain dynamics derived from EEG reflect variations in the BOLD signal. The purpose of our study was to correlate both spectral patterns, as linear features of EEG rhythms, and nonlinear EEG dynamic complexity with neuronal activity obtained by fMRI. We examined the relationships between EEG patterns and brain activation obtained by simultaneous EEG-fMRI during the resting state condition in 25 healthy right-handed adult volunteers. Using EEG-derived regressors, we demonstrated a substantial correlation of BOLD signal changes with linear and nonlinear features of EEG. We found the most significant positive correlation of fMRI signal with delta spectral power. Beta and alpha spectral features had no reliable effect on BOLD fluctuation. However, dynamic changes of alpha peak frequency exhibited a significant association with BOLD signal increase in right-hemisphere areas. Additionally, EEG dynamic complexity as measured by the HFD of the 2–20 Hz EEG frequency range significantly correlated with the activation of cortical and subcortical limbic system areas. Our results indicate that both spectral features of EEG frequency bands and nonlinear dynamic properties of spontaneous EEG are strongly associated with fluctuations of the BOLD signal during the resting state condition.


Bulletin of Experimental Biology and Medicine | 2010

Effects of Genetic Variations in the Dopaminergic System on Fatigue in Humans: Gender Aspects

N. V. Malyuchenko; J. V. Schegolkova; M. A. Kulikova; M. A. Timofeeva; V. A. Shlepzova; Olga V. Sysoeva; A. M. Ivanitsky; Alexander G. Tonevitsky

Changes in the functional status under the effect of intense mental exercise were studied in carriers of different variants of DAT1, DRD2, and COMT genes. The volunteers (n=140) performed 3-h monotonous mental work (information processing and logical problem solving). The degree of fatigue was evaluated before and after exercise by the HAM (Health status– Activity–Moods) and AMF (Acute Mental Fatigue) questionnaires. A signifi cant relationship between the DAT1, DRD2, and COMT gene polymorphism and changes in the mental sphere status were revealed. The effects of these polymorphisms were the most pronounced in girls. The results are discussed within the framework of hypothesis on the effects of changes in the phasic/tonic dopamine proportion on the studied functions.


Human Physiology | 2002

Interaction between the Frontal and Left Parietotemporal Areas in Verbal Thinking

G. A. Ivanitsky; Andrey R. Nikolaev; A. M. Ivanitsky

The synchronization of the rhythmical components of evoked potentials (EP) was studied during verbal-task solving. A novel method of the calculation of Wavelet curve correlation was used to reveal synchronization between the evoked rhythmical components in short time intervals. This method was applied to earlier EP records, which were conducted during the search for verbal associations and revealed the successive activation of the frontal and left parietal cortical areas. Two stages of task solving were identified. Independently of the task type, the first stage was characterized by a diffuse synchronization in a broad frequency band below 22 Hz immediately after the stimulus presentation. This stage results in a realization of the verbal stimulus. The second stage was manifested in a localized synchronization between the frontal and left temporal (Wernickes) areas in the narrow frequency band about 17 Hz only during search for associations. This specific and local synchronization took place earlier than the diffuse activation of the left temporal cortex. This stage appears to reflect the information transmission from the frontal cortex to the left parietotemporal area.


Bulletin of Experimental Biology and Medicine | 2009

Peculiarities of Brain Information Processing in Persons with Different Serotonin Transporter Gene Variants

Olga V. Sysoeva; N. V. Maluchenko; K. S. Smirnov; V. A. Shleptsova; A. M. Ivanitsky; Alexander G. Tonevitsky

Association of brain processes presumably underlying aggression with serotonin transporter gene polymorphism in men was studied. Carriers of more active gene variant are characterized by higher aggression index, increased component of brain potential mismatch negativity responsible for automatic difference detection, and decreased P300 component characterizing involuntary attention and cognitive control.


bioRxiv | 2018

Lateral Asymmetry in Weekly Reproducibility of Resting State Amygdala Functional Connectivity

Alina Tetereva; Vladislav Balaev; Sergey I. Kartashov; Vadim Ushakov; A. M. Ivanitsky; Olga Martynova

Abnormal functional connectivity of the amygdala with several other brain regions has been observed in patients with higher anxiety or post-traumatic stress disorder, both in a resting state and threatening conditions. However, findings on the specific connections of the amygdala might be varied due to temporal and individual fluctuations in the resting state functional connectivity (rsFC) of the amygdala and its lateral asymmetry, as well as possible variability in anxiety among healthy subjects. We studied reproducibility of rsFC data for the right and left amygdala, obtained by functional magnetic resonance imaging twice in a one-week interval in 20 healthy volunteers with low to moderate anxiety. We found resting-state amygdala network, which included not only areas involved in the emotion circuit, but regions of the default mode network (DMN) associated with memory and other brain areas involved in motor inhibition and emotion suppression. The amygdala network was stable in time and within subjects, but between-session reproducibility was asymmetrical for the right and left amygdala rsFC. The right amygdala had more significant connections with DMN regions and the right ventrolateral prefrontal cortex. The rsFC values of the right amygdala were more sustained across the week than the left amygdala rsFC. Our results support a hypothesis of functional lateralization of the amygdala. The left amygdala is more responsible for the conscious processing of threats, which may produce more variable rsFC; the right amygdala rsFC is more stable due to its greater engagement in continuous automatic evaluation of stimuli. Highlights Amygdala resting state network included areas of emotion circuit and motor control During rest amygdala was functionally connected with areas of default mode network Functional connectivity of the right amygdala was more sustained across the week Functional connections of amygdala network were more stable in the right hemisphere

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Olga V. Sysoeva

Russian Academy of Sciences

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G. A. Ivanitsky

Russian Academy of Sciences

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Andrey R. Nikolaev

Russian Academy of Sciences

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G. V. Portnova

Russian Academy of Sciences

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Olga Martynova

Russian Academy of Sciences

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Vladislav Balaev

Russian Academy of Sciences

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Alina Tetereva

Russian Academy of Sciences

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