Cortical connectivity during word association search

Ivanitsky, Alexey; Nikolaev, Andrey R.; Ivanitsky, G. A.

doi:10.1016/s0167-8760(01)00140-4

Cited by 24 publications

(10 citation statements)

References 34 publications

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“…One such example is [17], where coherence analysis and analysis of coincidences of peak frequencies in pairs of EEG derivations were performed with the same samples of healthy subjects and schizophrenics. It was found that the topography and the changes in correlations between EEG parameters depend not only on the method applied but also on whether positive or negative symptoms are observed in schizophrenics [39], as well as on the frequency ranges and particular pairs of EEG derivations used in the test procedures [39].…”

Section: Discussionmentioning

confidence: 99%

“…However, a number of limitations typical of spectral methods, specifically, of the coherence function [7,[15][16][17], have motivated the development of new techniques to examine the interdependences of EEG paired time series data in schizophrenia, including nonlinear interdependence [9], mutual information transmission measure [18], and phase locking [10], which reflect nonlinear and, in the last case, also in-phase components of the interdependence of cortical electrical processes.…”

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Analysis of EEG Structural Synchrony in Adolescents with Schizophrenic Disorders

et al. 2005

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Schizophrenia falls into the small category of diseases that impair the total psychic activity rather than particular brain systems and functions. It is not surprising that researchers have long been interested in the integrative activity of the human brain in schizophrenia. They have reported considerable data on histological and physiological changes in the human brain, providing evidence for disturbance of interrelationships and functional association between different parts of the brain at different stages of schizophrenia [1][2][3]. The most conspicuous data have been obtained for the brain electrical activity [4][5][6][7][8][9][10]. Based on these data, a hypothesis of disintegration of cortical functions (the disconnection hypothesis) has been advanced [11] to explain the schizophrenic disorders [11][12][13].In EEG studies, spectral and correlation analyses are a common method for investigating the integrative activity of the human brain, yielding evidence for the impairment of local and distant synchronies of neuronal networks in schizophrenia [4,5,7,8,14]. However, a number of limitations typical of spectral methods, specifically, of the coherence function [7,[15][16][17], have motivated the development of new techniques to examine the interdependences of EEG paired time series data in schizophrenia, including nonlinear interdependence [9], mutual information transmission measure [18], and phase locking [10], which reflect nonlinear and, in the last case, also in-phase components of the interdependence of cortical electrical processes.The results of the above studies are also in line with Friston's hypothesis of disintegration of neuronal networks in schizophrenia [11].Yet, cortical bioelectrical processes associated with ontological nonstationarity of the EEG signal [19][20][21] are not covered by the traditional or new methods of quantitative analysis of EEG spatiotemporal correlations.EEG nonstationarity implies that the EEG signal consists of quasi-stationary segments that reflect the changes in metastable states of the brain on different time scales [20,21], from microstates, with a duration of no more than several seconds [15,22], to macrostates, with a duration of tens or hundreds of minutes [23]. This concept of EEG nonstationarity provides a means for obtaining new insights into the cooperation of cortical structures. For this purpose, it is possible to estimate the EEG structural synchrony [15], i.e., the temporal synchronization of intersegmentary transitions between different EEG channels. Estimation of the spatiotemporal synchronization of local metastable states of neuronal networks appears to be a new measure of the integrative activity of the human brain.The functional importance of the EEG structural synchrony and segment characteristics has been described in a series of our works performed in several laboratories and with several cognitive and pharmacological paradigms [24][25][26][27]. In our previous work [28], changes in quasi-stationary segments of the EEG α activity were detected i...

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Section: Discussionmentioning

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Analysis of EEG Structural Synchrony in Adolescents with Schizophrenic Disorders

et al. 2005

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“…The coherence value can be low in such situations, though the functional connection is rather efficient. Therefore, we modified the method with the assumption that the precise coincidence in the particular spectral EEG components between two areas can be treated as a sign of the potential connection between them (Ivanitsky et al, 2001). Based on this assumption, the brain map can be built, distinguishing cortical areas depending upon the number of their connections with other areas.…”

Section: The Brain Basis Of Sensation and Thinking: Excitation Returnmentioning

confidence: 99%

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

Ivanitsky

Sysoeva

2009

International Journal of Psychophysiology

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“…The brain is divided into regions that control specific body functions; however, the regions also have to join their efforts to solve more complex tasks. The theory of binding tries to explain how different aspects of perception and action functionally integrate in the brain to form a unitary experience and reaction [50][51][52][53][54][55][56][57][58]. The theory presumes that there is no specific centre in the brain that would gather the information from the brain regions, governing senses, motion, etc.…”

Section: Brain Code During Motor Activity and Working Memory Tasksmentioning

confidence: 99%

Modelling in systems biology, neurology and pharmacy

Belič

2009

Mathematical and Computer Modelling of Dynamical Systems

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In the last decade, some significant changes occurred in the bio-medical area with the introduction of systemic view. In neurology and pharmacokinetics, the systemic paradigm was already well accepted, whereas other areas of bio-medicine were more or less accepting the reductionism paradigm where systems were studied through the analysis of its isolated sub-systems. The genome project showed that it is not possible to explain the diversity of life only with combinations of genes, which resulted in a new science called systems biology. Mathematical modelling, as one of the principal tools of control engineering, is now becoming a necessary tool in the analysis of biological systems. Interdisciplinary research has the already showed significant advantages over single-disciplinary research; however, the communication barrier between scientists of different backgrounds is still a major problem. Therefore, mathematical modelling is not as widely used in life sciences as would be expected with the potential benefits to the area.

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Cortical connectivity during word association search

Cited by 24 publications

References 34 publications

Analysis of EEG Structural Synchrony in Adolescents with Schizophrenic Disorders

Analysis of EEG Structural Synchrony in Adolescents with Schizophrenic Disorders

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

Modelling in systems biology, neurology and pharmacy

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