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Dive into the research topics where Katerina Glaslova is active.

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Featured researches published by Katerina Glaslova.


Neuroscience Letters | 2008

EEG phase synchronization in patients with paranoid schizophrenia

Petr Bob; Milan Paluš; Marek Susta; Katerina Glaslova

Recent findings suggest that specific deficits in neural synchrony and binding may underlie cognitive disturbances in schizophrenia and that key aspects of schizophrenia pathology involve discoordination and disconnection of distributed processes in multiple cortical areas associated with cognitive deficits. In the present study we aimed to investigate the underlying cortical mechanism of disturbed frontal-temporal-central-parietal connectivity in schizophrenia by examination of the synchronization patterns using wavelet phase synchronization index and coherence between all defined couples of 8 EEG signals recorded at different cortical sites in its relationship to positive and negative symptoms of schizophrenia. 31 adult schizophrenic outpatients with diagnosis of paranoid schizophrenia (mean age 27.4) were assessed in the study. The obtained results present the first quantitative evidence indicating direct relationship between wavelet phase synchronization and coherence in pairs of EEG signals recorded from frontal, temporal, central and parietal brain areas and positive and negative symptoms of schizophrenia. The performed analysis demonstrates that the level of phase synchronization and coherence in some pairs of EEG signals is inversely related to positive symptoms, negative symptoms and general psychopathology in temporal scales (frequency ranges) given by wavelet frequencies (WFs) equal to or higher than 7.56 Hz, and positively related to negative symptoms in wavelet frequencies equal to or lower than 5.35 Hz. This finding suggests that higher and lower frequencies may play a specific role in binding and connectivity and may be related to decreased or increased synchrony with specific manifestation in cognitive deficits of schizophrenia.


Psychiatry Research-neuroimaging | 2010

Dissociative symptoms and interregional EEG cross-correlations in paranoid schizophrenia

Petr Bob; Marek Susta; Katerina Glaslova; Nash N. Boutros

Recent findings indicate that binding and synchronization of distributed activities are crucial for the mechanism of consciousness, and there is increased evidence that disruptions in feature binding produce disintegration of consciousness in schizophrenia. These data suggest that the disrupted binding and disintegration of consciousness could be related to dissociation, which is historically linked to Bleulers concept of splitting in schizophrenia. In the present study we aimed to investigate relations among electroencephalogram (EEG) activities of cortical sites and used psychometric measures of positive and negative schizophrenia symptoms (Positive and Negative Syndrome Scale) and the Dissociative Experiences Scale (DES) in 58 patients with paranoid schizophrenia. The results show statistically significant Spearman correlations of the DES with cross-correlation function in nine (of 16) EEG pairs. Positive symptoms display significant Spearman correlation with mean of cross-correlation function in only one EEG pair (F4-C4). Results of the Mann-Whitney test between patients with higher (DES > or = 30) and lower dissociation show statistically significant differences between the groups for cross-correlations in nine EEG pairs. The results of this study provide the first supportive evidence for a negative relationship between cross-correlation indices and symptoms of dissociation in schizophrenia.


Progress in Neuro-psychopharmacology & Biological Psychiatry | 2010

Sensitization, epileptic-like symptoms and local synchronization in patients with paranoid schizophrenia

Petr Bob; Milan Paluš; Marek Susta; Katerina Glaslova

Recent findings indicate that changes in synchronization of neural activities underlying sensitization and kindling could be more comprehensively understood using nonlinear methods. With this aim we have examined local synchronization using novel measure of coarse-grained information rate (CIR) in 8 EEG signals recorded at different cortical areas in 44 patients with paranoid schizophrenia. The values of local synchronization that could reflect sensitization related changes in EEG activities of cortical sites were then related to psychometric measures of epileptic-like symptoms and positive and negative schizophrenia symptoms (PANSS). While no significant correlations between CIR and positive and negative symptoms have been found, statistically significant relationships described by Spearman correlation coefficients between CIR indices and results of LSCL-33 have been observed in 7 (of 8) EEG channels (r in the range from 0.307 to 0.374, p<0.05). Results of this study provide first supportive evidence for the relationship between local synchronization measured by CIR and epileptic-like symptoms in schizophrenia.


Activitas nervosa superior | 2010

Dissociative States and Chaotic Patterns of Electrodermal Activity During Associative Experiment

Petr Bob; Marek Susta; Katerina Glaslova; Jan Chládek

A dynamic concept of schizophrenia linked to the theory of dissociated complexes was experimentally demonstrated by Jung in “The Psychology of the Dementia Praecox”. According to him, during schizophrenia the psyche is split-off into a plurality of autonomous complexes and the whole personality is pathologically disintegrated. This pathological disintegration is frequently observed in schizophrenic associations that display “chaotic randomness”. The “chaotic randomness” does not mean a true randomness because schizophrenic associations are not without underlying order and causality. An important aspect of schizophrenic dissociation is an extreme subjective sensitivity. These two signs of schizophrenic associations are analogical to known characteristics of chaotic nonlinear dynamical systems. The hypothesis tested in the present study is that neural chaos, calculated from electrodermal activity (EDA), during rest and word-association process is more prominent in schizophrenic patients compared to healthy controls. To test the hypothesis we have measured EDA during the experiment performed in 25 schizophrenic patients and 21 healthy control subjects. Results of nonlinear and statistical analysis indicate that the neural chaos characterized by positive largest Lyapunov exponents during rest and the word-association process is significantly higher in the schizophrenic patients. These data suggest that pseudo-randomness of schizophrenic associations and increased sensitivity related to dissociative states might be linked to the chaotic neural dynamics.


International Journal of Psychophysiology | 2009

Chaos in schizophrenia associations, reality or metaphor

Petr Bob; Marek Susta; Jan Chládek; Katerina Glaslova; Milan Paluš


Neuro endocrinology letters | 2005

Traumatic dissociation, epileptic-like phenomena, and schizophrenia.

Petr Bob; Katerina Glaslova; Marek Susta; Denisa Jasova


Neuro endocrinology letters | 2007

The influence of Wine Zweigeltrebe and Breslava Chateau Karvaj on blood pressure in healthy volunteers

Petr Bob; Marek Susta; Katerina Glaslova; Josef Pavlat; Jiri Raboch


Medical Science Monitor | 2007

Neural complexity, dissociation, and schizophrenia

Petr Bob; Marek Susta; Jan Chládek; Katerina Glaslova; Peter G. Fedor-Freybergh


General Physiology and Biophysics | 2007

Neural chaos and schizophrenia

Petr Bob; Jan Chládek; Marek Susta; Katerina Glaslova; F. Jagla; Miloslav Kukleta


Neuro endocrinology letters | 2007

Dissociation, epileptic-like activity and lateralized electrodermal dysfunction in patients with schizophrenia and depression

Petr Bob; Marek Susta; Katerina Glaslova; Peter G. Fedor-Freybergh; Josef Pavlat; Jozef Miklosko; Jiri Raboch

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Marek Susta

Charles University in Prague

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Jan Chládek

Academy of Sciences of the Czech Republic

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Josef Pavlat

Charles University in Prague

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Milan Paluš

Academy of Sciences of the Czech Republic

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Denisa Jasova

Charles University in Prague

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Jiri Raboch

Charles University in Prague

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Miloslav Kukleta

Central European Institute of Technology

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Nash N. Boutros

University of Missouri–Kansas City

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