EEG phase synchronization in patients with paranoid schizophrenia

Bob, Petr; Paluš, Milan; Susta, Marek; Gláslová, Kateřina

doi:10.1016/j.neulet.2008.09.055

Cited by 75 publications

(51 citation statements)

References 29 publications

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“…Current data also show preliminary evidence on the relationship between deficits in phase synchrony and the symptoms of schizophrenia (Spencer et al, 2004;Uhlhaas et al, 2006;Bob et al, 2008;Williams et al, 2009;Lee et al, 2010;Mulert et al, 2011;Bob, 2012). For example, Lee et al (2010), in an auditory oddball paradigm experiment, reported a decrease in frontal and left hemisphere γ synchrony and also found distinct patterns of γ disturbances.…”

Section: Common Aspects Of Neural Mechanisms Of Consciousness and Schsupporting

confidence: 70%

Consciousness, awareness of insight and neural mechanisms of schizophrenia

Touskova

Bob²

2015

Reviews in the Neurosciences

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AbstractAccording to recent research, disturbances of self-awareness and conscious experience have a critical role in the pathophysiology of schizophrenia, and in this context, schizophrenia is currently understood as a disorder characterized by distortions of acts of awareness, self-consciousness, and self-monitoring. Together, these studies suggest that the processes of disrupted awareness and conscious disintegration in schizophrenia might be related and represented by similar disruptions on the brain level, which, in principle, could be explained by various levels of disturbed connectivity and information disintegration that may negatively affect usual patterns of synchronous activity constituting adaptive integrative functions of consciousness. On the other hand, mental integration based on self-awareness and insight may significantly increase information integration and directly influence neural mechanisms underlying basic pathophysiological processes in schizophrenia.

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Section: Common Aspects Of Neural Mechanisms Of Consciousness and Schsupporting

confidence: 70%

Consciousness, awareness of insight and neural mechanisms of schizophrenia

Touskova

Bob²

2015

Reviews in the Neurosciences

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“…Genetic vulnerabilities for schizophrenia have, for instance, been linked to abnormalities in brain development that are reflected in neurocognitive deficits, such as impairments in information processing, verbal memory and executive function [2][3][4][5][6][7]. Further, these cognitive deficits may be linked to disruption in synchronized oscillatory activity of neural networks, which would allow for the effective integration of information and hence binding of associations [8][9][10][11].…”

Section: * E-mail: Plysaker@iupuiedumentioning

confidence: 99%

Synthetic metacognition as a link between brain and behavior in schizophrenia

Lysaker¹,

Bob

Pěč³

et al. 2013

Translational Neuroscience

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Deficits in metacognitive capacity in schizophrenia can be conceptualized as existing along a spectrum from more discrete to more synthetic activities. These capacities may be of great importance in schizophrenia research given their potential to mediate and moderate the impact of illness-related factors on outcome. To explore this possibility this review summarizes research on synthetic metacognition using a paradigm in which metacognitive capacity is rated on the basis of spontaneously produced personal narratives. Evidence from a review of the literature shows that these deficits are detectable in patients with schizophrenia and are related to, but not reducible to, symptom severity and poorer neurocognitive function. Independent of symptoms and neurocognition, deficits in synthetic metacognition, which are likely linked to the brain's ability to integrate information, are related to a range of outcomes including functional competence, learning potential, and insight. These deficits may also play a role in long term psychosocial functioning via their impact on the ability to sustain social functions.

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“…Therefore, when the signal is broadband it is necessary to pre-filter it in the frequency band of interest before applying the HT, in order to get an better estimate of the phase [42]. Some authors used wavelet-based approach to analyze phase synchrony between pairs of EEG signals [13,[43][44][45]. These time-varying measures of phase synchrony using wavelet or HTs are similar in their results.…”

Section: Phase Synchrony Informationmentioning

confidence: 99%

Evaluation of the modified S-transform for time-frequency synchrony analysis and source localisation

Assous

Boashash

2012

EURASIP J. Adv. Signal Process.

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This article considers the problem of phase synchrony and coherence analysis using a modified version of the Stransform, referred to here as the Modified S-transform (MST). This is a novel and important time-frequency approach to study the phase coupling between two or more different spatially recorded entities with nonstationary characteristics. The basic method includes a cross-spectral analysis to study the phase synchrony of nonstationary signals, and relies on some properties of the MST, such as phase preservation. We demonstrate the usefulness of the technique using simulated examples and real newborn EEG data. The results show the advantage of using the cross-MST in the study of the connectivity between different signals using the time-frequency coherence. The MST led to improvements in resolution of almost twofold over the standard S-Transform in the examples presented in the article.

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EEG phase synchronization in patients with paranoid schizophrenia

Cited by 75 publications

References 29 publications

Consciousness, awareness of insight and neural mechanisms of schizophrenia

Consciousness, awareness of insight and neural mechanisms of schizophrenia

Synthetic metacognition as a link between brain and behavior in schizophrenia

Evaluation of the modified S-transform for time-frequency synchrony analysis and source localisation

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