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Neuronal and network dynamics preceding experimental seizures

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F13%3A10389787" target="_blank" >RIV/00216208:11130/13:10389787 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1142/9789814525350_0002" target="_blank" >https://doi.org/10.1142/9789814525350_0002</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1142/9789814525350_0002" target="_blank" >10.1142/9789814525350_0002</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Neuronal and network dynamics preceding experimental seizures

  • Original language description

    How seizures are initiated remains far from clear. Understanding the dynamics of neuronal networks, which lead to transition to seizure, and identifying reliable markers for this process remains an area of active research. Recent studies demonstrated that seizures can be preceded by detectable changes in cellular and network dynamics. These dynamical features resemble a process of critical slowing which is characterized by an increase variance in time series, shift to lower frequencies, increased skewness etc. Additionally, it is accompanied by a progressive decrease of neuronal network resilience, which manifests as enhanced sensitivity to external or internal perturbations. Transition to seizure occurs during a very unstable state of network dynamics when even very weak perturbations are capable of tipping the dynamical regime of the network to seizure. Demonstrating that the dynamics of epileptic neuronal networks are governed by similar principles to other dynamical systems opens new ways to design better methods to examine network dynamical state and to control and/or reverse the transition to seizure. (C) 2013 by World Scientific Publishing Co. Pte. Ltd. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    30103 - Neurosciences (including psychophysiology)

Result continuities

  • Project

    <a href="/en/project/NT11460" target="_blank" >NT11460: Intracranial EEG signal processing; epileptogenic zone identification in non-lesional refractory epilepsy patients</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Recent Advance in Predicting and Preventing Epileptic Sezures

  • ISBN

    978-981-4525-35-0

  • Number of pages of the result

    14

  • Pages from-to

    16-29

  • Number of pages of the book

    304

  • Publisher name

    World Scientific Publishing Co.

  • Place of publication

    Munich

  • UT code for WoS chapter