Neuronal and network dynamics preceding experimental seizures

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Neuronal and network dynamics preceding experimental seizures

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Neuronal and network dynamics preceding experimental seizures

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

<a href="/cs/project/NT11460" target="_blank" >NT11460: Komplexní analýza intrakraniálního EEG záznamu a identifikace epileptogenní zóny u pacientů s nelezionální farmakorezistentní epilepsií</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Recent Advance in Predicting and Preventing Epileptic Sezures

ISBN

978-981-4525-35-0

Počet stran výsledku

14

Strana od-do

16-29

Počet stran knihy

304

Název nakladatele

World Scientific Publishing Co.

Místo vydání

Munich

Kód UT WoS kapitoly

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