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
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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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
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