Literature DB >> 19391782

Derivation and analysis of an ordinary differential equation mean-field model for studying clinically recorded epilepsy dynamics.

Frank Marten1, Serafim Rodrigues, Piotr Suffczynski, Mark P Richardson, John R Terry.   

Abstract

In this paper we describe how an ordinary differential equation model of corticothalamic interactions may be obtained from a more general system of delay differential equations. We demonstrate that transitions to epileptic dynamics via changes in system parameters are qualitatively the same as in the original model with delay, as well as demonstrating that the onset of epileptic activity may arise due to regions of bistability. Hence, the model presents in one unique framework, two competing theories for the genesis of epileptiform activity. Similarities between model transitions and clinical data are presented and we argue that statistics obtained from, and a parameter estimation of this model may be a potential means of classifying and predicting the onset and offset of seizure activity.

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Mesh:

Year:  2009        PMID: 19391782     DOI: 10.1103/PhysRevE.79.021911

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  26 in total

Review 1.  Computational modeling of epilepsy for an experimental neurologist.

Authors:  Abbey B Holt; Theoden I Netoff
Journal:  Exp Neurol       Date:  2012-05-14       Impact factor: 5.330

Review 2.  Role of multiple-scale modeling of epilepsy in seizure forecasting.

Authors:  Levin Kuhlmann; David B Grayden; Fabrice Wendling; Steven J Schiff
Journal:  J Clin Neurophysiol       Date:  2015-06       Impact factor: 2.177

3.  Regulation and control roles of the basal ganglia in the development of absence epileptiform activities.

Authors:  Bing Hu; Dingjiang Wang; Zhinan Xia; Aijun Yang; Jingsong Zhang; Qianqian Shi; Hao Dai
Journal:  Cogn Neurodyn       Date:  2019-10-08       Impact factor: 5.082

4.  Controlling mechanism of absence seizures by deep brain stimulus applied on subthalamic nucleus.

Authors:  Bing Hu; Yu Guo; Xiaoqiang Zou; Jing Dong; Long Pan; Min Yu; Zhejia Yang; Chaowei Zhou; Zhang Cheng; Wanyue Tang; Haochen Sun
Journal:  Cogn Neurodyn       Date:  2017-10-20       Impact factor: 5.082

5.  Extensions to a manifold learning framework for time-series analysis on dynamic manifolds in bioelectric signals.

Authors:  Burak Erem; Ramon Martinez Orellana; Damon E Hyde; Jurriaan M Peters; Frank H Duffy; Petr Stovicek; Simon K Warfield; Rob S MacLeod; Gilead Tadmor; Dana H Brooks
Journal:  Phys Rev E       Date:  2016-04-29       Impact factor: 2.529

6.  A spatially extended model for macroscopic spike-wave discharges.

Authors:  Peter Neal Taylor; Gerold Baier
Journal:  J Comput Neurosci       Date:  2011-05-10       Impact factor: 1.621

7.  The Role of Striatal Feedforward Inhibition in the Maintenance of Absence Seizures.

Authors:  Takafumi Arakaki; Séverine Mahon; Stéphane Charpier; Arthur Leblois; David Hansel
Journal:  J Neurosci       Date:  2016-09-14       Impact factor: 6.167

8.  A taxonomy of seizure dynamotypes.

Authors:  Maria Luisa Saggio; Dakota Crisp; Jared M Scott; Philippa Karoly; Levin Kuhlmann; Mitsuyoshi Nakatani; Tomohiko Murai; Matthias Dümpelmann; Andreas Schulze-Bonhage; Akio Ikeda; Mark Cook; Stephen V Gliske; Jack Lin; Christophe Bernard; Viktor Jirsa; William C Stacey
Journal:  Elife       Date:  2020-07-21       Impact factor: 8.140

9.  The importance of modeling epileptic seizure dynamics as spatio-temporal patterns.

Authors:  Gerold Baier; Marc Goodfellow; Peter N Taylor; Yujiang Wang; Daniel J Garry
Journal:  Front Physiol       Date:  2012-07-17       Impact factor: 4.566

10.  Neural masses and fields in dynamic causal modeling.

Authors:  Rosalyn Moran; Dimitris A Pinotsis; Karl Friston
Journal:  Front Comput Neurosci       Date:  2013-05-28       Impact factor: 2.380

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