Literature DB >> 10383646

Type III intermittency in human partial epilepsy.

J L Velazquez1, H Khosravani, A Lozano, B L Bardakjian, P L Carlen, R Wennberg.   

Abstract

A rigorous characterization of the dynamic regimes underlying human seizures is needed to understand, and possibly control, the transition to seizure. Intra- or extracranial brain electrical activity was recorded in five patients with partial epilepsy, and the interictal and ictal activity analysed to determine the dynamics of seizures. We constructed first-return one-dimensional maps by fitting the scatter plots of interpeak intervals. The features of the mapping indicated that type III intermittency is the dynamic characteristic of the ictal events. This was confirmed using histograms of the durations of the regular phases during seizures. The intermittent regime explains the abrupt transitions observed during ictal events in terms of transient stabilization of the unstable steady state.

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Year:  1999        PMID: 10383646     DOI: 10.1046/j.1460-9568.1999.00688.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  7 in total

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5.  The control of seizure-like activity in the rat hippocampal slice.

Authors:  Houman Khosravani; Peter L Carlen; Jose L Perez Velazquez
Journal:  Biophys J       Date:  2003-01       Impact factor: 4.033

6.  Wavelet-based Gaussian-mixture hidden Markov model for the detection of multistage seizure dynamics: a proof-of-concept study.

Authors:  Alan Wl Chiu; Miron Derchansky; Marija Cotic; Peter L Carlen; Steuart O Turner; Berj L Bardakjian
Journal:  Biomed Eng Online       Date:  2011-04-19       Impact factor: 2.819

7.  Following a potential epileptogenic insult, prolonged high rates of nonlinear dynamical regimes of intermittency type is the hallmark of epileptogenesis.

Authors:  Massimo Rizzi; Itai Weissberg; Dan Z Milikovsky; Alon Friedman
Journal:  Sci Rep       Date:  2016-08-04       Impact factor: 4.379

  7 in total

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