Literature DB >> 7649002

Spatio-temporal dynamics of the primary epileptogenic area in temporal lobe epilepsy characterized by neuronal complexity loss.

K Lehnertz1, C E Elger.   

Abstract

Neurons involved in the epileptic processes exhibit high frequency discharges scarcely modulated by physiological brain activity. This behaviour should be accompanied by a loss of complexity in the corresponding electrographic signal. From the theory of non-linear dynamics it is known that the correlation dimension allows a quantitative description of complexity in terms of the number of degrees of freedom. To test whether a relationship exists between spatio-temporal alterations of neuronal complexity and spatial extent and temporal dynamics of the epileptogenic area, a moving-window correlation dimension analysis was applied to intracranially recorded electrocorticograms of 20 patients with unilateral temporal lobe epilepsy. Dimension as a function of time was calculated for interictal activity (n = 98) and seizure activity including the pre- and postictal phase (n = 28) from recording locations within the epileptogenic area, in adjacent areas and in homologous contralateral sites. Pronounced changes of the dimension in time were found, gradually decreasing with increasing distance from the focal area. Extraction of a single value quantifying the dimension variance of interictal activity allowed the primary epileptogenic area to be laterized in exact agreement with the results of the presurgical work-up and the confirmation of the postoperative outcome, without the necessity of observing actual seizure activity.

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Mesh:

Year:  1995        PMID: 7649002     DOI: 10.1016/0013-4694(95)00071-6

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  25 in total

Review 1.  Seizure prediction and its applications.

Authors:  Leon D Iasemidis
Journal:  Neurosurg Clin N Am       Date:  2011-10       Impact factor: 2.509

2.  Cortical abnormalities in epilepsy revealed by local EEG synchrony.

Authors:  C A Schevon; J Cappell; R Emerson; J Isler; P Grieve; R Goodman; G McKhann; H Weiner; W Doyle; R Kuzniecky; O Devinsky; F Gilliam
Journal:  Neuroimage       Date:  2007-01-16       Impact factor: 6.556

3.  Application of correlation dimension and pointwise dimension for non-linear topographical analysis of focal onset seizures.

Authors:  M Feucht; U Möller; H Witte; F Benninger; S Asenbaum; D Prayer; M H Friedrich
Journal:  Med Biol Eng Comput       Date:  1999-03       Impact factor: 2.602

4.  New feature extraction approach for epileptic EEG signal detection using time-frequency distributions.

Authors:  Carlos Guerrero-Mosquera; Armando Malanda Trigueros; Jorge Iriarte Franco; Angel Navia-Vázquez
Journal:  Med Biol Eng Comput       Date:  2010-03-09       Impact factor: 2.602

5.  Locally embedded presages of global network bursts.

Authors:  Satohiro Tajima; Takeshi Mita; Douglas J Bakkum; Hirokazu Takahashi; Taro Toyoizumi
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-21       Impact factor: 11.205

6.  Epilepsy and nonlinear dynamics.

Authors:  Klaus Lehnertz
Journal:  J Biol Phys       Date:  2008-07-09       Impact factor: 1.365

7.  Space-time network connectivity and cortical activations preceding spike wave discharges in human absence epilepsy: a MEG study.

Authors:  Disha Gupta; Pauly Ossenblok; Gilles van Luijtelaar
Journal:  Med Biol Eng Comput       Date:  2011-04-30       Impact factor: 2.602

8.  Seizure prediction in patients with focal hippocampal epilepsy.

Authors:  Ardalan Aarabi; Bin He
Journal:  Clin Neurophysiol       Date:  2017-05-12       Impact factor: 3.708

9.  Estimating short-run and long-run interaction mechanisms in interictal state.

Authors:  Ata Ozkaya; Mehmet Korürek
Journal:  J Comput Neurosci       Date:  2009-11-10       Impact factor: 1.621

10.  Seizure prediction.

Authors:  J Chris Sackellares
Journal:  Epilepsy Curr       Date:  2008 May-Jun       Impact factor: 7.500

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