Literature DB >> 12694925

Epileptic seizures are preceded by a decrease in synchronization.

Florian Mormann1, Thomas Kreuz, Ralph G Andrzejak, Peter David, Klaus Lehnertz, Christian E Elger.   

Abstract

The exact mechanisms leading to the occurrence of epileptic seizures in humans are still poorly understood. It is widely accepted, however, that the process of seizure generation is closely associated with an abnormal synchronization of neurons. In order to investigate this process, we here measure phase synchronization between different regions of the brain using intracranial EEG recordings. Based on our preliminary finding of a preictal drop in synchronization, we investigate whether this phenomenon can be used as a sensitive and specific criterion to characterize a preseizure state and to distinguish this state from the interictal interval. Applying an automated technique for detecting decreased synchronization to EEG recordings from a group of 18 patients with focal epilepsy comprising a total of 117 h, we observe a characteristic decrease in synchronization prior to 26 out of 32 analyzed seizures at a very high specificity as tested on interictal recordings. The duration of this preictal state is found to range from several minutes up to a few hours. Investigation of the spatial distribution of preictal desynchronization indicates that the process of seizure generation in focal epilepsy is not necessarily confined to the focus itself but may instead involve more distant, even contralateral areas of the brain. Finally, we demonstrate an intrahemispheric asymmetry in the spatial dynamics of preictal desynchronization that is found in the majority of seizures and appears to be an immanent part of the mechanisms underlying the initiation of seizures in humans.

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Year:  2003        PMID: 12694925     DOI: 10.1016/s0920-1211(03)00002-0

Source DB:  PubMed          Journal:  Epilepsy Res        ISSN: 0920-1211            Impact factor:   3.045


  52 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.  Discriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG.

Authors:  Kais Gadhoumi; Jean-Marc Lina; Jean Gotman
Journal:  Clin Neurophysiol       Date:  2012-04-03       Impact factor: 3.708

3.  A phase-synchronization and random-matrix based approach to multichannel time-series analysis with application to epilepsy.

Authors:  Ivan Osorio; Ying-Cheng Lai
Journal:  Chaos       Date:  2011-09       Impact factor: 3.642

4.  State-dependent precursors of seizures in correlation-based functional networks of electrocorticograms of patients with temporal lobe epilepsy.

Authors:  Hirokazu Takahashi; Shuhei Takahashi; Ryohei Kanzaki; Kensuke Kawai
Journal:  Neurol Sci       Date:  2012-01-21       Impact factor: 3.307

5.  Neural synchronization at tonic-to-bursting transitions.

Authors:  Svetlana Postnova; Karlheinz Voigt; Hans A Braun
Journal:  J Biol Phys       Date:  2007-10-26       Impact factor: 1.365

6.  A rule-based seizure prediction method for focal neocortical epilepsy.

Authors:  Ardalan Aarabi; Bin He
Journal:  Clin Neurophysiol       Date:  2012-02-22       Impact factor: 3.708

7.  Inferring spatiotemporal network patterns from intracranial EEG data.

Authors:  A Ossadtchi; R E Greenblatt; V L Towle; M H Kohrman; K Kamada
Journal:  Clin Neurophysiol       Date:  2010-06       Impact factor: 3.708

8.  Assessing instantaneous synchrony of nonlinear nonstationary oscillators in the brain.

Authors:  Ananda S Fine; David P Nicholls; David J Mogul
Journal:  J Neurosci Methods       Date:  2009-11-10       Impact factor: 2.390

9.  Noise-Assisted Multivariate EMD-Based Mean-Phase Coherence Analysis to Evaluate Phase-Synchrony Dynamics in Epilepsy Patients.

Authors:  Sina Farahmand; Tiwalade Sobayo; David J Mogul
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-11-15       Impact factor: 3.802

10.  'Functional connectivity' is a sensitive predictor of epilepsy diagnosis after the first seizure.

Authors:  Linda Douw; Marjolein de Groot; Edwin van Dellen; Jan J Heimans; Hanneke E Ronner; Cornelis J Stam; Jaap C Reijneveld
Journal:  PLoS One       Date:  2010-05-26       Impact factor: 3.240

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