Literature DB >> 15066546

Different EEG frequency band synchronization during nocturnal frontal lobe seizures.

Raffaele Ferri1, Cornelis J Stam, Bartolo Lanuzza, Filomena I I Cosentino, Maurizio Elia, Sebastiano A Musumeci, Giovanni Pennisi.   

Abstract

OBJECTIVE: In this article we describe the course of synchronization between different EEG channels during nocturnal seizures in one patient with nocturnal frontal lobe epilepsy (NFLE).
METHODS: The functional interactions between the different EEG channels during the nocturnal seizures were analyzed by means of the so-called synchronization likelihood (SL). SL is a measure of the dynamical interdependencies between a time series (EEG channel) and one or more other time series. In contrast to coherence, SL measures linear as well as non-linear interdependencies and it can do so as a function of time, making it suitable for non-stationary time series.
RESULTS: The main result of our single-patient study is the demonstration of a significant hyper-synchronization during NFLE seizures in the 8-12 Hz band which seems to be stopped by an increase in synchronization in the 0.5-4 Hz band, towards the end of each ictal episode.
CONCLUSIONS: We suggest that a self-inhibiting complex mechanism might be responsible for the termination of ictal episodes which might take place at the level of the cortical layers and might involve mainly pyramidal neurons. SIGNIFICANCE: This study shows that advanced EEG analysis methods can help the current understanding of ictal manifestations of NFLE.

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Mesh:

Year:  2004        PMID: 15066546     DOI: 10.1016/j.clinph.2003.12.014

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  6 in total

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Authors:  Danielle Posthuma; Eco J C de Geus; Elles J C M Mulder; Dirk J A Smit; Dorret I Boomsma; Cornelis J Stam
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2.  Focal generation of paroxysmal fast runs during electrographic seizures.

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Review 3.  Epilepsy as a disorder of cortical network organization.

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4.  Coalescence and fragmentation of cortical networks during focal seizures.

Authors:  Mark A Kramer; Uri T Eden; Eric D Kolaczyk; Rodrigo Zepeda; Emad N Eskandar; Sydney S Cash
Journal:  J Neurosci       Date:  2010-07-28       Impact factor: 6.167

5.  Characterization of synchronization in interacting groups of oscillators: application to seizures.

Authors:  István Z Kiss; Mark Quigg; Shi-Hyung Calvin Chun; Hiroshi Kori; John L Hudson
Journal:  Biophys J       Date:  2007-10-05       Impact factor: 4.033

6.  Improved diagnosis in children with partial epilepsy using a multivariable prediction model based on EEG network characteristics.

Authors:  Eric van Diessen; Willem M Otte; Kees P J Braun; Cornelis J Stam; Floor E Jansen
Journal:  PLoS One       Date:  2013-04-02       Impact factor: 3.240

  6 in total

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