Literature DB >> 18420227

[The concept of an epileptogenic network in human partial epilepsies].

F Bartolomei1, F Wendling, P Chauvel.   

Abstract

An anatomical and functional model of drug-resistant partial seizures is presented and discussed based on research conducted by our team over the last decade. This research is based on the study of intracerebral stereoelectroencephalography (SEEG) recordings in an attempt to identify the neural networks involved in generating paroxystic activities so as to understand their dynamics in space and time, and to propose targeted therapies that could "control" these networks. Today, the classical notion of epileptic focus should be replaced by a more complex model that takes into account the potential interactions within the neuronal networks involved in seizures. During partial epileptic seizures, the cerebral structures involved are the seat of characteristic oscillations that may be synchronized or, on the contrary, that can desynchronize in a transitory manner. These epileptic rhythms disturb the physiological rhythms that underlie the cognitive and emotional processes, which can thus be altered in partial epilepsy, even if located far from the original discharge site. We suggest that seizures originate in a group of structures that are highly epileptogenic (epileptogenic zone network, [EZN]) whose activity is synchronized before the appearance of fast oscillations that are transitorily desynchronized. Later, other cortical and subcortical structures are the seat of slower, synchronized rhythmic modifications (propagation network, [PN]). The emergence of clinical signs in the seizure depend on these phenomena, which in some cases can mimic a normal cognitive process or, on the contrary, lead to a deep rupture in normal cerebral functioning.

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Year:  2008        PMID: 18420227     DOI: 10.1016/j.neuchi.2008.02.013

Source DB:  PubMed          Journal:  Neurochirurgie        ISSN: 0028-3770            Impact factor:   1.553


  10 in total

1.  Changes in interhemispheric inhibition following successful epilepsy surgery: a TMS study.

Authors:  C H Läppchen; B Feil; S Fauser; F X Glocker; A Schulze-Bonhage
Journal:  J Neurol       Date:  2010-07-31       Impact factor: 4.849

2.  Neuropsychological profile of adult patients with nonsymptomatic occipital lobe epilepsies.

Authors:  Leonilda Bilo; Gabriella Santangelo; Ilaria Improta; Carmine Vitale; Roberta Meo; Luigi Trojano
Journal:  J Neurol       Date:  2012-08-18       Impact factor: 4.849

3.  Noninvasive dynamic imaging of seizures in epileptic patients.

Authors:  Louise Tyvaert; Pierre LeVan; Francois Dubeau; Jean Gotman
Journal:  Hum Brain Mapp       Date:  2009-12       Impact factor: 5.038

4.  From intracerebral EEG signals to brain connectivity: identification of epileptogenic networks in partial epilepsy.

Authors:  Fabrice Wendling; Patrick Chauvel; Arnaud Biraben; Fabrice Bartolomei
Journal:  Front Syst Neurosci       Date:  2010-11-25

5.  Localization of Epileptogenic Zone With the Correction of Pathological Networks.

Authors:  Chuanzuo Yang; Guoming Luan; Qian Wang; Zhao Liu; Feng Zhai; Qingyun Wang
Journal:  Front Neurol       Date:  2018-03-14       Impact factor: 4.003

6.  Seizure Freedom After Epilepsy Surgery and Higher Baseline Cognition May Be Associated With a Negatively Correlated Epilepsy Network in Temporal Lobe Epilepsy.

Authors:  Elliot G Neal; Mike R Schoenberg; Stephanie Maciver; Yarema B Bezchlibnyk; Fernando L Vale
Journal:  Front Neurosci       Date:  2021-01-18       Impact factor: 4.677

7.  Long-term effects of temporal lobe epilepsy on local neural networks: a graph theoretical analysis of corticography recordings.

Authors:  Edwin van Dellen; Linda Douw; Johannes C Baayen; Jan J Heimans; Sophie C Ponten; W Peter Vandertop; Demetrios N Velis; Cornelis J Stam; Jaap C Reijneveld
Journal:  PLoS One       Date:  2009-11-26       Impact factor: 3.240

8.  Intraoperative epileptogenic network visualization using gamma oscillation regularity correlation analysis in epilepsy surgery.

Authors:  Yuta Kobayashi; Yosuke Sato; Tatsuya Sugiyama; Tohru Mizutani
Journal:  Surg Neurol Int       Date:  2021-06-07

Review 9.  Identification of the Epileptogenic Zone from Stereo-EEG Signals: A Connectivity-Graph Theory Approach.

Authors:  Ferruccio Panzica; Giulia Varotto; Fabio Rotondi; Roberto Spreafico; Silvana Franceschetti
Journal:  Front Neurol       Date:  2013-11-06       Impact factor: 4.003

10.  Dynamical Mechanisms of Interictal Resting-State Functional Connectivity in Epilepsy.

Authors:  Julie Courtiol; Maxime Guye; Fabrice Bartolomei; Spase Petkoski; Viktor K Jirsa
Journal:  J Neurosci       Date:  2020-06-08       Impact factor: 6.167

  10 in total

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