Literature DB >> 20738379

From mesial temporal lobe to temporoperisylvian seizures: a quantified study of temporal lobe seizure networks.

Fabrice Bartolomei1, Delphine Cosandier-Rimele, Aileen McGonigal, Sandrine Aubert, Jean Régis, Martine Gavaret, Fabrice Wendling, Patrick Chauvel.   

Abstract

PURPOSE: The determination of epileptogenic structures in partial epilepsy is crucial in the context of epilepsy surgery. In this study we have quantified the "epileptogenicity" of mesial temporal lobe structures (M), lateral neocortical regions (L), and extratemporal perisylvian structures (ET) in patients with temporal lobe epilepsy (TLE), in order to classify the brain networks involved in seizure generation.
METHODS: Thirty-four patients having TLE investigated by intracerebral recordings using stereotactic electroencephalography (EEG) (SEEG) were selected. Epileptogenicity of M, L, and ET structures was quantified according to the "epileptogenicity index" (EI), a new way to quantify rapid discharges at seizure onset, ranging from 0 (no epileptogenicity) to 1 (maximal epileptogenicity).
RESULTS: Automatic clustering using EI values from M, L, and ET separated patients into four classes: mesial group (max EI in M), lateral group (max EI in L), mesiolateral group (high EI in both M and L) and temporoperisylvian group (TPS) (high values in ET). The median number of highly epileptogenic structures (defined by EI >0.3) was four, a result confirming that most TLE is organized as "epileptogenic networks." We found that the duration of epilepsy was correlated with the number of epileptogenic structures and that surgical prognosis was also related to the extent of the epileptogenicity in the brain.
CONCLUSIONS: Several distinct epileptogenic networks are involved in seizure generation in TLE. Findings advocate for a progressive recruitment of epileptogenic structures in human brain with time. Wiley Periodicals, Inc.
© 2010 International League Against Epilepsy.

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Year:  2010        PMID: 20738379     DOI: 10.1111/j.1528-1167.2010.02690.x

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  16 in total

1.  Correlating magnetoencephalography to stereo-electroencephalography in patients undergoing epilepsy surgery.

Authors:  Hiroatsu Murakami; Zhong I Wang; Ahmad Marashly; Balu Krishnan; Richard A Prayson; Yosuke Kakisaka; John C Mosher; Juan Bulacio; Jorge A Gonzalez-Martinez; William E Bingaman; Imad M Najm; Richard C Burgess; Andreas V Alexopoulos
Journal:  Brain       Date:  2016-11-01       Impact factor: 13.501

2.  Perisylvian vulnerability to postencephalitic epilepsy.

Authors:  Claude Steriade; Lara Jehi; Balu Krishnan; Marcia Morita-Sherman; Ahsan N V Moosa; Stephen Hantus; Patrick Chauvel
Journal:  Clin Neurophysiol       Date:  2020-05-11       Impact factor: 3.708

3.  Seizure localization using three-dimensional surface projections of intracranial EEG power.

Authors:  Hyang Woon Lee; Mark W Youngblood; Pue Farooque; Xiao Han; Stephen Jhun; William C Chen; Irina Goncharova; Kenneth Vives; Dennis D Spencer; Hitten Zaveri; Lawrence J Hirsch; Hal Blumenfeld
Journal:  Neuroimage       Date:  2013-07-11       Impact factor: 6.556

4.  Display of consistent ictal networks in refractory mesial temporal lobe epilepsy.

Authors:  G U Martz; S E Johnson; X Liu; B J Wolf; J L Hudson; M Quigg
Journal:  Clin Neurophysiol       Date:  2013-04-29       Impact factor: 3.708

5.  Temporal lobe epilepsy surgery failures: a review.

Authors:  Adil Harroud; Alain Bouthillier; Alexander G Weil; Dang Khoa Nguyen
Journal:  Epilepsy Res Treat       Date:  2012-04-22

6.  Unraveling spurious properties of interaction networks with tailored random networks.

Authors:  Stephan Bialonski; Martin Wendler; Klaus Lehnertz
Journal:  PLoS One       Date:  2011-08-05       Impact factor: 3.240

7.  Ictal depth EEG and MRI structural evidence for two different epileptogenic networks in mesial temporal lobe epilepsy.

Authors:  Negar Memarian; Sarah K Madsen; Paul M Macey; Itzhak Fried; Jerome Engel; Paul M Thompson; Richard J Staba
Journal:  PLoS One       Date:  2015-04-07       Impact factor: 3.240

Review 8.  Mapping epileptic activity: sources or networks for the clinicians?

Authors:  Francesca Pittau; Pierre Mégevand; Laurent Sheybani; Eugenio Abela; Frédéric Grouiller; Laurent Spinelli; Christoph M Michel; Margitta Seeck; Serge Vulliemoz
Journal:  Front Neurol       Date:  2014-11-05       Impact factor: 4.003

9.  Individual brain structure and modelling predict seizure propagation.

Authors:  Timothée Proix; Fabrice Bartolomei; Maxime Guye; Viktor K Jirsa
Journal:  Brain       Date:  2017-03-01       Impact factor: 13.501

10.  The accuracy of quantitative EEG biomarker algorithms depends upon seizure onset dynamics.

Authors:  Garnett Smith; William C Stacey
Journal:  Epilepsy Res       Date:  2021-06-24       Impact factor: 2.991

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