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Predictive role of brain connectivity for resective surgery in Lennox-Gastaut syndrome.

Authors :
Hur YJ
Kim HD
Source :
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2016 Aug; Vol. 127 (8), pp. 2862-2868. Date of Electronic Publication: 2016 May 25.
Publication Year :
2016

Abstract

Objective: Callosotomy can reveal hidden primary epileptogenic areas in Lennox-Gastaut syndrome (LGS). We studied the significance of causal connectivity for identifying hidden epileptogenic areas in preoperative electroencephalography (EEG) and for making a decision regarding resective surgery.<br />Methods: We enrolled 18 LGS patients who underwent corpus callosotomy. Eight patients with unilateral epileptogenicity on post-callosotomy EEG underwent resective surgery (group A). Ten patients with independent bilateral epileptogenicity did not undergo resective surgery (group B). We analyzed generalized epileptiform discharges on pre-callosotomy EEG via direct directed transfer function (dDTF) and partial directed coherence (PDC).<br />Results: All regions exhibiting unilaterality in group A and bilaterality identified by dDTF or PDC in group B were concordant with the lateralization of the irritative zone on post-callosotomy EEG and with the localization of the resective areas, except for one patient in group A. The regions identified by dDTF exhibited high concordance rates with the resective areas in patients with good outcomes.<br />Conclusions: Causal connectivity methods showed good concordance with hidden epileptogenic areas, and its concordance was associated with the prognosis of surgical outcome.<br />Significance: This study provides evidence that causal connectivity methods can be helpful in deciding which type of surgery will be suitable for an LGS patient.<br /> (Copyright © 2016 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1872-8952
Volume :
127
Issue :
8
Database :
MEDLINE
Journal :
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Publication Type :
Academic Journal
Accession number :
27417063
Full Text :
https://doi.org/10.1016/j.clinph.2016.05.011