Detailed Information on Publication Record
2019
EEG Reactivity Predicts Individual Efficacy of Vagal Nerve Stimulation in Intractable Epileptics
BRÁZDIL, Milan, Irena DOLEŽALOVÁ, Eva KORIŤÁKOVÁ, Jan CHLÁDEK, Robert ROMAN et. al.Basic information
Original name
EEG Reactivity Predicts Individual Efficacy of Vagal Nerve Stimulation in Intractable Epileptics
Authors
BRÁZDIL, Milan (203 Czech Republic, guarantor, belonging to the institution), Irena DOLEŽALOVÁ (203 Czech Republic, belonging to the institution), Eva KORIŤÁKOVÁ (203 Czech Republic, belonging to the institution), Jan CHLÁDEK (203 Czech Republic, belonging to the institution), Robert ROMAN (203 Czech Republic, belonging to the institution), Martin PAIL (203 Czech Republic, belonging to the institution), Pavel JURAK (203 Czech Republic), Daniel Joel SHAW (826 United Kingdom of Great Britain and Northern Ireland, belonging to the institution) and Jan CHRASTINA (203 Czech Republic, belonging to the institution)
Edition
FRONTIERS IN NEUROLOGY, LAUSANNE, FRONTIERS MEDIA SA, 2019, 1664-2295
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30210 Clinical neurology
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 2.889
RIV identification code
RIV/00216224:14110/19:00108497
Organization unit
Faculty of Medicine
UT WoS
000466518800001
Keywords in English
vagal nerve stimulation; neurostimulation; epilepsy; efficacy prediction; EEG reactivity; epilepsy treatment
Tags
International impact, Reviewed
Změněno: 11/5/2020 13:04, Mgr. Tereza Miškechová
Abstract
V originále
Background: Chronic vagal nerve stimulation (VNS) is a well-established non-pharmacological treatment option for drug-resistant epilepsy. This study sought to develop a statistical model for prediction of VNS efficacy. We hypothesized that reactivity of the electroencephalogram (EEG) to external stimuli measured during routine preoperative evaluation differs between VNS responders and non-responders. Materials and Methods: Power spectral analyses were computed retrospectively on pre-operative EEG recordings from 60 epileptic patients with VNS. Thirty five responders and 25 non-responders were compared on the relative power values in four standard frequency bands and eight conditions of clinical assessment-eyes opening/closing, photic stimulation, and hyperventilation. Using logistic regression, groups of electrodes within anatomical areas identified as maximally discriminative by n leave-one-out iterations were used to classify patients. The reliability of the predictive model was verified with an independent data-set from 22 additional patients. Results: Power spectral analyses revealed significant differences in EEG reactivity between responders and non-responders; specifically, the dynamics of alpha and gamma activity strongly reflected VNS efficacy. Using individual EEG reactivity to develop and validate a predictive model, we discriminated between responders and non-responders with 86% accuracy, 83% sensitivity, and 90% specificity. Conclusion: We present a new statistical model with which EEG reactivity to external stimuli during routine presurgical evaluation can be seen as a promising avenue for the identification of patients with favorable VNS outcome. This novel method for the prediction of VNS efficacy might represent a breakthrough in the management of drug-resistant epilepsy, with wide-reaching medical and economic implications.
Links
| LQ1601, research and development project |
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| NV19-04-00343, research and development project |
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