EEG Reactivity Predicts Individual Efficacy of Vagal Nerve Stimulation in Intractable Epileptics
Status PubMed-not-MEDLINE Language English Country Switzerland Media electronic-ecollection
Document type Journal Article
PubMed
31118916
PubMed Central
PMC6507513
DOI
10.3389/fneur.2019.00392
Knihovny.cz E-resources
- Keywords
- EEG reactivity, efficacy prediction, epilepsy, epilepsy treatment, neurostimulation, vagal nerve stimulation,
- Publication type
- Journal Article MeSH
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.
Institute of Biostatistics and Analyses Faculty of Medicine Masaryk University Brno Czechia
Institute of Scientific Instruments The Czech Academy of Sciences Brno Czechia
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Entropy in scalp EEG can be used as a preimplantation marker for VNS efficacy