A Novel Statistical Model for Predicting the Efficacy of Vagal Nerve Stimulation in Patients With Epilepsy (Pre-X-Stim) Is Applicable to Different EEG Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F21%3A00543276" target="_blank" >RIV/68081731:_____/21:00543276 - isvavai.cz</a>
Alternative codes found
RIV/00159816:_____/21:00074687 RIV/00216224:14110/21:00120112
Result on the web
<a href="https://www.frontiersin.org/articles/10.3389/fnins.2021.635787/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fnins.2021.635787/full</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fnins.2021.635787" target="_blank" >10.3389/fnins.2021.635787</a>
Alternative languages
Result language
angličtina
Original language name
A Novel Statistical Model for Predicting the Efficacy of Vagal Nerve Stimulation in Patients With Epilepsy (Pre-X-Stim) Is Applicable to Different EEG Systems
Original language description
Background: Identifying patients with intractable epilepsy who would benefit from therapeutic chronic vagal nerve stimulation (VNS) preoperatively remains a major clinical challenge. We have developed a statistical model for predicting VNS efficacy using only routine preimplantation electroencephalogram (EEG) recorded with the TruScan EEG device (Brazdil et al., 2019). It remains to be seen, however, if this model can be applied in different clinical settings.nObjective: To validate our model using EEG data acquired with a different recording system.nMethods: We identified a validation cohort of eight patients implanted with VNS, whose preimplantation EEG was recorded on the BrainScope device and who underwent the EEG recording according to the protocol. The classifier developed in our earlier work, named Pre-X-Stim, was then employed to classify these patients as predicted responders or non-responders based on the dynamics in EEG power spectra. Predicted and real-world outcomes were compared to establish the applicability of this classifier. In total, two validation experiments were performed using two different validation approaches (single classifier or classifier voting).nResults: The classifier achieved 75% accuracy, 67% sensitivity, and 100% specificity. Only two patients, both real-life responders, were classified incorrectly in both validation experiments.nConclusion: We have validated the Pre-X-Stim model on EEGs from a different recording system, which indicates its application under different technical conditions. Our approach, based on preoperative EEG, is easily applied and financially undemanding and presents great potential for real-world clinical use.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
<a href="/en/project/NV19-04-00343" target="_blank" >NV19-04-00343: Prediction of Stimulation Efficacy in Epilepsy (PRESEnCE)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Frontiers in Neuroscience
ISSN
1662-453X
e-ISSN
1662-453X
Volume of the periodical
15
Issue of the periodical within the volume
11 May
Country of publishing house
CH - SWITZERLAND
Number of pages
6
Pages from-to
635787
UT code for WoS article
000653635600001
EID of the result in the Scopus database
2-s2.0-85107209187