Prediction of Stimulation Efficacy in Epilepsy (PRESEnCE)
Project goals
Proposed project is focused on the prediction of neurostimulation methods (vagal nerve stimulation, deep brain stimulation) efficacy in patients with epilepsy. Neurostimulation leads to significant seizure reduction in approximately 50% of implanted patient. By now, we are not able to identify patients who can benefit from implantation of neurostimulator pre-operatively. We managed to develop a statistic mode, which is able to predict efficacy of vagal nerve stimulation based on routine pre-implantation EEG. This statistic model predict efficacy of vagal nerve stimulation with high sensitivity and specificity. Proposed project is based on this statistic model, we would like to develop similar model for children with implanted vagal nerve stimulator and for patients with deep brain stimulation. At the same time, we realize the necessity to verify our statistic model on independent external data set, which we supposed to be crucial for the clinical application. The project is focused on the improvement of medical care in patients with drug-resistant epilepsy.
Keywords
epilepsieepilepsyneurostimulaceNeurostimulationhluboká mozková stimulacedeep brain stimulationstimulace vagového nervupredikce efektustatistický modelvagal nerve stimulationefficacy predictionstatistic model
Public support
Provider
Ministry of Health
Programme
Programme to support medical applied research in 2015 to 2022
Call for proposals
Zdravotnický AV 5 (SMZ0201900001)
Main participants
Fakultní nemocnice u sv. Anny v Brně
Contest type
VS - Public tender
Contract ID
NV19-04-00343
Alternative language
Project name in Czech
Predikce Efektu Stimulace u pacientů s Epilepsií (PRESEnCE)
Annotation in Czech
Navrhovaný projekt se zaměřuje na predikci efektu neurostimulačních metod (vagové stimulace, hluboké mozkové stimulace) u pacientů s epilepsií. V současnosti je známo, že neurostimulační metody vedou k významné redukci záchvatů cca u 50% implantovaných pacientů. Dosud však nejsme schopni pacienty, kteří profitují z implantace neurostimulátoru, identifikovat na základě jejich předimplantačních dat. Našemu kolektivu se podařilo vyvinout statistický model, který predikuje efekt vagové stimulace na základě rutinního EEG, které bylo natočeno před implantací. Tento statistický model predikuje efekt vagové stimulace s vysokou sensitivitou a specificitou. Nynější projekt vychází z tohoto statistického modelu, snahou je vytvořit obdobný model pro děti s implantovaný vagovým stimulátorem a pro pacienty s hlubokou mozkovou stimulací. Současně si rovněž uvědomujeme nutnost otestovat statistický model na externích datech, toto testování vnímáme jako zásadní pro jeho klinické využití. Projekt se zaměřuje na zlepšení péče o pacienty s farmakorezistentní epilepsií.
Scientific branches
Completed project evaluation
Provider evaluation
V - Vynikající výsledky projektu (s mezinárodním významem atd.)
Project results evaluation
Overall, I consider it a very high-quality project that provided new information and publications and I consider it to be well-executed, so I recommend a positive evaluation. Prediction of vagal stimulation results based on EEG data routinely obtained during pre-implantation examination. Elaboration of the design of a large-scale clinical study, which is made possible by the fact that the model is applicable to various EEG systems - confirmed by an accepted publication. The possibility of use also in pediatric patients (certain limitation due to difficult to solve hyperventilation). Perspective for use to predict the effect of deep brain stimulation of the anterior thalamic nucleus in patients with pharmacoresistant epilepsy. The basis for further work on EEG signal processing using other techniques – methods for estimating signal complexity, which are part of the concept of information theory. Currently, supervised deep learning techniques have been proven to be an effective tool for
Solution timeline
Realization period - beginning
May 1, 2019
Realization period - end
Dec 31, 2023
Project status
U - Finished project
Latest support payment
Apr 19, 2022
Data delivery to CEP
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data delivery code
CEP24-MZ0-NV-U
Data delivery date
Aug 1, 2024
Finance
Total approved costs
8,856 thou. CZK
Public financial support
8,856 thou. CZK
Other public sources
0 thou. CZK
Non public and foreign sources
0 thou. CZK
Recognised costs
8 856 CZK thou.
Public support
8 856 CZK thou.
0%
Provider
Ministry of Health
OECD FORD
Clinical neurology
Solution period
01. 05. 2019 - 31. 12. 2023