Method for prediction of clinical response to VNS therapy in epileptic patients

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F20%3A00117541" target="_blank" >RIV/00216224:14110/20:00117541 - isvavai.cz</a>

Result on the web

<a href="https://worldwide.espacenet.com/patent/search/family/059558210/publication/EP3437692B1?q=EP3437692B1" target="_blank" >https://worldwide.espacenet.com/patent/search/family/059558210/publication/EP3437692B1?q=EP3437692B1</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Method for prediction of clinical response to VNS therapy in epileptic patients

Original language description

The present invention provides a method for determining of clinical response of a patient suffering from epilepsy to chronic vagal nerve stimulation (VNS) therapy, which comprises the steps of: - obtaining theta, alpha, beta and gamma frequency bands for at least one, preferably at least 10 scalp electrodes from scalp EEG data obtained from the patient using an EEG recording protocol, said EEG data comprising at least one rest interval, preferably at the beginning of the EEG data, at least one open eyes/close eyes interval, at least one photic stimulation interval, at least one hyperventilation interval, and optionally at least one additional open eyes/close eyes interval and optionally at least one rest interval having the duration of at least 30 s at the end of the EEG data, wherein one interval is selected as a baseline interval, - obtaining absolute mean powers as mean values of passband power envelope inside at least one discriminative interval and inside the baseline interval, and obtaining the relative mean power of the at least one discriminative interval as the ratio of the absolute mean power of said discriminative interval relative to the absolute mean power of the baseline interval, - determining from the relative mean powers of the at least one discriminative interval for at least one discriminative electrode whether the patient is a responder or a non-responder to vagal nerve stimulation therapy based on a responder pattern or a non-responder pattern, wherein the responder and non-responder patterns, and optionally the discriminative electrodes and/or the discriminative intervals, are determined by statistical analysis of EEG data recorded using the said EEG recording protocol for a group of known responders and non-responders. The method of the invention is the first method of prediction of VNS therapeutic outcome using pre-VNS EEG data.

Czech name

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Czech description

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Type

P - Patent

CEP classification

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OECD FORD branch

30210 - Clinical neurology

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Patent/design ID

EP3437692B1

Publisher

EPO_1 -

Publisher name

European Patent Office

Place of publication

Munich, The Hague, Berlin, Vienna, Brussels

Publication country

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Date of acceptance

Aug 26, 2020

Owner name

Masarykova univerzita

Method of use

A - Výsledek využívá pouze poskytovatel

Usage type

A - K využití výsledku jiným subjektem je vždy nutné nabytí licence