P 2020

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

BRÁZDIL, Milan, Irena DOLEŽALOVÁ, Eva KORIŤÁKOVÁ, Jan CHRASTINA, Robert ROMAN et. al.

Základní údaje

Originální název

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

Autoři

BRÁZDIL, Milan (203 Česká republika, garant, domácí), Irena DOLEŽALOVÁ (203 Česká republika, domácí), Eva KORIŤÁKOVÁ (203 Česká republika, domácí), Jan CHRASTINA (203 Česká republika, domácí), Robert ROMAN (203 Česká republika, domácí), Jan CHLÁDEK (203 Česká republika, domácí) a Martin PAIL (203 Česká republika, domácí)

Vydání

Číslo: EP3437692B1, Vydavatel: European Patent Office, Místo vydání: Munchen, Germany, Název vlastníka: Masarykova univerzita, 2020

Další údaje

Jazyk

angličtina

Typ výsledku

Patent

Obor

30210 Clinical neurology

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Kód RIV

RIV/00216224:14110/20:00117541

Organizační jednotka

Lékařská fakulta

Klíčová slova anglicky

epilepsy;EEG;VNS;vagal nerve stimulation;prediction;prognosis;therapy;clinical response;

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 7. 1. 2021 12:58, Ing. Daniela Tršová, Ph.D.

Anotace

V originále

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.