J 2022

Vagus nerve stimulation outcome prediction: from simple parameters to advanced models

CHRASTINA, Jan, Zdeněk NOVÁK, Tomáš ZEMAN, Irena DOLEŽALOVÁ, Eva ZATLOUKALOVÁ et. al.

Basic information

Original name

Vagus nerve stimulation outcome prediction: from simple parameters to advanced models

Authors

CHRASTINA, Jan (203 Czech Republic, guarantor, belonging to the institution), Zdeněk NOVÁK (203 Czech Republic, belonging to the institution), Tomáš ZEMAN (203 Czech Republic, belonging to the institution), Irena DOLEŽALOVÁ (203 Czech Republic, belonging to the institution), Eva ZATLOUKALOVÁ (203 Czech Republic, belonging to the institution) and Milan BRÁZDIL (203 Czech Republic, belonging to the institution)

Edition

Bratislava Medical Journal - Bratislavské lekárske listy, BRATISLAVA, Univerzita Komenského, 2022, 0006-9248

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30210 Clinical neurology

Country of publisher

Slovakia

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 1.500

RIV identification code

RIV/00216224:14110/22:00129736

Organization unit

Faculty of Medicine

UT WoS

000903730000006

Keywords in English

KEY WORDS; epilepsy; vagus nerve stimulation; response predictor; EEG

Tags

International impact, Reviewed
Změněno: 2/2/2023 13:54, Mgr. Tereza Miškechová

Abstract

V originále

Since its approval as an adjunct treatment for refractory partial epilepsy, the positive effects of vagus nerve stimulation (VNS) on seizure frequency and severity have been supported by many studies. Seizure reduction of more than 50 % can be expected in at least 50 % of patients. However, a complete post-VNS seizure freedom is rarely achieved and 25 % of patients do not benefit from VNS. Our study provides an overview of the potential predictors of VNS response, from the most simple and basic data to sophisticated EEG processing studies and functional imaging studying brain connectivity. The data support better outcomes in younger patients with early VNS implantation, in patients with posttraumatic epilepsy or tuberous sclerosis, and in patients without bilateral interictal epileptiform discharges. The variability of heart activity has also been studied with some promising results. Because the generally accepted hypothesis of the VNS mechanism is the modulation of synaptic activity in multiple cortical and subcortical regions of the brain, the studies of brain response to external stimulation and/or of brain connectivity were used for models predicting the effect of VNS in individual patients. Although the predictive value of these models is high, the required special equipment and sophisticated mathematical tools limit their routine use (Ref. 58).

Links

NV19-04-00343, research and development project
Name: Predikce Efektu Stimulace u pacientů s Epilepsií (PRESEnCE) (Acronym: PRESEnCE)
Investor: Ministry of Health of the CR