CHRASTINA, Jan, Zdeněk NOVÁK, Tomáš ZEMAN, Irena DOLEŽALOVÁ, Eva ZATLOUKALOVÁ and Milan BRÁZDIL. Vagus nerve stimulation outcome prediction: from simple parameters to advanced models. Bratislava Medical Journal - Bratislavské lekárske listy. BRATISLAVA: Univerzita Komenského, vol. 123, No 9, p. 641-647. ISSN 0006-9248. doi:10.4149/BLL_2022_103. 2022.
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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
Original language English
Type of outcome Article in a journal
Field of Study 30210 Clinical neurology
Country of publisher Slovakia
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 1.500
RIV identification code RIV/00216224:14110/22:00129736
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.4149/BLL_2022_103
UT WoS 000903730000006
Keywords in English KEY WORDS; epilepsy; vagus nerve stimulation; response predictor; EEG
Tags 14110127, 14110131, podil, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 2/2/2023 13:54.
Abstract
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 projectName: Predikce Efektu Stimulace u pacientů s Epilepsií (PRESEnCE) (Acronym: PRESEnCE)
Investor: Ministry of Health of the CR
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