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

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.

Základní údaje

Originální název

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

Autoři

CHRASTINA, Jan (203 Česká republika, garant, domácí), Zdeněk NOVÁK (203 Česká republika, domácí), Tomáš ZEMAN (203 Česká republika, domácí), Irena DOLEŽALOVÁ (203 Česká republika, domácí), Eva ZATLOUKALOVÁ (203 Česká republika, domácí) a Milan BRÁZDIL (203 Česká republika, domácí)

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30210 Clinical neurology

Stát vydavatele

Slovensko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 1.500

Kód RIV

RIV/00216224:14110/22:00129736

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.4149/BLL_2022_103

UT WoS

000903730000006

Klíčová slova anglicky

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

Štítky

14110127, 14110131, podil, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 2. 2. 2023 13:54, Mgr. Tereza Miškechová

Anotace

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).

Návaznosti

NV19-04-00343, projekt VaV

Název: Predikce Efektu Stimulace u pacientů s Epilepsií (PRESEnCE) (Akronym: PRESEnCE)

Investor: Ministerstvo zdravotnictví ČR, Prediction of Stimulation Efficacy in Epilepsy

Citovat

CHRASTINA, Jan, Zdeněk NOVÁK, Tomáš ZEMAN, Irena DOLEŽALOVÁ, Eva ZATLOUKALOVÁ a Milan BRÁZDIL. Vagus nerve stimulation outcome prediction: from simple parameters to advanced models. Bratislava Medical Journal - Bratislavské lekárske listy. BRATISLAVA: Univerzita Komenského, 2022, roč. 123, č. 9, s. 641-647. ISSN 0006-9248. Dostupné z: https://dx.doi.org/10.4149/BLL_2022_103.

@article{2251551,
   author = {Chrastina, Jan and Novák, Zdeněk and Zeman, Tomáš and Doležalová, Irena and Zatloukalová, Eva and Brázdil, Milan},
   article_location = {BRATISLAVA},
   article_number = {9},
   doi = {http://dx.doi.org/10.4149/BLL_2022_103},
   keywords = {KEY WORDS; epilepsy; vagus nerve stimulation; response predictor; EEG},
   language = {eng},
   issn = {0006-9248},
   journal = {Bratislava Medical Journal - Bratislavské lekárske listy},
   title = {Vagus nerve stimulation outcome prediction: from simple parameters to advanced models},
   url = {http://www.elis.sk/index.php?page=shop.product_details&flypage=flypage.tpl&product_id=7788&category_id=179&option=com_virtuemart},
   volume = {123},
   year = {2022}
}

TY  - JOUR
ID  - 2251551
AU  - Chrastina, Jan - Novák, Zdeněk - Zeman, Tomáš - Doležalová, Irena - Zatloukalová, Eva - Brázdil, Milan
PY  - 2022
TI  - Vagus nerve stimulation outcome prediction: from simple parameters to advanced models
JF  - Bratislava Medical Journal - Bratislavské lekárske listy
VL  - 123
IS  - 9
SP  - 641-647
EP  - 641-647
PB  - Univerzita Komenského
SN  - 00069248
KW  - KEY WORDS
KW  - epilepsy
KW  - vagus nerve stimulation
KW  - response predictor
KW  - EEG
UR  - http://www.elis.sk/index.php?page=shop.product_details&flypage=flypage.tpl&product_id=7788&category_id=179&option=com_virtuemart
N2  - 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).
ER  -

CHRASTINA, Jan, Zdeněk NOVÁK, Tomáš ZEMAN, Irena DOLEŽALOVÁ, Eva ZATLOUKALOVÁ a Milan BRÁZDIL. Vagus nerve stimulation outcome prediction: from simple parameters to advanced models. \textit{Bratislava Medical Journal - Bratislavské lekárske listy}. BRATISLAVA: Univerzita Komenského, 2022, roč.~123, č.~9, s.~641-647. ISSN~0006-9248. Dostupné z: https://dx.doi.org/10.4149/BLL\_{}2022\_{}103.

Podrobný výpis o publikaci