EEG Reactivity Predicts Individual Efficacy of Vagal Nerve
Stimulation in Intractable Epileptics

J 2019

EEG Reactivity Predicts Individual Efficacy of Vagal Nerve Stimulation in Intractable Epileptics

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

Základní údaje

Originální název

EEG Reactivity Predicts Individual Efficacy of Vagal Nerve Stimulation in Intractable Epileptics

Autoři

BRÁZDIL, Milan (203 Česká republika, garant, domácí), Irena DOLEŽALOVÁ (203 Česká republika, domácí), Eva KORIŤÁKOVÁ (203 Česká republika, domácí), Jan CHLÁDEK (203 Česká republika, domácí), Robert ROMAN (203 Česká republika, domácí), Martin PAIL (203 Česká republika, domácí), Pavel JURAK (203 Česká republika), Daniel Joel SHAW (826 Velká Británie a Severní Irsko, domácí) a Jan CHRASTINA (203 Česká republika, domácí)

Vydání

FRONTIERS IN NEUROLOGY, LAUSANNE, FRONTIERS MEDIA SA, 2019, 1664-2295

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30210 Clinical neurology

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 2.889

Kód RIV

RIV/00216224:14110/19:00108497

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.3389/fneur.2019.00392

UT WoS

000466518800001

Klíčová slova anglicky

vagal nerve stimulation; neurostimulation; epilepsy; efficacy prediction; EEG reactivity; epilepsy treatment

Štítky

14110127, 14110131, 14119612, podil, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 11. 5. 2020 13:04, Mgr. Tereza Miškechová

Anotace

V originále

Background: Chronic vagal nerve stimulation (VNS) is a well-established non-pharmacological treatment option for drug-resistant epilepsy. This study sought to develop a statistical model for prediction of VNS efficacy. We hypothesized that reactivity of the electroencephalogram (EEG) to external stimuli measured during routine preoperative evaluation differs between VNS responders and non-responders. Materials and Methods: Power spectral analyses were computed retrospectively on pre-operative EEG recordings from 60 epileptic patients with VNS. Thirty five responders and 25 non-responders were compared on the relative power values in four standard frequency bands and eight conditions of clinical assessment-eyes opening/closing, photic stimulation, and hyperventilation. Using logistic regression, groups of electrodes within anatomical areas identified as maximally discriminative by n leave-one-out iterations were used to classify patients. The reliability of the predictive model was verified with an independent data-set from 22 additional patients. Results: Power spectral analyses revealed significant differences in EEG reactivity between responders and non-responders; specifically, the dynamics of alpha and gamma activity strongly reflected VNS efficacy. Using individual EEG reactivity to develop and validate a predictive model, we discriminated between responders and non-responders with 86% accuracy, 83% sensitivity, and 90% specificity. Conclusion: We present a new statistical model with which EEG reactivity to external stimuli during routine presurgical evaluation can be seen as a promising avenue for the identification of patients with favorable VNS outcome. This novel method for the prediction of VNS efficacy might represent a breakthrough in the management of drug-resistant epilepsy, with wide-reaching medical and economic implications.

Návaznosti

LQ1601, projekt VaV

Název: CEITEC 2020 (Akronym: CEITEC2020)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, CEITEC 2020

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

BRÁZDIL, Milan, Irena DOLEŽALOVÁ, Eva KORIŤÁKOVÁ, Jan CHLÁDEK, Robert ROMAN, Martin PAIL, Pavel JURAK, Daniel Joel SHAW a Jan CHRASTINA. EEG Reactivity Predicts Individual Efficacy of Vagal Nerve Stimulation in Intractable Epileptics. FRONTIERS IN NEUROLOGY. LAUSANNE: FRONTIERS MEDIA SA, 2019, roč. 10, č. 392, s. 1-11. ISSN 1664-2295. Dostupné z: https://dx.doi.org/10.3389/fneur.2019.00392.

@article{1546030,
   author = {Brázdil, Milan and Doležalová, Irena and Koriťáková, Eva and Chládek, Jan and Roman, Robert and Pail, Martin and Jurak, Pavel and Shaw, Daniel Joel and Chrastina, Jan},
   article_location = {LAUSANNE},
   article_number = {392},
   doi = {http://dx.doi.org/10.3389/fneur.2019.00392},
   keywords = {vagal nerve stimulation; neurostimulation; epilepsy; efficacy prediction; EEG reactivity; epilepsy treatment},
   language = {eng},
   issn = {1664-2295},
   journal = {FRONTIERS IN NEUROLOGY},
   title = {EEG Reactivity Predicts Individual Efficacy of Vagal Nerve Stimulation in Intractable Epileptics},
   url = {https://www.frontiersin.org/articles/10.3389/fneur.2019.00392/full},
   volume = {10},
   year = {2019}
}

TY  - JOUR
ID  - 1546030
AU  - Brázdil, Milan - Doležalová, Irena - Koriťáková, Eva - Chládek, Jan - Roman, Robert - Pail, Martin - Jurak, Pavel - Shaw, Daniel Joel - Chrastina, Jan
PY  - 2019
TI  - EEG Reactivity Predicts Individual Efficacy of Vagal Nerve Stimulation in Intractable Epileptics
JF  - FRONTIERS IN NEUROLOGY
VL  - 10
IS  - 392
SP  - 1-11
EP  - 1-11
PB  - FRONTIERS MEDIA SA
SN  - 16642295
KW  - vagal nerve stimulation
KW  - neurostimulation
KW  - epilepsy
KW  - efficacy prediction
KW  - EEG reactivity
KW  - epilepsy treatment
UR  - https://www.frontiersin.org/articles/10.3389/fneur.2019.00392/full
L2  - https://www.frontiersin.org/articles/10.3389/fneur.2019.00392/full
N2  - Background: Chronic vagal nerve stimulation (VNS) is a well-established non-pharmacological treatment option for drug-resistant epilepsy. This study sought to develop a statistical model for prediction of VNS efficacy. We hypothesized that reactivity of the electroencephalogram (EEG) to external stimuli measured during routine preoperative evaluation differs between VNS responders and non-responders. Materials and Methods: Power spectral analyses were computed retrospectively on pre-operative EEG recordings from 60 epileptic patients with VNS. Thirty five responders and 25 non-responders were compared on the relative power values in four standard frequency bands and eight conditions of clinical assessment-eyes opening/closing, photic stimulation, and hyperventilation. Using logistic regression, groups of electrodes within anatomical areas identified as maximally discriminative by n leave-one-out iterations were used to classify patients. The reliability of the predictive model was verified with an independent data-set from 22 additional patients. Results: Power spectral analyses revealed significant differences in EEG reactivity between responders and non-responders; specifically, the dynamics of alpha and gamma activity strongly reflected VNS efficacy. Using individual EEG reactivity to develop and validate a predictive model, we discriminated between responders and non-responders with 86% accuracy, 83% sensitivity, and 90% specificity. Conclusion: We present a new statistical model with which EEG reactivity to external stimuli during routine presurgical evaluation can be seen as a promising avenue for the identification of patients with favorable VNS outcome. This novel method for the prediction of VNS efficacy might represent a breakthrough in the management of drug-resistant epilepsy, with wide-reaching medical and economic implications.
ER  -

BRÁZDIL, Milan, Irena DOLEŽALOVÁ, Eva KORIŤÁKOVÁ, Jan CHLÁDEK, Robert ROMAN, Martin PAIL, Pavel JURAK, Daniel Joel SHAW a Jan CHRASTINA. EEG Reactivity Predicts Individual Efficacy of Vagal Nerve Stimulation in Intractable Epileptics. \textit{FRONTIERS IN NEUROLOGY}. LAUSANNE: FRONTIERS MEDIA SA, 2019, roč.~10, č.~392, s.~1-11. ISSN~1664-2295. Dostupné z: https://dx.doi.org/10.3389/fneur.2019.00392.

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