Entropy in scalp EEG can be used as a preimplantation marker for VNS efficacy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F23%3A00579296" target="_blank" >RIV/68081731:_____/23:00579296 - isvavai.cz</a>
Alternative codes found
RIV/00159816:_____/23:00079598 RIV/00216224:14110/23:00132842
Result on the web
<a href="https://www.nature.com/articles/s41598-023-46113-z" target="_blank" >https://www.nature.com/articles/s41598-023-46113-z</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41598-023-46113-z" target="_blank" >10.1038/s41598-023-46113-z</a>
Alternative languages
Result language
angličtina
Original language name
Entropy in scalp EEG can be used as a preimplantation marker for VNS efficacy
Original language description
Vagus nerve stimulation (VNS) is a therapeutic option in drug-resistant epilepsy. VNS leads to ≥ 50% seizure reduction in 50 to 60% of patients, termed responders. The remaining 40 to 50% of patients, non-responders, exhibit seizure reduction < 50%. Our work aims to differentiate between these two patient groups in preimplantation EEG analysis by employing several Entropy methods. We identified 59 drug-resistant epilepsy patients treated with VNS. We established their response to VNS in terms of responders and non-responders. A preimplantation EEG with eyes open/closed, photic stimulation, and hyperventilation was found for each patient. The EEG was segmented into eight time intervals within four standard frequency bands. In all, 32 EEG segments were obtained. Seven Entropy methods were calculated for all segments. Subsequently, VNS responders and non-responders were compared using individual Entropy methods. VNS responders and non-responders differed significantly in all Entropy methods except Approximate Entropy. Spectral Entropy revealed the highest number of EEG segments differentiating between responders and non-responders. The most useful frequency band distinguishing responders and non-responders was the alpha frequency, and the most helpful time interval was hyperventilation and rest 4 (the end of EEG recording).
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
<a href="/en/project/LX22NPO5107" target="_blank" >LX22NPO5107: National institute for Neurological Research</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Scientific Reports
ISSN
2045-2322
e-ISSN
2045-2322
Volume of the periodical
13
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
18849
UT code for WoS article
001105087400032
EID of the result in the Scopus database
2-s2.0-85175736015