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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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