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The state of vigilance and not antiseizure medication dosage drive variability in interictal epilepsy biomarkers

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F25%3A00638567" target="_blank" >RIV/68081731:_____/25:00638567 - isvavai.cz</a>

  • Alternative codes found

    RIV/00159816:_____/25:00082392 RIV/00216224:14110/25:00141884 RIV/00216305:26220/26:0199134

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S1388245725006777" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1388245725006777</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.clinph.2025.2110825" target="_blank" >10.1016/j.clinph.2025.2110825</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The state of vigilance and not antiseizure medication dosage drive variability in interictal epilepsy biomarkers

  • Original language description

    Objective: During presurgical intracranial electroencephalography (iEEG) investigation, anti-seizure medication (ASM) is typically tapered to record seizures. Interictal biomarkers are critical for epileptogenic zone (EZ) localization. This study examines how ASM tapering and other confounding factors influence the rates and localization accuracy of interictal iEEG biomarkers. Methods: iEEG data from 19 patients were analyzed during two 24 h sections separated by at least seven days during > 10-day iEEG monitoring. ASM dosage, vigilance state, time of day, seizure proximity, and duration of monitoring were evaluated for their impact on interictal biomarker rates, spatial distribution and localization of the EZ. Results: Biomarker rates, spatial distributions, and EZ localization did not significantly differ between the two 24hour sections. The state of vigilance emerged as the most significant contributor explaining 22.7 % of the variability. Seizure proximity, time of day and ASM dosage contributed minimally, each accounting for <= 3.7 % of the variability. Conclusions: The state of vigilance is the most significant determinant of interictal biomarker variability, and exceeds the impact of all other confounding factors regarding biomarker rates, distribution, and EZ localization. Significance: These findings highlight the importance of vigilance state over ASM tapering, supporting the potential use of interictal biomarkers for EZ localization, regardless of ASM adjustments.

  • 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

    30210 - Clinical neurology

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

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Clinical Neurophysiology

  • ISSN

    1388-2457

  • e-ISSN

    1872-8952

  • Volume of the periodical

    177

  • Issue of the periodical within the volume

    September

  • Country of publishing house

    IE - IRELAND

  • Number of pages

    10

  • Pages from-to

    2110825

  • UT code for WoS article

    001555554600002

  • EID of the result in the Scopus database