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Ictal Gamma-Band Interactions Localize Ictogenic Nodes of the Epileptic Network in Focal Cortical Dysplasia

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F21%3A00543462" target="_blank" >RIV/67985823:_____/21:00543462 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985807:_____/21:00543462 RIV/00023752:_____/21:43920629 RIV/00216208:11130/21:10428678 RIV/68407700:21230/21:00350090 RIV/00064203:_____/21:10428678

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.clinph.2021.04.016" target="_blank" >http://dx.doi.org/10.1016/j.clinph.2021.04.016</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.clinph.2021.04.016" target="_blank" >10.1016/j.clinph.2021.04.016</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Ictal Gamma-Band Interactions Localize Ictogenic Nodes of the Epileptic Network in Focal Cortical Dysplasia

  • Original language description

    Objective: Epilepsy surgery fails in > 30% of patients with focal cortical dysplasia (FCD). The seizure persistence after surgery can be attributed to the inability to precisely localize the tissue with an endogenous potential to generate seizures. In this study, we aimed to identify the critical components of the epileptic network that were actively involved in seizure genesis. Methods: The directed transfer function was applied to intracranial EEG recordings and the effective connectivity was determined with a high temporal and frequency resolution. Pre-ictal network properties were compared with ictal epochs to identify regions actively generating ictal activity and discriminate them from the areas of propagation. Results: Analysis of 276 seizures from 30 patients revealed the existence of a seizure-related network reconfiguration in the gamma-band (25–170 Hz, p < 0.005) – ictogenic nodes. Unlike seizure onset zone, resecting the majority of ictogenic nodes correlated with favorable outcomes (p < 0.012). Conclusion: The prerequisite to successful epilepsy surgery is the accurate identification of brain areas from which seizures arise. We show that in FCD-related epilepsy, gamma-band network markers can reliably identify and distinguish ictogenic areas in macroelectrode recordings, improve intracranial EEG interpretation and better delineate the epileptogenic zone. Significance: Ictogenic nodes localize the critical parts of the epileptogenic tissue and increase the diagnostic yield of intracranial evaluation.

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • 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

    132

  • Issue of the periodical within the volume

    8

  • Country of publishing house

    IE - IRELAND

  • Number of pages

    10

  • Pages from-to

    1927-1936

  • UT code for WoS article

    000674175200021

  • EID of the result in the Scopus database

    2-s2.0-85109523613