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Critical slowing down as a biomarker for seizure susceptibility

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F20%3A00524739" target="_blank" >RIV/67985807:_____/20:00524739 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985823:_____/20:00524739 RIV/00216208:11130/20:10411086 RIV/68407700:21230/20:00341650 RIV/00023752:_____/20:43920250

  • Result on the web

    <a href="https://www.nature.com/articles/s41467-020-15908-3" target="_blank" >https://www.nature.com/articles/s41467-020-15908-3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s41467-020-15908-3" target="_blank" >10.1038/s41467-020-15908-3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Critical slowing down as a biomarker for seizure susceptibility

  • Original language description

    The human brain has the capacity to rapidly change state, and in epilepsy these state changes can be catastrophic, resulting in loss of consciousness, injury and even death. Theoretical interpretations considering the brain as a dynamical system suggest that prior to a seizure, recorded brain signals may exhibit critical slowing down, a warning signal preceding many critical transitions in dynamical systems. Using long-term intracranial electroencephalography (iEEG) recordings from fourteen patients with focal epilepsy, we monitored key signatures of critical slowing down prior to seizures. The metrics used to detect critical slowing down fluctuated over temporally long scales (hours to days), longer than would be detectable in standard clinical evaluation settings. Seizure risk was associated with a combination of these signals together with epileptiform discharges. These results provide strong validation of theoretical models and demonstrate that critical slowing down is a reliable indicator that could be used in seizure forecasting algorithms.

  • 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/NV17-28427A" target="_blank" >NV17-28427A: Functional and structural reorganization of brain networks after stroke: implications for diagnosis and therapy of associated comorbidities.</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Nature Communications

  • ISSN

    2041-1723

  • e-ISSN

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    12

  • Pages from-to

    2172

  • UT code for WoS article

    000531425900014

  • EID of the result in the Scopus database

    2-s2.0-85082328143