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
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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/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