Physiological and pathological high frequency oscillations in focal epilepsy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F18%3A00069260" target="_blank" >RIV/00159816:_____/18:00069260 - isvavai.cz</a>
Alternative codes found
RIV/68081731:_____/18:00493946 RIV/68407700:21730/18:00324145
Result on the web
<a href="http://dx.doi.org/10.1002/acn3.618" target="_blank" >http://dx.doi.org/10.1002/acn3.618</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/acn3.618" target="_blank" >10.1002/acn3.618</a>
Alternative languages
Result language
angličtina
Original language name
Physiological and pathological high frequency oscillations in focal epilepsy
Original language description
ObjectiveThis study investigates high-frequency oscillations (HFOs; 65-600Hz) as a biomarker of epileptogenic brain and explores three barriers to their clinical translation: (1) Distinguishing pathological HFOs (pathHFO) from physiological HFOs (physHFO). (2) Classifying tissue under individual electrodes as epileptogenic (3) Reproducing results across laboratories. MethodsWe recorded HFOs using intracranial EEG (iEEG) in 90 patients with focal epilepsy and 11 patients without epilepsy. In nine patients with epilepsy putative physHFOs were induced by cognitive or motor tasks. HFOs were identified using validated detectors. A support vector machine (SVM) using HFO features was developed to classify tissue under individual electrodes as normal or epileptogenic. ResultsThere was significant overlap in the amplitude, frequency, and duration distributions for spontaneous physHFO, task induced physHFO, and pathHFO, but the amplitudes of the pathHFO were higher (P<0.0001). High gamma pathHFO had the strongest association with seizure onset zone (SOZ), and were elevated on SOZ electrodes in 70% of epilepsy patients (P<0.0001). Failure to resect tissue generating high gamma pathHFO was associated with poor outcomes (P<0.0001). A SVM classified individual electrodes as epileptogenic with 63.9% sensitivity and 73.7% specificity using SOZ as the target. InterpretationA broader range of interictal pathHFO (65-600Hz) than previously recognized are biomarkers of epileptogenic brain, and are associated with SOZ and surgical outcome. Classification of HFOs into physiological or pathological remains challenging. Classification of tissue under individual electrodes was demonstrated to be feasible. The open source data and algorithms provide a resource for future studies.
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
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
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY
ISSN
2328-9503
e-ISSN
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Volume of the periodical
5
Issue of the periodical within the volume
9
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
1062-1076
UT code for WoS article
000444941200005
EID of the result in the Scopus database
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