2013
Intracerebrally recorded high frequency oscillations: Simple visual assessment versus automated detection
PAIL, Martin; Josef HALÁMEK; Pavel DANIEL; Robert KUBA; Ivana TYRLÍKOVÁ et. al.Základní údaje
Originální název
Intracerebrally recorded high frequency oscillations: Simple visual assessment versus automated detection
Autoři
PAIL, Martin; Josef HALÁMEK; Pavel DANIEL ORCID; Robert KUBA; Ivana TYRLÍKOVÁ; Jan CHRASTINA; Pavel JURÁK; Ivan REKTOR a Milan BRÁZDIL
Vydání
Clinical Neurophysiology, Clare, Elsevier Ireland, 2013, 1388-2457
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30000 3. Medical and Health Sciences
Stát vydavatele
Irsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 2.979
Kód RIV
RIV/00216224:14740/13:00066144
Organizační jednotka
Středoevropský technologický institut
UT WoS
000324531400006
Klíčová slova anglicky
High frequency oscillations; Spikes; Ripples; Fast ripples; Temporal lobe epilepsy; Extratemporal lobe epilepsy; Seizure onset zone; Epileptogenic zone
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 17. 10. 2013 13:16, Olga Křížová
Anotace
V originále
Objective: We compared the possible contribution (in the detection of seizure onset zone – SOZ) of simple visual assessment of intracerebrally recorded high-frequency oscillations (HFO) with standard automated detection. Methods: We analyzed stereo-EEG (SEEG) recordings from 20 patients with medically intractable partial seizures (10 temporal/10 extratemporal). Independently using simple visual assessment and automated detection of HFO, we identified the depth electrode contacts with maximum occurrences of ripples (R) and fast ripples (FR). The SOZ was determined by independent visual identification in standard SEEG recordings, and the congruence of results from visual versus automated HFO detection was compared. Results: Automated detection of HFO correctly identified the SOZ in 14 (R)/10 (FR) out of 20 subjects; a simple visual assessment of SEEG recordings in the appropriate frequency ranges correctly identified the SOZ in 13 (R)/9 (FR) subjects. Conclusions: Simple visual assessment of SEEG traces and standard automated detection of HFO seem to contribute comparably to the identification of the SOZ in patients with focal epilepsies. When using macroelectrodes in neocortical extratemporal epilepsies, the SOZ might be better determined by the ripple range. Significance: Standard automated detection of HFO enables the evaluation of HFO characteristics in whole data. This detection allows general purpose and objective evaluation, without any bias from the neurophysiologist’s experiences and practice
Návaznosti
| ED1.1.00/02.0068, projekt VaV |
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| GAP103/11/0933, projekt VaV |
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| MSM0021622404, záměr |
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