Shadows of very high-frequency oscillations can be detected in lower frequency bands of routine stereoelectroencephalography
Jazyk angličtina Země Velká Británie, Anglie Médium electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
36658267
PubMed Central
PMC9852423
DOI
10.1038/s41598-023-27797-9
PII: 10.1038/s41598-023-27797-9
Knihovny.cz E-zdroje
- MeSH
- elektroencefalografie * MeSH
- lidé MeSH
- stereotaktické techniky MeSH
- vyšetření krevní srážlivosti MeSH
- vysokofrekvenční ventilace * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Very high-frequency oscillations (VHFOs, > 500 Hz) are more specific in localizing the epileptogenic zone (EZ) than high-frequency oscillations (HFOs, < 500 Hz). Unfortunately, VHFOs are not visible in standard clinical stereo-EEG (SEEG) recordings with sampling rates of 1 kHz or lower. Here we show that "shadows" of VHFOs can be found in frequencies below 500 Hz and can help us to identify SEEG channels with a higher probability of increased VHFO rates. Subsequent analysis of Logistic regression models on 141 SEEG channels from thirteen patients shows that VHFO "shadows" provide additional information to gold standard HFO analysis and can potentially help in precise EZ delineation in standard clinical recordings.
Institute of Scientific Instruments The Czech Academy of Sciences Brno Czech Republic
International Clinical Research Center St Anne's University Hospital Brno Czech Republic
Zobrazit více v PubMed
Schuele SU, Lüders HO. Intractable epilepsy: Management and therapeutic alternatives. Lancet Neurol. 2008;7:514–524. doi: 10.1016/S1474-4422(08)70108-X. PubMed DOI
Jacobs J, et al. High-frequency oscillations (HFOs) in clinical epilepsy. Prog. Neurobiol. 2012;98:302–315. doi: 10.1016/j.pneurobio.2012.03.001. PubMed DOI PMC
Ryvlin P, Cross JH, Rheims S. Epilepsy surgery in children and adults. Lancet Neurol. 2014;13:1114–1126. doi: 10.1016/S1474-4422(14)70156-5. PubMed DOI
Jehi L. The epileptogenic zone: Concept and definition. Epilepsy Curr. 2018;18:12–16. doi: 10.5698/1535-7597.18.1.12. PubMed DOI PMC
Boling W, Aghakhani Y, Andermann F, Sziklas V, Olivier A. Surgical treatment of independent bitemporal lobe epilepsy defined by invasive recordings. J. Neurol. Neurosurg. Psychiatry. 2009;80:533–538. doi: 10.1136/jnnp.2008.155291. PubMed DOI
Zijlmans M, et al. How to record high-frequency oscillations in epilepsy: A practical guideline. Epilepsia. 2017;58:1305–1315. doi: 10.1111/epi.13814. PubMed DOI
Jacobs J, et al. Removing high-frequency oscillations: A prospective multicenter study on seizure outcome. Neurology. 2018;91:e1040–e1052. doi: 10.1212/WNL.0000000000006158. PubMed DOI PMC
Roehri N, et al. High-frequency oscillations are not better biomarkers of epileptogenic tissues than spikes. Ann. Neurol. 2018;83:84–97. doi: 10.1002/ana.25124. PubMed DOI
Jacobs J, et al. High-frequency electroencephalographic oscillations correlate with outcome of epilepsy surgery. Ann. Neurol. 2010;67:209–220. doi: 10.1002/ana.21847. PubMed DOI PMC
Wu JY, et al. Removing interictal fast ripples on electrocorticography linked with seizure freedom in children. Neurology. 2010;75:1686–1694. doi: 10.1212/WNL.0b013e3181fc27d0. PubMed DOI PMC
Akiyama T, et al. Focal resection of fast ripples on extraoperative intracranial EEG improves seizure outcome in pediatric epilepsy. Epilepsia. 2011;52:1802–1811. doi: 10.1111/j.1528-1167.2011.03199.x. PubMed DOI
Gloss D, Nevitt SJ, Staba R. The role of high-frequency oscillations in epilepsy surgery planning. Cochrane Database Syst. Rev. 2017;10:CD010235. PubMed PMC
Usui N, et al. Significance of very-high-frequency oscillations (over 1,000 Hz) in epilepsy. Ann. Neurol. 2015;78:295–302. doi: 10.1002/ana.24440. PubMed DOI
Brázdil M, et al. Very high-frequency oscillations: Novel biomarkers of the epileptogenic zone. Ann. Neurol. 2017;82:299–310. doi: 10.1002/ana.25006. PubMed DOI
Serafini R. Similarities and differences between the interictal epileptiform discharges of green-spikes and red-spikes zones of human neocortex. Clin. Neurophysiol. 2019;130:396–405. doi: 10.1016/j.clinph.2018.12.011. PubMed DOI
Engel J. Update on surgical treatment of the epilepsies. Summary of the Second International Palm Desert Conference on the Surgical Treatment of the Epilepsies (1992) Neurology. 1993;43:1612–1617. doi: 10.1212/WNL.43.8.1612. PubMed DOI
Talairach J, Szikla G, Tournoux P, Prossalentis A, Bordas-Ferrer M, Covello L, Iacob M, Mempel E. Atlas d’anatomie stéréotaxique du télencéphale; études anatomo-radiologiques. Masson; 1967.
Plesinger F, Jurco J, Halamek J, Jurak P. SignalPlant: An open signal processing software platform. Physiol. Meas. 2016;37:N38–48. doi: 10.1088/0967-3334/37/7/N38. PubMed DOI
Gardner AB, Worrell GA, Marsh E, Dlugos D, Litt B. Human and automated detection of high-frequency oscillations in clinical intracranial EEG recordings. Clin. Neurophysiol. 2007;118:1134–1143. doi: 10.1016/j.clinph.2006.12.019. PubMed DOI PMC
Hahn SL. Comments on “A tabulation of Hilbert transforms for electrical engineers”. IEEE Trans. Commun. 1996;44:768. doi: 10.1109/26.508291. DOI
Polat, H. & Ozerdem, M. S. Epileptic seizure detection from EEG signals by using wavelet and Hilbert transform. In 2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH) 66–69 (IEEE, 2016). 10.1109/MEMSTECH.2016.7507522.
Lin J. Divergence measures based on the Shannon entropy. IEEE Trans. Inform. Theory. 1991;37:145–151. doi: 10.1109/18.61115. DOI
Kannathal N, Choo ML, Acharya UR, Sadasivan PK. Entropies for detection of epilepsy in EEG. Comput. Methods Programs Biomed. 2005;80:187–194. doi: 10.1016/j.cmpb.2005.06.012. PubMed DOI
Kaiser, J. F. On a simple algorithm to calculate the “energy” of a signal. In International Conference on Acoustics, Speech, and Signal Processing 381–384 (IEEE, 1990). 10.1109/ICASSP.1990.115702.
Badani, S., Saha, S., Kumar, A., Chatterjee, S. & Bose, R. Detection of epilepsy based on discrete wavelet transform and Teager–Kaiser energy operator. In 2017 IEEE Calcutta Conference (CALCON) 164–167 (IEEE, 2017). 10.1109/CALCON.2017.8280717.
Welch P. The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms. IEEE Trans. Audio Electroacoust. 1967;15:70–73. doi: 10.1109/TAU.1967.1161901. DOI