Interictal invasive very high-frequency oscillations in resting awake state and sleep
Jazyk angličtina Země Anglie, Velká Británie Médium electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
37932365
PubMed Central
PMC10628183
DOI
10.1038/s41598-023-46024-z
PII: 10.1038/s41598-023-46024-z
Knihovny.cz E-zdroje
- MeSH
- bdění MeSH
- elektroencefalografie metody MeSH
- epilepsie * MeSH
- lidé MeSH
- refrakterní epilepsie * chirurgie MeSH
- spánek MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Interictal very high-frequency oscillations (VHFOs, 500-2000 Hz) in a resting awake state seem to be, according to a precedent study of our team, a more specific predictor of a good outcome of the epilepsy surgery compared to traditional interictal high-frequency oscillations (HFOs, 80-500 Hz). In this study, we retested this hypothesis on a larger cohort of patients. In addition, we also collected patients' sleep data and hypothesized that the occurrence of VHFOs in sleep will be greater than in resting state. We recorded interictal invasive electroencephalographic (iEEG) oscillations in 104 patients with drug-resistant epilepsy in a resting state and in 35 patients during sleep. 21 patients in the rest study and 11 patients in the sleep study met the inclusion criteria (interictal HFOs and VHFOs present in iEEG recordings, a surgical intervention and a postoperative follow-up of at least 1 year) for further evaluation of iEEG data. In the rest study, patients with good postoperative outcomes had significantly higher ratio of resected contacts with VHFOs compared to HFOs. In sleep, VHFOs were more abundant than in rest and the percentage of resected contacts in patients with good and poor outcomes did not considerably differ in any type of oscillations. In conclusion, (1) our results confirm, in a larger patient cohort, our previous work about VHFOs being a specific predictor of the area which needs to be resected; and (2) that more frequent sleep VHFOs do not further improve the results.
Central European Institute of Technology Masaryk University Brno 602 00 Czech Republic
Institute of Scientific Instruments Czech Academy of Sciences Brno 602 00 Czech Republic
International Clinical Research Center St Anne's University Hospital Brno 602 00 Czech Republic
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Feindel W, Leblanc R, de Almeida AN. Epilepsy surgery: Historical highlights 1909–2009. Epilepsia. 2009;50:131–151. doi: 10.1111/j.1528-1167.2009.02043.x. PubMed DOI
Téllez-Zenteno JF, Hernández Ronquillo L, Moien-Afshari F, Wiebe S. Surgical outcomes in lesional and non-lesional epilepsy: A systematic review and meta-analysis. Epilepsy Res. 2010;89:310–318. doi: 10.1016/j.eplepsyres.2010.02.007. PubMed DOI
Rosenow F, Lüders H. Presurgical evaluation of epilepsy. Brain J. Neurol. 2001;124:1683–1700. doi: 10.1093/brain/124.9.1683. PubMed DOI
Gliske SV, Stacey WC. The BEST conceivable way to talk about epilepsy biomarkers. Epilepsy Curr. 2023;23:175–178. doi: 10.1177/15357597231159714. PubMed DOI PMC
Jacobs J, et al. Interictal high-frequency oscillations (80–500 Hz) are an indicator of seizure onset areas independent of spikes in the human epileptic brain. Epilepsia. 2008;49:1893–1907. doi: 10.1111/j.1528-1167.2008.01656.x. PubMed DOI PMC
Worrell GA, et al. High-frequency oscillations in human temporal lobe: Simultaneous microwire and clinical macroelectrode recordings. Brain J. Neurol. 2008;131:928–937. doi: 10.1093/brain/awn006. 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
Cho JR, et al. Resection of individually identified high-rate high-frequency oscillations region is associated with favorable outcome in neocortical epilepsy. Epilepsia. 2014;55:1872–1883. doi: 10.1111/epi.12808. PubMed DOI
Noorlag L, et al. High-frequency oscillations in scalp EEG: A systematic review of methodological choices and clinical findings. Clin. Neurophysiol. 2022;137:46–58. doi: 10.1016/j.clinph.2021.12.017. PubMed DOI
Zweiphenning W, et al. Intraoperative electrocorticography using high-frequency oscillations or spikes to tailor epilepsy surgery in the Netherlands (the HFO trial): A randomised, single-blind, adaptive non-inferiority trial. Lancet Neurol. 2022;21:982–993. doi: 10.1016/S1474-4422(22)00311-8. PubMed DOI PMC
Usui N, et al. Very high frequency oscillations (over 1000Hz) in human epilepsy. Clin. Neurophysiol. 2010;121:1825–1831. doi: 10.1016/j.clinph.2010.04.018. 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
Proposal for Revised Classification of Epilepsies and Epileptic Syndromes. Commission on Classification and Terminology of the International League Against Epilepsy. Epilepsia30, 389–399 (1989). PubMed
Plesinger F, Jurčo J, Halamek J, Jurak P. SignalPlant: An open signal processing software platform. Physiol. Meas. 2016;37:N38. doi: 10.1088/0967-3334/37/7/N38. PubMed DOI
Engel Surgical Outcome Scale—MGH Epilepsy Service. seizure.mgh.harvard.edu. https://seizure.mgh.harvard.edu/engel-surgical-outcome-scale/.
Berry RB, et al. AASM scoring manual updates for 2017 (Version 24) J. Clin. Sleep Med. 2017;13:665–666. doi: 10.5664/jcsm.6576. PubMed DOI PMC
Worrell GA, et al. High-frequency oscillations and seizure generation in neocortical epilepsy. Brain. 2004;127:1496–1506. doi: 10.1093/brain/awh149. PubMed DOI
Blanco JA, et al. Data mining neocortical high-frequency oscillations in epilepsy and controls. Brain. 2011;134:2948–2959. doi: 10.1093/brain/awr212. PubMed DOI PMC
Buzsáki G, da Silva FL. High frequency oscillations in the intact brain. Prog. Neurobiol. 2012;98:241–249. doi: 10.1016/j.pneurobio.2012.02.004. PubMed DOI PMC
Staba RJ, Wilson CL, Bragin A, Fried I, Engel J. Quantitative analysis of high-frequency oscillations (80–500 Hz) recorded in human epileptic hippocampus and entorhinal cortex. J. Neurophysiol. 2002;88:1743–1752. doi: 10.1152/jn.2002.88.4.1743. PubMed DOI
Nonoda Y, et al. Interictal high-frequency oscillations generated by seizure onset and eloquent areas may be differentially coupled with different slow waves. Clin. Neurophysiol. Off. J. Int. Fed. Clin. Neurophysiol. 2016;127:2489–2499. doi: 10.1016/j.clinph.2016.03.022. PubMed DOI PMC
Sakura Y, et al. Very high-frequency oscillations (over 1000 Hz) of somatosensory-evoked potentials directly recorded from the human brain. J. Clin. Neurophysiol. Off. Publ. Am. Electroencephalogr. Soc. 2009;26:414–421. PubMed
Cao, D. et al. Characteristics of very high frequency oscillations of somatosensory evoked potentials in humans with epilepsy. Neurol. Asia (2014).
Bragin A, Wilson CL, Engel J., Jr Voltage depth profiles of high-frequency oscillations after kainic acid-induced status epilepticus. Epilepsia. 2007;48:35–40. doi: 10.1111/j.1528-1167.2007.01287.x. PubMed DOI
Jiruska P, et al. Synchronization and desynchronization in epilepsy: Controversies and hypotheses. J. Physiol. 2013;591:787–797. doi: 10.1113/jphysiol.2012.239590. PubMed DOI PMC
Liu S, et al. Stereotyped high-frequency oscillations discriminate seizure onset zones and critical functional cortex in focal epilepsy. Brain. 2018;141:713–730. doi: 10.1093/brain/awx374. PubMed DOI PMC
Cimbalnik J, et al. Multi-feature localization of epileptic foci from interictal, intracranial EEG. Clin. Neurophysiol. Off. J. Int. Fed. Clin. Neurophysiol. 2019;130:1945–1953. doi: 10.1016/j.clinph.2019.07.024. PubMed DOI PMC
von Ellenrieder N, Dubeau F, Gotman J, Frauscher B. Physiological and pathological high-frequency oscillations have distinct sleep-homeostatic properties. NeuroImage Clin. 2017;14:566–573. doi: 10.1016/j.nicl.2017.02.018. PubMed DOI PMC
Chaibi S, Sakka Z, Lajnef T, Samet M, Kachouri A. Automated detection and classification of high frequency oscillations (HFOs) in human intracereberal EEG. Biomed. Signal Process. Control. 2013;8:927–934. doi: 10.1016/j.bspc.2013.08.009. DOI
Hoeller P, Trinka E, Hoeller Y. MEEGIPS-A modular EEG investigation and processing system for visual and automated detection of high frequency oscillations. Front. Neuroinformatics. 2019;13:20. doi: 10.3389/fninf.2019.00020. PubMed DOI PMC
Cimbalnik J, Hewitt A, Worrell G, Stead M. The CS algorithm: A novel method for high frequency oscillation detection in EEG. J. Neurosci. Methods. 2018;293:6–16. doi: 10.1016/j.jneumeth.2017.08.023. PubMed DOI PMC