A relation between stereoelectroencephalography parameters and focal drug-resistant epilepsy surgery outcomes
M. A. Biyakaeva,
E. A. Gordeyeva,
A. D. Lukasheva,
N. P. Utyashev,
A. A. Utyasheva,
N. V. Pedyash,
A. A. Zuev https://doi.org/10.17749/2077-8333/epi.par.con.2025.253
Abstract
Background. Stereoelectroencephalography (stereo-EEG) parameters may be predictors of surgical treatment outcomes in patients with focal drug-resistant epilepsy (fDRE).
Objective: To assess a relationship between stereo-EEG parameters and surgical treatment for fDRE outcome.
Material and methods. The stereo-EEG parameters were retrospectively evaluated in fDRE patients examined in 2016–2020. We reviewed the following parameters: patient’s gender, age at stereo-EEG examination, lesion presence and lateralization on magnetic resonance images, seizure onset zone localization and size, seizure pattern type, latency and propagation. These parameter-related effect on surgical treatment outcomes in fDRE patients were analyzed.
Results. The outcome of surgical treatment was found to depend on the size of epileptic seizure onset zone (p=0.002). No other analyzed parameters appeared to have an impact on epilepsy surgery outcome.
Conclusion. Size of seizure onset zone represent a sole stereo-EEG parameter affecting fDRE surgical treatment outcome.
About the Authors
M. A. Biyakaeva
Pirogov National Medical and Surgical Center
Russian Federation
Russian Federation
Madina A. Biyakaeva
70 Nizhnyaya Pervomayskaya Str., Moscow 105203
E. A. Gordeyeva
Pirogov National Medical and Surgical Center
Russian Federation
Russian Federation
Elizaveta A. Gordeyeva
WoS ResearcherID: S-5582-2018
Scopus ID: 57217866313
70 Nizhnyaya Pervomayskaya Str., Moscow 105203
A. D. Lukasheva
Pirogov National Medical and Surgical Center
Russian Federation
Russian Federation
Aleksandra D. Lukasheva
70 Nizhnyaya Pervomayskaya Str., Moscow 105203
N. P. Utyashev
Pirogov National Medical and Surgical Center
Russian Federation
Russian Federation
Nikita P. Utyashev
WoS ResearcherID: IST-9700-2023
Scopus Author ID: 57786938400
70 Nizhnyaya Pervomayskaya Str., Moscow 105203
A. A. Utyasheva
Pirogov National Medical and Surgical Center
Russian Federation
Russian Federation
Anna A. Utyasheva
70 Nizhnyaya Pervomayskaya Str., Moscow 105203
N. V. Pedyash
Pirogov National Medical and Surgical Center
Russian Federation
Russian Federation
Nikita V. Pedyash
70 Nizhnyaya Pervomayskaya Str., Moscow 105203
A. A. Zuev
Pirogov National Medical and Surgical Center
Russian Federation
Russian Federation
Andrey A. Zuev, Dr. Sci. Med., Prof.
Scopus Author ID: 26424155600
70 Nizhnyaya Pervomayskaya Str., Moscow 105203
References
1. Jayakar P., Gotman J., Harvey A.S., et al. Diagnostic utility of invasive EEG for epilepsy surgery: indications, modalities, and techniques. Epilepsia. 2016; 57 (11): 1735–47. https://doi.org/10.1111/epi.13515.
2. Remick M., Ibrahim G.M., Mansouri A., Abel T.J. Patient phenotypes and clinical outcomes in invasive monitoring for epilepsy: an individual patient data meta-analysis. Epilepsy Behav. 2020; 102: 106652. https://doi.org/10.1016/j.yebeh.2019.106652.
3. Stefanits H., Hengsberger A., Gruber A., et al. Invasive EEG in nonlesional epilepsy. Clin Epileptol. 2023; 36: 117–123 (in German). https://doi.org/10.1007/s10309-023-00575-3.
4. Cui D., Gao R., Xu C., et al. Ictal onset stereoelectroencephalography patterns in temporal lobe epilepsy: type, distribution, and prognostic value. Acta Neurochir. 2022; 164 (2): 555–63. https://doi.org/10.1007/s00701-022-05122-z.
5. Makaram N., von Ellenrieder N., Tanaka H., Gotman J. Automated classification of five seizure onset patterns from intracranial electroencephalogram signals. Clin Neurophysiol. 2020; 131 (6): 1210–8. https://doi.org/10.1016/j.clinph.2020.02.011.
6. Feng R., Farrukh Hameed N.U., Hu J., et al. Ictal stereoelectroencephalography onset patterns of mesial temporal lobe epilepsy and their clinical implications. Clin Neurophysiol. 2020; 131 (9): 2079–85. https://doi.org/10.1016/j.clinph.2020.05.033.
7. Abdallah C., Mansilla D., Minato E., et al. Systematic review of seizureonset patterns in stereo-electroencephalography: current state and future directions. Clin Neurophysiol. 2024; 163: 112–23. https://doi.org/10.1016/j.clinph.2024.04.016.
8. Lagarde S., Buzori S., Trebuchon A., et al. The repertoire of seizure onset patterns in human focal epilepsies: determinants and prognostic values. Epilepsia. 2019; 60 (1): 85–95. https://doi.org/10.1111/epi.14604.
9. Di Giacomo R., Uribe-San-Martin R., Mai R., et al. Stereo-EEG ictal/ interictal patterns and underlying pathologies. Seizure. 2019; 72: 54– 60. https://doi.org/10.1016/j.seizure.2019.10.001.
10. Michalak A.J., Greenblatt A., Wu S., et al. Seizure onset patterns predict outcome after stereo-electroencephalography-guided laser amygdalohippocampotomy. Epilepsia. 2023; 64 (6): 1568–81. https://doi.org/10.1111/epi.17602.
11. Miecznikowski K.B., Leach J., Rozhkov L., et al. Impact of seizure onset zone and intracranial electroencephalography ictal characteristics on epilepsy surgery outcomes in tuberous sclerosis complex. Epilepsy Res. 2024; 205: 107422. https://doi.org/10.1016/j.eplepsyres.2024.107422.
12. Cai D., Wang X., Hu W., et al. SEEG seizure onset patterns in mesial temporal lobe epilepsy: a cohort study with 76 patients. Neurophysiol Clin. 2025; 55 (1): 103040. https://doi.org/10.1016/j.neucli.2024.103040.
13. Campora N., Princich J.P., Nasimbera A., et al. Stereo-EEG features of temporal and frontal lobe seizures with loss of consciousness. Neurosci Conscious. 2024; 2024 (1): niae003. https://doi.org/10.1093/nc/niae003.
14. Perucca P., Dubeau F., Gotman J. Intracranial electroencephalographic seizure-onset patterns: effect of underlying pathology. Brain. 2014; 137 (Pt 1): 183–96. https://doi.org/10.1093/brain/awt299.
15. Lagarde S., Bonini F., McGonigal A., et al. Seizure-onset patterns in focal cortical dysplasia and neurodevelopmental tumors: relationship with surgical prognosis and neuropathologic subtypes. Epilepsia. 2016; 57 (9): 1426–35. https://doi.org/10.1111/epi.13464.
16. Engel J. (Ed.) Surgical treatment of epilepsies. 2nd ed. Raven Press; 1993: 786 pp.
17. Steinbart D., Steinbrenner M., Oltmanns F., Holtkamp M. Prediction of seizure freedom after epilepsy surgery – critical reappraisal of significance of intracranial EEG parameters. Clin Neurophysiol. 2020; 131 (11): 2682–90. https://doi.org/10.1016/j.clinph.2020.08.018.
18. Kim D.W., Kim H.K., Lee S.K., et al. Extent of neocortical resection and surgical outcome of epilepsy: intracranial EEG analysis. Epilepsia. 2010; 51 (6): 1010–7. https://doi.org/10.1111/j.1528-1167.2010.02567.x.
19. Singh S., Sandy S., Wiebe S. Ictal onset on intracranial EEG: do we know it when we see it? State of the evidence. Epilepsia. 2015; 56 (10): 1629–38. https://doi.org/10.1111/epi.13120.
20. Jiménez-Jiménez D., Nekkare R., Flores L., et al. Prognostic value of intracranial seizure onset patterns for surgical outcome of the treatment of epilepsy. Clin Neurophysiol. 2015; 126 (2): 257–67. https://doi.org/10.1016/j.clinph.2014.06.005.
Review
For citations:
Biyakaeva M.A., Gordeyeva E.A., Lukasheva A.D., Utyashev N.P., Utyasheva A.A., Pedyash N.V., Zuev A.A. A relation between stereoelectroencephalography parameters and focal drug-resistant epilepsy surgery outcomes. Epilepsy and paroxysmal conditions. 2025;17(4):371-383. (In Russ.) https://doi.org/10.17749/2077-8333/epi.par.con.2025.253
Views:
20
JATS XML
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Email this article 
