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Detection of pathological high-frequency oscillations in refractory epilepsy patients undergoing simultaneous stereo-electroencephalography and magnetoencephalography.
Vasilica, Anca-Mihaela; Litvak, Vladimir; Cao, Chunyan; Walker, Matthew; Vivekananda, Umesh.
Afiliación
  • Vasilica AM; University College London Medical School, London, United Kingdom. Electronic address: anca.vasilic.19@ucl.ac.uk.
  • Litvak V; Wellcome Centre for Human Neuroimaging, UCL, Queen Square, London, WC1N 3AR, United Kingdom.
  • Cao C; Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai 200025, China.
  • Walker M; Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom.
  • Vivekananda U; Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom.
Seizure ; 107: 81-90, 2023 Apr.
Article en En | MEDLINE | ID: mdl-36996757
BACKGROUND: Stereo-electroencephalography (SEEG) and magnetoencephalography (MEG) have generally been used independently as part of the pre-surgical evaluation of drug-resistant epilepsy (DRE) patients. However, the possibility of simultaneously employing these recording techniques to determine whether MEG has the potential of offering the same information as SEEG less invasively, or whether it could offer a greater spatial indication of the epileptogenic zone (EZ) to aid surgical planning, has not been previously evaluated. METHODS: Data from 24 paediatric and adult DRE patients, undergoing simultaneous SEEG and MEG as part of their pre-surgical evaluation, was analysed employing manual and automated high-frequency oscillations (HFOs) detection, and spectral and source localisation analyses. RESULTS: Twelve patients (50%) were included in the analysis (4 males; mean age=25.08 years) and showed interictal SEEG and MEG HFOs. HFOs detection was concordant between the two recording modalities, but SEEG displayed higher ability of differentiating between deep and superficial epileptogenic sources. Automated HFO detector in MEG recordings was validated against the manual MEG detection method. Spectral analysis revealed that SEEG and MEG detect distinct epileptic events. The EZ was well correlated with the simultaneously recorded data in 50% patients, while 25% patients displayed poor correlation or discordance. CONCLUSION: MEG recordings can detect HFOs, and simultaneous use of SEEG and MEG HFO identification facilitates EZ localisation during the presurgical planning stage for DRE patients. Further studies are necessary to validate these findings and support the translation of automated HFO detectors into routine clinical practice.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Epilepsia / Epilepsia Refractaria Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Adult / Child / Humans / Male Idioma: En Revista: Seizure Asunto de la revista: NEUROLOGIA Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Epilepsia / Epilepsia Refractaria Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Adult / Child / Humans / Male Idioma: En Revista: Seizure Asunto de la revista: NEUROLOGIA Año: 2023 Tipo del documento: Article
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