Machine learning-based classification of physiological and pathological high-frequency oscillations recorded by stereoelectroencephalography-Reference-Cited by-同舟云学术

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Machine learning-based classification of physiological and pathological high-frequency oscillations recorded by stereoelectroencephalography

Published:2023-12 Issue: Volume:113 Page:58-65
ISSN:1059-1311
Container-title:Seizure: European Journal of Epilepsy
language:en
Short-container-title:Seizure: European Journal of Epilepsy

Author:

Li Zilin^ORCID,Zhao Baotian,Hu Wenhan,Zhang Chao,Wang Xiu,Zhang Jianguo,Zhang Kai^ORCID

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Neurology (clinical),Neurology,General Medicine

Reference43 articles.

1. Early identification of refractory epilepsy;Kwan;N Engl J Med,2000

2. Changing concepts in presurgical assessment for epilepsy surgery;Zijlmans;Nat Rev Neurol,2019

3. Multimodal prognostic features of seizure freedom in epilepsy surgery;Alim-Marvasti;J Neurol Neurosurg Psychiatry,2022

4. Defining epileptogenic networks: contribution of SEEG and signal analysis;Bartolomei;Epilepsia,2017

5. Epilepsy surgery near or in eloquent cortex in children-Practice patterns and recommendations for minimizing and reporting deficits;Jayakar;Epilepsia,2018

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