Identification of epileptic networks with graph convolutional network incorporating oscillatory activities and evoked synaptic responses-Reference-Cited by-同舟云学术

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Identification of epileptic networks with graph convolutional network incorporating oscillatory activities and evoked synaptic responses

Published:2023-12 Issue: Volume:284 Page:120439
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Dou Yonglin,Xia Jing,Fu Mengmeng,Cai Yunpeng,Meng Xianghong,Zhan Yang^ORCID

Funder

Ministry of Science and Technology of the People's Republic of China

Shenzhen Science and Technology Innovation Committee

Sanming Project of Medicine in Shenzhen

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference67 articles.

1. Cortical feature analysis and machine learning improves detection of "MRI-negative" focal cortical dysplasia;Ahmed;Epilepsy Behav.,2015

2. Epileptogenicity of brain structures in human temporal lobe epilepsy: a quantified study from intracerebral EEG;Bartolomei;Brain,2008

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

4. FLAIR-wise machine-learning classification and lateralization of MRI-negative F-18-FDG PET-positive temporal lobe Epilepsy;Beheshti;Front. Neurol.,2020

5. Controlling the false discovery rate - a practical and powerfull approach to multiple testing;Benjamini;J. R. Stat.Soc. Ser. B-Stat. Methodol.,1995

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