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Updated: Sep 10, 2025

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
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Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

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[基于机器学习的部子亚型分类和使用PET代谢网络的外科预后评估]

H Y Zhu1, L Xiao2, B Xiao3

  • 1Department of Geriatric, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha 410005, China Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, China.

Zhonghua yi xue za zhi
|August 24, 2025
PubMed
概括

使用18F-FDGPET扫描的脑代谢网络特征的机器学习模型准确地分类叶 (TLE) 亚型并预测手术结果. 这些先进的算法提高了TLE患者的临床决策能力.

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Anteromesial Temporal Lobectomy for Medically Intractable Temporal Lobe Epilepsy: An Operative Study11:29

Anteromesial Temporal Lobectomy for Medically Intractable Temporal Lobe Epilepsy: An Operative Study

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Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization09:57

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

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相关概念视频

Seizures: Classification01:13

Seizures: Classification

Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:
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