Classification of partial seizures based on functional connectivity: A MEG study with support vector machine

Classification of partial seizures based on functional connectivity: A MEG study with support vector machine

Temporal lobe epilepsy (TLE) is a chronic neurological disorder that is divided into two subtypes, complex partial seizures (CPS) and simple partial seizures (SPS), based on clinical phenotypes. Revealing differences among the functional networks of different types of TLE can lead to a better unders...

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Bibliographic Details
Main Authors: Yingwei Wang, Zhongjie Li, Yujin Zhang, Yingming Long, Xinyan Xie, Ting Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Neuroinformatics
Subjects:
temporal lobe epilepsy
resting-state functional connectivity
MEG
machine learning
classification
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2022.934480/full

Internet

https://www.frontiersin.org/articles/10.3389/fninf.2022.934480/full

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