Individual Brain Metabolic Connectome Indicator Based on Jensen-Shannon Divergence Similarity Estimation Predicts Seizure Outcomes of Temporal Lobe Epilepsy

Individual Brain Metabolic Connectome Indicator Based on Jensen-Shannon Divergence Similarity Estimation Predicts Seizure Outcomes of Temporal Lobe Epilepsy

Objective: We aimed to use an individual metabolic connectome method, the Jensen-Shannon Divergence Similarity Estimation (JSSE), to characterize the aberrant connectivity patterns and topological alterations of the individual-level brain metabolic connectome and predict the long-term surgical outco...

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Bibliographic Details
Main Authors: Zehua Zhu, Zhimin Zhang, Xin Gao, Li Feng, Dengming Chen, Zhiquan Yang, Shuo Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
PET
FDG-PET
metabolic connectome
temporal lobe epilepsy
predicts seizure outcomes
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2021.803800/full

Internet

https://www.frontiersin.org/articles/10.3389/fcell.2021.803800/full

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