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

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