Machine Learning for Predicting Individual Severity of Blepharospasm Using Diffusion Tensor Imaging

Machine Learning for Predicting Individual Severity of Blepharospasm Using Diffusion Tensor Imaging

Accumulating diffusion tensor imaging (DTI) evidence suggests that white matter abnormalities evaluated by local diffusion homogeneity (LDH) or fractional anisotropy (FA) occur in patients with blepharospasm (BSP), both of which are significantly correlated with disease severity. However, whether th...

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Bibliographic Details
Main Authors: Gang Liu, Yanan Gao, Ying Liu, Yaomin Guo, Zhicong Yan, Zilin Ou, Linchang Zhong, Chuanmiao Xie, Jinsheng Zeng, Weixi Zhang, Kangqiang Peng, Qingwen Lv
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Neuroscience
Subjects:
blepharospasm
fractional anisotropy
Jankovic Rating Scale
local diffusion homogeneity
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.670475/full

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https://www.frontiersin.org/articles/10.3389/fnins.2021.670475/full

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