Identification and Therapeutic Outcome Prediction of Cervical Spondylotic Myelopathy Based on the Functional Connectivity From Resting-State Functional MRI Data: A Preliminary Machine Learning Study

Identification and Therapeutic Outcome Prediction of Cervical Spondylotic Myelopathy Based on the Functional Connectivity From Resting-State Functional MRI Data: A Preliminary Machine Learning Study

Currently, strategies to diagnose patients and predict neurological recovery in cervical spondylotic myelopathy (CSM) using MR images of the cervical spine are urgently required. In light of this, this study aimed at exploring potential preoperative brain biomarkers that can be used to diagnose and...

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Bibliographic Details
Main Authors: Qian Su, Rui Zhao, ShuoWen Wang, HaoYang Tu, Xing Guo, Fan Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Neurology
Subjects:
rs-fMRI
machine learning
cervical spondylotic myelopathy
support vector machine
functional connectivity
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2021.711880/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2021.711880/full

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