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A radiomics approach for predicting gait freezing in Parkinson's disease based on resting-state functional magnetic resonance imaging indices:A cross-sectional study

Miaoran Guo Hu Liu Long Gao Hongmei Yu Yan Ren Yingmei Li Huaguang Yang Chenghao Cao Guoguang Fan

Neural Regeneration Research2026，Vol.21Issue(4)：P.1621-1627,7.

Neural Regeneration Research2026，Vol.21Issue(4)：P.1621-1627,7.DOI:10.4103/NRR.NRR-D-23-01392

A radiomics approach for predicting gait freezing in Parkinson's disease based on resting-state functional magnetic resonance imaging indices:A cross-sectional study

Miaoran Guo ¹Hu Liu ¹Long Gao ²Hongmei Yu ³Yan Ren ³Yingmei Li ¹Huaguang Yang ⁴Chenghao Cao ⁵Guoguang Fan¹

作者信息

1. Department of Radiology,The First Affiliated Hospital of China Medical University,Shenyang,Liaoning Province,China
2. College of Computer,National University of Defense Technology,Changsha,Hunan Province,China
3. Department of Neurology,The First Affiliated Hospital of China Medical University,Shenyang,Liaoning Province,China
4. Department of Radiology,Renmin Hospital of Wuhan University,Wuhan,Hubei Province,China
5. Department of Radiology,West China Hospital of Sichuan University,Chengdu,Sichuan Province,China
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摘要

关键词

amplitude of low-frequency fluctuation/degree centrality/feedforward neural network/freezing of gait/machine learning/parahippocampal gyrus/Parkinson''s disease/receiver operating characteristic/regional homogeneity/resting-state functional magnetic resonance imaging

分类

医药卫生

引用本文复制引用

Miaoran Guo,Hu Liu,Long Gao,Hongmei Yu,Yan Ren,Yingmei Li,Huaguang Yang,Chenghao Cao,Guoguang Fan..A radiomics approach for predicting gait freezing in Parkinson's disease based on resting-state functional magnetic resonance imaging indices:A cross-sectional study[J].Neural Regeneration Research,2026,21(4):P.1621-1627,7.

基金项目

supported by the National Natural Science Foundation of China,No.82071909(to GF) （to GF）

the Natural Science Foundation of Liaoning Province,No.2023-MS-07(to HL)。（to HL）

Neural Regeneration Research

ISSN：1673-5374

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