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

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

Freezing of gait is a significant and debilitating motor symptom often observed in individuals with Parkinson’s disease. Resting-state functional magnetic resonance imaging, along with its multi-level feature indices, has provided a fresh perspective and valuable insight into the study of freezing o...

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Bibliographic Details
Main Authors: Miaoran Guo, Hu Liu, Long Gao, Hongmei Yu, Yan Ren, Yingmei Li, Huaguang Yang, Chenghao Cao, Guoguang Fan
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2026-04-01
Series:Neural Regeneration Research
Subjects:
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
Online Access:https://journals.lww.com/10.4103/NRR.NRR-D-23-01392
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