Works by Li, Yingmei (exact spelling)

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  1.  10
    Identifying and validating subtypes of Parkinson's disease based on multimodal MRI data via hierarchical clustering analysis.Kaiqiang Cao, Huize Pang, Hongmei Yu, Yingmei Li, Miaoran Guo, Yu Liu & Guoguang Fan - 2022 - Frontiers in Human Neuroscience 16.
    ObjectiveWe wished to explore Parkinson's disease subtypes by clustering analysis based on the multimodal magnetic resonance imaging indices amplitude of low-frequency fluctuation and gray matter volume. Then, we analyzed the differences between PD subtypes.MethodsEighty-six PD patients and 44 healthy controls were recruited. We extracted ALFF and GMV according to the Anatomical Automatic Labeling partition using Data Processing and Analysis for Brain Imaging software. The Ward linkage method was used for hierarchical clustering analysis. DPABI was employed to compare differences in ALFF (...)
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  2.  10
    Morphological Changes in Cortical and Subcortical Structures in Multiple System Atrophy Patients With Mild Cognitive Impairment.Chenghao Cao, Qi Wang, Hongmei Yu, Huaguang Yang, Yingmei Li, Miaoran Guo, Huaibi Huo & Guoguang Fan - 2021 - Frontiers in Human Neuroscience 15.
    ObjectiveThis study aimed to investigate the morphometric alterations in the cortical and subcortical structures in multiple system atrophy patients with mild cognitive impairment, and to explore the association with cognitive deficits.MethodsA total of 45 MSA patients and 29 healthy controls were recruited. FreeSurfer software was used to analyze cortical thickness, and voxel-based morphometry was used to analyze the gray matter volumes. Cortical thickness and gray matter volume changes were correlated with cognitive scores.ResultsCompared to healthy controls, both MSA subgroups exhibited widespread (...)
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