Identifying and validating subtypes of Parkinson's disease based on multimodal MRI data via hierarchical clustering analysis

OBJECTIVE: We wished to explore Parkinson's disease (PD) subtypes by clustering analysis based on the multimodal magnetic resonance imaging (MRI) indices amplitude of low-frequency fluctuation (ALFF) and gray matter volume (GMV). Then, we analyzed the differences between PD subtypes. METHODS: E...

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Detalles Bibliográficos
Autores principales: Cao, Kaiqiang, Pang, Huize, Yu, Hongmei, Li, Yingmei, Guo, Miaoran, Liu, Yu, Fan, Guoguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Human Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372337/
https://www.ncbi.nlm.nih.gov/pubmed/35966989
http://dx.doi.org/10.3389/fnhum.2022.919081

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372337/
https://www.ncbi.nlm.nih.gov/pubmed/35966989
http://dx.doi.org/10.3389/fnhum.2022.919081

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