A Radiomics Approach to Predicting Parkinson’s Disease by Incorporating Whole-Brain Functional Activity and Gray Matter Structure

Parkinson’s disease (PD) is a progressive, chronic, and neurodegenerative disorder that is primarily diagnosed by clinical examinations and magnetic resonance imaging (MRI). In this study, we proposed a machine learning based radiomics method to predict PD. Fifty healthy controls (HC) along with 70...

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Detalles Bibliográficos
Autores principales: Cao, Xuan, Wang, Xiao, Xue, Chen, Zhang, Shaojun, Huang, Qingling, Liu, Weiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7373781/
https://www.ncbi.nlm.nih.gov/pubmed/32760248
http://dx.doi.org/10.3389/fnins.2020.00751

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7373781/
https://www.ncbi.nlm.nih.gov/pubmed/32760248
http://dx.doi.org/10.3389/fnins.2020.00751

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