Identification of Resting-State Network Functional Connectivity and Brain Structural Signatures in Fibromyalgia Using a Machine Learning Approach

Abnormal resting-state functional connectivity (rs-FC) and brain structure have emerged as pathological hallmarks of fibromyalgia (FM). This study investigated and compared the accuracy of network rs-FC and brain structural features in identifying FM with a machine learning (ML) approach. Twenty-six...

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Detalles Bibliográficos
Autores principales: Thanh Nhu, Nguyen, Chen, David Yen-Ting, Kang, Jiunn-Horng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775534/
https://www.ncbi.nlm.nih.gov/pubmed/36551758
http://dx.doi.org/10.3390/biomedicines10123002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775534/
https://www.ncbi.nlm.nih.gov/pubmed/36551758
http://dx.doi.org/10.3390/biomedicines10123002

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