Identifying Boys With Autism Spectrum Disorder Based on Whole-Brain Resting-State Interregional Functional Connections Using a Boruta-Based Support Vector Machine Approach

An increasing number of resting-state functional magnetic resonance neuroimaging (R-fMRI) studies have used functional connections as discriminative features for machine learning to identify patients with brain diseases. However, it remains unclear which functional connections could serve as highly...

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Detalles Bibliográficos
Autores principales: Zhao, Lei, Sun, Yun-Kai, Xue, Shao-Wei, Luo, Hong, Lu, Xiao-Dong, Zhang, Lan-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901599/
https://www.ncbi.nlm.nih.gov/pubmed/35273487
http://dx.doi.org/10.3389/fninf.2022.761942

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901599/
https://www.ncbi.nlm.nih.gov/pubmed/35273487
http://dx.doi.org/10.3389/fninf.2022.761942

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