Diagnosis of Autism Spectrum Disorder Using Central-Moment Features From Low- and High-Order Dynamic Resting-State Functional Connectivity Networks

The sliding-window-based dynamic functional connectivity networks (D-FCNs) derived from resting-state functional magnetic resonance imaging (rs-fMRI) are effective methods for diagnosing various neurological diseases, including autism spectrum disorder (ASD). However, traditional D-FCNs are low-orde...

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Detalles Bibliográficos
Autores principales: Zhao, Feng, Chen, Zhiyuan, Rekik, Islem, Lee, Seong-Whan, Shen, Dinggang
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/PMC7198826/
https://www.ncbi.nlm.nih.gov/pubmed/32410930
http://dx.doi.org/10.3389/fnins.2020.00258

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198826/
https://www.ncbi.nlm.nih.gov/pubmed/32410930
http://dx.doi.org/10.3389/fnins.2020.00258

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