Hierarchical Individual Naturalistic Functional Brain Networks with Group Consistency Uncovered by a Two-Stage NAS-Volumetric Sparse DBN Framework

The functional magnetic resonance imaging under naturalistic paradigm (NfMRI) showed great advantages in identifying complex and interactive functional brain networks (FBNs) because of its dynamics and multimodal information. In recent years, various deep learning models, such as deep convolutional...

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Detalles Bibliográficos
Autores principales: Xu, Shuhan, Ren, Yudan, Tao, Zeyang, Song, Limei, He, Xiaowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2022
Materias:
Research Article: Methods/New Tools
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463984/
https://www.ncbi.nlm.nih.gov/pubmed/35995557
http://dx.doi.org/10.1523/ENEURO.0200-22.2022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463984/
https://www.ncbi.nlm.nih.gov/pubmed/35995557
http://dx.doi.org/10.1523/ENEURO.0200-22.2022

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