Reconstructing lost BOLD signal in individual participants using deep machine learning

Signal loss in blood oxygen level-dependent (BOLD) functional neuroimaging is common and can lead to misinterpretation of findings. Here, we reconstructed compromised fMRI signal using deep machine learning. We trained a model to learn principles governing BOLD activity in one dataset and reconstruc...

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Detalles Bibliográficos
Autores principales: Yan, Yuxiang, Dahmani, Louisa, Ren, Jianxun, Shen, Lunhao, Peng, Xiaolong, Wang, Ruiqi, He, Changgeng, Jiang, Changqing, Gong, Chen, Tian, Ye, Zhang, Jianguo, Guo, Yi, Lin, Yuanxiang, Li, Shijun, Wang, Meiyun, Li, Luming, Hong, Bo, Liu, Hesheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542429/
https://www.ncbi.nlm.nih.gov/pubmed/33028816
http://dx.doi.org/10.1038/s41467-020-18823-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542429/
https://www.ncbi.nlm.nih.gov/pubmed/33028816
http://dx.doi.org/10.1038/s41467-020-18823-9

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