Reconstructing lost BOLD signal in individual participants using deep machine learning

Reconstructing lost BOLD signal in individual participants using deep machine learning

Signal loss in blood oxygen level‐dependent (BOLD) fMRI can lead to misinterpretation of findings. The authors trained a deep learning model to reconstruct compromised BOLD signal in datasets from healthy participants and in patients whose scans suffered signal loss due to intracortical electrodes....

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Bibliographic Details
Main Authors: Yuxiang Yan, Louisa Dahmani, Jianxun Ren, Lunhao Shen, Xiaolong Peng, Ruiqi Wang, Changgeng He, Changqing Jiang, Chen Gong, Ye Tian, Jianguo Zhang, Yi Guo, Yuanxiang Lin, Shijun Li, Meiyun Wang, Luming Li, Bo Hong, Hesheng Liu
Format: Article
Language:English
Published: Nature Publishing Group 2020-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-18823-9

Internet

https://doi.org/10.1038/s41467-020-18823-9

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