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....
| Main Authors: | , , , , , , , , , , , , , , , , , |
|---|---|
| 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 |