Nature Communications (Oct 2020)
Reconstructing lost BOLD signal in individual participants using deep machine learning
- 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
Affiliations
- Yuxiang Yan
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School
- Louisa Dahmani
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School
- Jianxun Ren
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School
- Lunhao Shen
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School
- Xiaolong Peng
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School
- Ruiqi Wang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School
- Changgeng He
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School
- Changqing Jiang
- National Engineering Laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University
- Chen Gong
- National Engineering Laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University
- Ye Tian
- National Engineering Laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University
- Jianguo Zhang
- Department of Neurosurgery, Tiantan Hospital, Capital Medical University
- Yi Guo
- Department of Neurosurgery, Peking Union Medical College Hospital
- Yuanxiang Lin
- Department of Neurosurgery, First Affiliated Hospital of Fujian Medical University
- Shijun Li
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School
- Meiyun Wang
- Department of Radiology, Zhengzhou University People Hospital & Henan Provincial People’s Hospital
- Luming Li
- National Engineering Laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University
- Bo Hong
- Department of Biomedical Engineering, School of Medicine, Tsinghua University
- Hesheng Liu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School
- DOI
- https://doi.org/10.1038/s41467-020-18823-9
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 13
Abstract
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.
