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Advances in rs-fMRI combined with machine learning toward the gut-brain axis
JU Yan  WANG Song 

Cite this article as: JU Y, WANG S. Advances in rs-fMRI combined with machine learning toward the gut-brain axis[J]. Chin J Magn Reson Imaging, 2023, 14(5): 171-174, 180. DOI:10.12015/issn.1674-8034.2023.05.030.


[Abstract] The two-way communication between gut microbes and the brain is called the gut-brain axis. Disorders of the gut-brain axis are associated with many diseases. However, the current clinical diagnosis method is not perfect. Resting state functional magnetic resonance imaging (rs-fMRI) is an important imaging tool that helps provide information about changes in brain function; machine learning builds prediction models by selecting different feature extraction methods and classification algorithms. The combination of the two is often used in the diagnosis, classification and prognosis of diseases. This article reviews the application of rs-fMRI combined with machine learning to gastrointestinal and major neurological diseases related to the gut-brain axis, aims to provide technical reference for the establishment of relevant models, assist clinical diagnosis, and realize precision medicine.
[Keywords] gut-brain axis；magnetic resonance imaging；resting state functional magnetic resonance imaging；machine learning；deep learning

JU Yan   WANG Song*  

Department of Radiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China

Corresponding author: Wang S, E-mail: songwangws@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Natural Science Foundation of Shanghai (No. 19ZR1457800).
Received  2022-09-07
Accepted  2023-05-06
DOI: 10.12015/issn.1674-8034.2023.05.030
Cite this article as: JU Y, WANG S. Advances in rs-fMRI combined with machine learning toward the gut-brain axis[J]. Chin J Magn Reson Imaging, 2023, 14(5): 171-174, 180. DOI:10.12015/issn.1674-8034.2023.05.030.

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