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Updated: Jul 17, 2026

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
Published on: May 10, 2012
Functional magnetic resonance imaging research in China
Hongzan Sun1, Yong He2,3,4,5, Heqi Cao6
1Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
The National Natural Scientific Foundation of China (NSFC) has increased funding for functional magnetic resonance imaging (fMRI) research over 20 years. Leading institutions in developed regions received the most support, fostering collaborations and advancements in brain imaging and disorders.
Area of Science:
- Neuroscience
- Medical Imaging
- Research Funding Analysis
Background:
- Functional magnetic resonance imaging (fMRI) is a key non-invasive tool for studying brain activity, cognition, development, and disorders.
- The National Natural Scientific Foundation of China (NSFC) has been a major funder of basic research in China for two decades.
Purpose of the Study:
- To analyze the trends and achievements in fMRI research funded by the NSFC over the last 20 years.
- To identify key funding patterns, collaborative networks, and scientific outputs in Chinese fMRI research.
Main Methods:
- Metadata analysis of NSFC-funded fMRI projects and publications.
- Review of representative scientific achievements in data analysis, brain connectomics, and computational platforms.
Main Results:
- A consistent increase in NSFC funding for fMRI research was observed, particularly through the General Program and Key Program.
- Research institutions in economically developed areas received substantial support and established strong collaborations.
- Significant advancements were made in fMRI data analysis, brain connectome research, and computational tools, with applications in brain disorders.
Conclusions:
- The NSFC has effectively supported the growth of fMRI research in China, fostering collaboration and driving innovation.
- Chinese research institutions have made notable contributions to fMRI methodology and its application to understanding brain function and dysfunction.
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