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Diffusion magnetic resonance imaging for Brainnetome: a critical review
Nianming Zuo1, Jian Cheng, Tianzi Jiang
1LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing 100190, China.
Neuroscience Bulletin
|July 27, 2012
Summary
The human brain
Area of Science:
- Neuroscience
- Brain Network Analysis
- Medical Imaging
Background:
- The human brain exhibits complex self-organization with small-world, hierarchical, and modular attributes.
- The connectome concept aims to map physical brain network connections.
- Integrating multi-spatial and -temporal approaches is crucial for comprehensive brain study.
Purpose of the Study:
- Introduce the Brainnetome project, integrating diverse brain data.
- Review Diffusion Magnetic Resonance Imaging (dMRI) principles and methodologies.
- Discuss clinical applications of dMRI within the Brainnetome framework.
Main Methods:
- Diffusion Magnetic Resonance Imaging (dMRI) principles.
- dMRI methodologies for brain network analysis.
- Clinical applications of dMRI in neuroimaging.
Main Results:
- dMRI provides a non-invasive method for studying brain network anatomy.
- Review of dMRI techniques relevant to the Brainnetome project.
- Exploration of current and potential clinical uses of dMRI.
Conclusions:
- dMRI is a key technology for the Brainnetome project.
- Further research is needed to advance dMRI applications in brain network studies.
- The Brainnetome project integrates advanced imaging for a holistic brain understanding.
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