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Updated: May 11, 2026
17:06
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
Advances in diffusion MRI acquisition and processing in the Human Connectome Project.
Stamatios N Sotiropoulos1, Saad Jbabdi, Junqian Xu
1Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, Oxford, UK. stam@fmrib.ox.ac.uk
Neuroimage
|May 25, 2013
Summary
The Human Connectome Project (HCP) maps brain connections using advanced diffusion MRI (dMRI) in 1200 healthy adults. This research provides high-quality in-vivo MRI data and processing methods for the scientific community.
Area of Science:
- Neuroscience
- Medical Imaging
- Genetics
Background:
- The Human Connectome Project (HCP) is a major initiative to map brain connectivity.
- Understanding structural connectivity is crucial for neuroscience research.
Purpose of the Study:
- To present advances in diffusion MRI (dMRI) acquisition and processing for the HCP.
- To detail the methods enabling high-quality in-vivo MRI data for a large cohort.
- To outline the data sharing plan for the HCP datasets.
Main Methods:
- Utilized diffusion MRI (dMRI) as a primary imaging modality.
- Implemented optimized data acquisition and processing pipelines.
- Focused on structural connectivity analysis in 1200 healthy adults.
Main Results:
- Achieved very high-quality in-vivo MRI data suitable for large-scale studies.
- Developed and refined dMRI acquisition and processing techniques.
- Established protocols for reproducible brain mapping.
Conclusions:
- The HCP has made significant advancements in dMRI technology and methodology.
- High-quality brain imaging data and processing pipelines will be publicly released.
- This effort will facilitate future research on brain variability and function.
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