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Updated: May 11, 2026

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Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
Published on: May 27, 2020
Resting-state fMRI in the Human Connectome Project
Stephen M Smith1, Christian F Beckmann, Jesper Andersson
1FMRIB (Oxford Centre for Functional MRI of the Brain), Oxford University, Oxford, UK. steve@fmrib.ox.ac.uk
Neuroimage
|May 25, 2013
Summary
Resting-state functional MRI (rfMRI) maps brain connectivity in over 1000 healthy adults. High-resolution data will be shared openly to advance neuroimaging research.
Area of Science:
- Neuroimaging
- Cognitive Neuroscience
Background:
- Resting-state functional magnetic resonance imaging (rfMRI) non-invasively studies brain functional connectivity.
- rfMRI data acquisition is a primary component of the Human Connectome Project.
Purpose of the Study:
- To generate a detailed in vivo map of brain functional connectivity in a large cohort of healthy adults.
- To openly share high-quality rfMRI datasets with the neuroimaging community.
Main Methods:
- Acquired 1 hour of whole-brain rfMRI data per subject at 3 Tesla.
- Utilized slice-accelerated echo-planar imaging for high spatial (2x2x2 mm) and temporal (0.7s) resolution.
- Developed and documented data acquisition protocols and pre-processing pipelines.
Main Results:
- Demonstrated high data quality from the rfMRI scans.
- Presented example functional connectivity analyses derived from the acquired data.
- Outlined the rationale behind protocol and pipeline decisions.
Conclusions:
- The Human Connectome Project is successfully acquiring high-resolution rfMRI data.
- The generated dataset will be a valuable resource for studying brain connectivity in healthy adults.
- Open data sharing facilitates advancements in neuroimaging research.
