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Updated: Mar 31, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
Visualizing functional pathways in the human brain using correlation tensors and magnetic resonance imaging
Zhaohua Ding1, Ran Xu2, Stephen K Bailey3
1Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, 37232; Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, 37232; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37232; Chemical and Physical Biology Program, Vanderbilt University, Nashville, TN, 37232.
Resting-state MRI reveals temporal correlations in white matter, similar to diffusion tensor imaging. These findings suggest new methods for evaluating white matter signal changes using functional correlation tensors.
Area of Science:
- Neuroimaging
- White Matter Tracts
- Functional MRI
Background:
- Functional magnetic resonance imaging (fMRI) typically detects blood oxygenation level dependent (BOLD) signals in the brain cortex.
- Resting-state fMRI has shown structure-specific temporal correlations along white matter tracts.
Observation:
- This study validates preliminary findings on resting-state MRI signals in white matter.
- Spatio-temporal functional correlation tensors are introduced to characterize directional preferences of temporal correlations in resting-state MRI signals.
Findings:
- Resting-state functional correlation tensors reveal white matter tract structures without diffusion-encoding gradients, similar to diffusion tensor imaging.
- These tensors visualize both long-range white matter tracts and short-range sub-cortical fibers.
- Evoked functional activities modify these structures, enhancing relevant neural circuitry visualization.
Implications:
- Temporal correlations in resting-state signals may indicate intrinsic neural activity synchronizations within white matter.
- White matter signal variations are consistent with hemodynamic (BOLD) changes linked to neural activity.
- The study proposes novel approaches for assessing MRI signal alterations in white matter.
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