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Updated: Jan 22, 2026
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Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat
Published on: August 28, 2021
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Combining Prospective Acquisition CorrEction (PACE) with retrospective correction to reduce motion artifacts in
Pradyumna Lanka1,2, Gopikrishna Deshpande1,3,4,5,6,7
1Department of Electrical and Computer Engineering, AU MRI Research Center, Auburn University, Auburn, Alabama.
Brain and Behavior
|July 13, 2019
Summary
Prospective Acquisition CorrEction (PACE) effectively reduces head motion artifacts in blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) data. This method allows for lower censoring thresholds, preserving more data without compromising motion artifact reduction.
Area of Science:
- Neuroimaging
- Functional Magnetic Resonance Imaging (fMRI)
- Brain Connectivity
Background:
- Head movement during fMRI scans introduces signal changes that distort blood-oxygen-level-dependent (BOLD) signals.
- These motion artifacts confound resting-state functional connectivity (RSFC) estimations, impacting data reliability.
Purpose of the Study:
- To evaluate the efficacy of Prospective Acquisition CorrEction (PACE) in mitigating motion artifacts within BOLD fMRI data.
- To assess PACE's impact on motion-BOLD relationships and connectivity metrics.
Main Methods:
- Utilized PACE-corrected resting-state fMRI data from 44 subjects, categorized into low- and high-motion groups.
- Investigated voxel-wise motion-BOLD correlations, distance-dependent connectivity artifacts, and motion's impact on specific connectivity measures.
Main Results:
- PACE, combined with retrospective correction, eliminated significant negative motion-BOLD relationships linked to signal dropouts.
- Lower censoring thresholds (framewise displacement >0.5 mm) with PACE achieved comparable motion artifact reduction to higher thresholds (0.2 mm) in conventional EPI data.
Conclusions:
- PACE effectively minimizes head motion artifacts when integrated with retrospective motion correction techniques.
- The use of lower censoring thresholds with PACE preserves significant amounts of data, offering substantial savings.
- 3D PACE presents a practical solution for motion correction in high-throughput resting-state BOLD imaging due to minimal overhead.
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