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Updated: Jan 12, 2026

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
Published on: May 10, 2012
Real-time multislice-to-volume motion correction for task-based EPI-fMRI at 7 T
Steven Winata1, Daniel Christopher Hoinkiss2, Graeme Alexander Keith1
1Imaging Centre of Excellence, University of Glasgow, Queen Elizabeth University Hospital, 1345 Govan Road, Glasgow G51 4TF, Scotland, UK.
Ultra-high field 7 Tesla functional MRI (fMRI) benefits from increased signal but requires motion correction. A new prospective motion correction technique, MS-PACE, significantly reduced motion and improved data quality in task-based fMRI studies.
Area of Science:
- Neuroimaging
- Magnetic Resonance Imaging
Background:
- Ultra-high field strength (7 Tesla) MRI enhances functional MRI (fMRI) sensitivity via the blood-oxygen-level-dependent (BOLD) signal.
- Increased motion sensitivity at 7T and within fMRI protocols necessitates advanced motion mitigation strategies.
Purpose of the Study:
- To develop and evaluate a 7T-compatible, real-time prospective motion correction technique for fMRI.
- To assess the efficacy of Multislice Prospective Acquisition Correction (MS-PACE) in reducing motion artifacts in 7T task-based fMRI.
Main Methods:
- Implementation of a prospective Multislice Prospective Acquisition Correction (MS-PACE) technique for 7T fMRI.
- Evaluation using echo-planar imaging (EPI) in a 7T task-based fMRI study with resting-state scans.
Main Results:
- MS-PACE demonstrated significant and consistent reduction in residual head motion across participants.
- Prospective motion correction led to increased temporal signal-to-noise ratio (tSNR) in resting-state scans.
- Functional analysis indicated a reduction in artefactual activations compared to retrospective correction.
Conclusions:
- The 7T MS-PACE implementation effectively mitigates motion in task-based fMRI.
- Prospective motion correction improves data quality and reduces artifacts, enhancing the reliability of 7T fMRI findings.
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