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Related Experiment Video

Updated: Jan 12, 2026

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
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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.

Magnetic Resonance Imaging
|October 31, 2025
PubMed
Summary
This summary is machine-generated.

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.

Keywords:
Echo-planar imaging (EPI)Magnetic resonance imaging (MRI)Motion correctionNeuroimagingUltra-high field (UHF), 7 T (7 T)

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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.