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Association between in-scanner head motion with cerebral white matter microstructure: a multiband diffusion-weighted

Xiang-Zhen Kong1

  • 1State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing , China.

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|May 6, 2014
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Summary

Head motion artifacts in diffusion-weighted MRI (DW-MRI) impact diffusion metrics like FA, MD, and LDH. While some metrics show mitigation, LDH is particularly sensitive to motion, requiring careful analysis.

Keywords:
Diffusion MRIHead motionMicrostructureWhite matter

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Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Radiology

Background:

  • Diffusion-weighted Magnetic Resonance Imaging (DW-MRI) is crucial for assessing white matter microstructure.
  • Head motion during scanning introduces artifacts that can compromise diffusion metric accuracy.
  • Higher sampling rates in DW-MRI are essential for precise diffusion metric evaluation.

Purpose of the Study:

  • To investigate the association between head motion and diffusion metrics using a multiband DW-MRI dataset.
  • To evaluate the impact of motion on standard diffusion metrics (FA, MD) and a novel metric (LDH).
  • To assess motion effects within the standard tract-based spatial statistics (TBSS) pipeline.

Main Methods:

  • Utilized a publicly available multiband DW-MRI dataset.
  • Applied the tract-based spatial statistics (TBSS) pipeline for data analysis.
  • Examined the impact of motion on fractional anisotropy (FA), mean diffusivity (MD), and local diffusion homogeneity (LDH).

Main Results:

  • Motion effects on FA and MD were partially mitigated but remained significant for MD.
  • Local diffusion homogeneity (LDH) exhibited a much more pronounced sensitivity to motion artifacts.
  • The findings highlight the persistent influence of motion on diffusion metric interpretation.

Conclusions:

  • Researchers must exercise caution during DW-MRI data analysis and interpretation due to motion artifacts.
  • The study underscores the need for robust motion correction strategies in neuroimaging.
  • Understanding motion-diffusion associations is critical for reliable white matter microstructure assessment.