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Surface-based tracking for short association fibre tractography.

Dmitri Shastin1, Sila Genc2, Greg D Parker2

  • 1Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Maindy Rd, Cardiff CF24 4HQ, United Kingdom; Department of Neurosurgery, University Hospital of Wales, Cardiff, United Kingdom; BRAIN Biomedical Research Unit, Health & Care Research Wales, Cardiff, United Kingdom.

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Summary

Mapping short association fibres (SAF) in the brain is challenging but crucial for understanding neurological conditions. This study introduces a novel surface-based tractography approach for SAF, improving cortical coverage and streamline length while highlighting data acquisition considerations.

Keywords:
Short association fiberslSuperficial white matterSurfaceTractographyU-fibers

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Area of Science:

  • Neuroimaging
  • Human Brain Anatomy
  • White Matter Tractography

Background:

  • Short association fibres (SAF) constitute over half of the human brain's white matter.
  • SAF are implicated in neurological and psychiatric disorders but are understudied in neuroimaging.
  • Mapping SAF is difficult due to their complex anatomy and proximity to the cortex, causing partial volume effects.

Purpose of the Study:

  • To develop a whole-brain, surface-based tractography method for short association fibres (≤30-40 mm).
  • To investigate the impact of seeding, filtering, scanner choice, acquisition, and resampling on SAF tractography.
  • To assess the reliability and repeatability of the proposed SAF tractography framework.

Main Methods:

  • A novel whole-brain, surface-based tractography approach was developed for short association fibres (SAF).
  • The study evaluated various parameters including seeding, filtering, scanner type, data acquisition, and resampling.
  • Tractograms were analyzed using voxel- and surface-based consistency measures.

Main Results:

  • The proposed framework generates longer streamlines with enhanced connectivity between gyri and high cortical coverage.
  • Lower resolution and weaker diffusion weighting disproportionately underrepresent subcortical white matter.
  • Stronger gradient data, beyond typical clinical availability, showed minimal impact, indicating translatability to common hardware.

Conclusions:

  • The developed surface-based tractography method offers improved mapping of short association fibres.
  • Data acquisition parameters significantly influence the representation of subcortical white matter.
  • The study reveals moderate reliability, low repeatability, and high between-subject variability in SAF tractograms, cautioning against streamline count-based analyses.