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Optimizing Diffusion Imaging Protocols for Structural Connectomics in Mouse Models of Neurological Conditions.

Robert J Anderson1, Christopher M Long1, Evan D Calabrese2

  • 1Department of Radiology, Duke University, Durham, CA, United States.

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|April 30, 2021
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Summary

Optimizing diffusion imaging protocols in mouse models enhances connectome accuracy for neurological disease research. Higher angular resolution significantly reduces tractography errors, guiding efficient imaging protocol development.

Keywords:
MRIbrainconnectivity (graph theory)diffusion imagingmouse modelneurodegenerative diseases

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Area of Science:

  • Neuroscience
  • Biomedical Imaging
  • Computational Biology

Background:

  • Network approaches offer sensitive biomarkers for neurological conditions like Alzheimer's disease (AD).
  • Mouse models are crucial for dissecting vulnerable brain circuits and understanding pathologies.
  • Axonal diameters in mouse brains are comparable to humans, making them suitable for diffusion imaging studies.

Purpose of the Study:

  • To evaluate diffusion imaging protocols with varying spatial and angular resolutions for mouse brain connectome accuracy.
  • To provide guidelines for developing efficient and accurate diffusion imaging protocols in mouse models of neurological conditions.

Main Methods:

  • Derived structural connectomes from high-resolution diffusion data (120 directions, 43-μm voxels).
  • Simulated various angular (12-120 directions) and spatial (43, 86, 172-μm) resolutions.
  • Assessed rotational stability, voxel dyad counts, tractography errors (dyad dispersion), and subgraph/node similarity.

Main Results:

  • Rotational stability and tractography accuracy improved with higher angular resolution, with significant gains up to 45-60 directions.
  • Spatial resolution effects were noticeable at 172 μm, impacting smaller tracts more.
  • Downsampling to 86 μm with high angular resolution maintained 96% subgraph similarity; 60 directions at 86/172 μm yielded 94% similarity.
  • Major white matter tracts showed greater robustness to downsampling than cortical regions.

Conclusions:

  • Angular resolution is critical for reducing tractography errors and improving mouse connectome accuracy.
  • Protocols with 45-60 directions and resolutions of 86 μm offer a balance of efficiency and accuracy.
  • Findings provide practical guidelines for optimizing mouse connectome studies in neurological research.