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Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing.

Joonas A Autio1, Matthew F Glasser2, Takayuki Ose1

  • 1Laboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.

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|April 11, 2020
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Summary

Researchers developed a novel macaque 24-channel MRI coil and adapted Human Connectome Project (HCP) protocols for noninvasive brain imaging. This enables high-resolution in-vivo macaque brain studies, advancing primate neuroscience research.

Keywords:
CortexDiffusionHuman connectome projectMacaqueParallel imagingPrimateResting-state

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Area of Science:

  • Neuroscience
  • Primate Imaging
  • Magnetic Resonance Imaging (MRI)

Background:

  • Macaque monkeys are crucial animal models for understanding primate and human brain organization.
  • Existing noninvasive imaging tools and preprocessing methods for macaque brains lag behind human standards.
  • High-resolution, high signal-to-noise ratio imaging is essential for detailed macaque brain analysis.

Purpose of the Study:

  • To develop advanced MRI tools and methods for high-quality in-vivo imaging of the macaque brain.
  • To enable adaptation of Human Connectome Project (HCP) imaging and preprocessing protocols for macaque studies.
  • To enhance the analysis of cortical architecture, functional connectivity, and structural connectivity in macaques.

Main Methods:

  • Development of a macaque 24-channel receive coil for 3-Tesla MRI with parallel imaging capabilities.
  • Adaptation of Human Connectome Project (HCP) imaging acquisition protocols for in-vivo macaque brain scanning.
  • Adaptation of HCP preprocessing pipelines for structural MRI, functional MRI (fMRI), and diffusion MRI (dMRI) data.
  • Utilized automated FreeSurfer segmentation, cortical surface reconstruction, artifact removal, and distortion correction.

Main Results:

  • The new coil achieved high signal-to-noise ratio and efficiency, enabling significant acceleration for dMRI and fMRI.
  • Adapted HCP preprocessing methods yielded high-quality neurobiological measures comparable to human HCP data.
  • fMRI analyses demonstrated high sensitivity for functional connectivity, outperforming existing public datasets.
  • Tractography-based connectivity estimates showed strong correlation with ex-vivo tracer data.

Conclusions:

  • The developed macaque MRI coil and adapted HCP protocols provide a powerful platform for in-vivo macaque brain research.
  • This advancement allows the application of sophisticated human neuroimaging analysis techniques to macaque models.
  • The resulting high-quality data facilitates deeper understanding of primate brain structure and function, bridging the gap between animal models and human neuroscience.