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Rhesus Macaque Brain Atlas Regions Aligned to an MRI Template.

Jeffrey M Moirano1, Gleb Y Bezgin2,3,4,5, Elizabeth O Ahlers1

  • 1Waisman Center, University of Wisconsin-Madison, Madison, WI, USA.

Neuroinformatics
|October 7, 2018
PubMed
Summary
This summary is machine-generated.

Researchers aligned a rhesus macaque brain atlas to an MRI template for improved neuroimaging analysis. This validated method enhances the study of brain structures and dopamine D2 receptor distribution using PET imaging.

Keywords:
AtlasBrainMagnetic resonance imaging (MRI)Positron emission tomography (PET)Regions of interestRhesus macaque

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Area of Science:

  • Neuroimaging
  • Primate Neuroscience
  • Comparative Anatomy

Background:

  • Accurate anatomical atlases are crucial for analyzing non-human primate brain images.
  • Existing atlases require alignment to modern imaging templates for advanced research.

Purpose of the Study:

  • To align the Paxinos rhesus macaque brain atlas to a standardized MRI template.
  • To validate the alignment for quantitative analysis of neuroimaging data, including Positron Emission Tomography (PET).

Main Methods:

  • Digitized anatomical regions from the Paxinos atlas were aligned to an MRI template in 2D and 3D.
  • Validation involved aligning individual macaque MRI scans and hand-drawn regions to the template.
  • PET images measuring dopamine D2 receptor binding were analyzed using aligned regions.

Main Results:

  • Qualitative assessment showed good registration of grey matter regions to the MRI template.
  • Quantitative validation demonstrated good geometric overlap between hand-drawn and template-defined regions.
  • PET imaging analysis showed good agreement between hand-drawn and template-based tracer binding measures.

Conclusions:

  • An anatomically defined rhesus macaque brain atlas has been successfully aligned to an MRI template.
  • The aligned atlas is validated for analyzing PET imaging data, particularly in striatal and cortical areas.
  • The comprehensive atlas of over 200 regions is publicly available for research use.