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A population MRI brain template and analysis tools for the macaque.

Jakob Seidlitz1, Caleb Sponheim2, Daniel Glen3

  • 1Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD 20892, USA; Developmental Neurogenomics Unit, National Institute of Mental Health, Bethesda, MD 20892, USA; Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge CB2 1TN, UK.

Neuroimage
|May 3, 2017
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Summary

A new high-resolution macaque brain template, the National Institute of Mental Health Macaque Template (NMT), offers improved neuroimaging analysis. This tool standardizes processing for individual subjects, enhancing data comparison across studies.

Keywords:
AtlasMRIMacaqueSegmentationTemplateVasculature

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Area of Science:

  • Neuroimaging
  • Primate Neuroscience
  • Comparative Anatomy

Background:

  • Standard anatomical templates are crucial for human neuroimaging analysis and cross-study comparisons.
  • Existing non-human primate in vivo templates lack sufficient contrast and automated processing tools.

Purpose of the Study:

  • Introduce the National Institute of Mental Health Macaque Template (NMT) for high-resolution in vivo macaque brain imaging.
  • Provide tools for automated single-subject processing and enhanced data visualization.

Main Methods:

  • Generated a high-resolution in vivo MRI template of the average macaque brain from 31 subjects.
  • Created tissue segmentation and cortical thickness maps from the NMT volume.
  • Developed an analysis pipeline for automated brain extraction, segmentation, and morphometric analysis.

Main Results:

  • The NMT provides a high-resolution average macaque brain template.
  • Generated associated tools including tissue segmentation, cortical thickness maps, and surface reconstructions.
  • An automated analysis pipeline standardizes neuroimaging processing for individual macaque subjects.

Conclusions:

  • The NMT and its associated tools offer a standardized platform for macaque neuroimaging.
  • Facilitates precise single-subject data analysis and robust cross-study characterization of neuroimaging results.
  • Improves the reliability and efficiency of non-human primate brain analysis.