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Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection.

Joonas A Autio1, Qi Zhu2, Xiaolian Li3

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

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|April 21, 2021
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Summary

Standardized MRI protocols and analysis pipelines are crucial for non-human primate (NHP) neuroimaging. This study provides guidelines to harmonize NHP and human brain imaging, improving data reproducibility and accelerating research.

Keywords:
MRIMulti-siteNon-human primatePRIME-DEStandardization

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Area of Science:

  • Neuroimaging
  • Comparative Neuroscience
  • Magnetic Resonance Imaging (MRI)

Background:

  • Magnetic Resonance Imaging (MRI) advances fuel non-human primate (NHP) neuroimaging research.
  • Open data initiatives like PRIME-DE increase NHP MRI data availability, necessitating multi-center analysis standards.
  • Lack of consensus on NHP neuroimaging protocols hinders multi-center studies.

Purpose of the Study:

  • Establish minimal guidelines for harmonizing NHP MRI data acquisition and analysis.
  • Facilitate robust multi-subject, multi-center NHP neuroimaging studies.
  • Accelerate convergence between NHP and human neuroimaging strategies for broader brain science benefits.

Main Methods:

  • Drawing parallels between NHP and human neuroimaging methodologies.
  • Proposing minimal guidelines for harmonizing and standardizing NHP MRI data acquisition.
  • Advocating for the translation of established human neuroimaging analysis toolkits and automated pre-processing tools for NHP data.

Main Results:

  • Provides a framework for refining methodological and analytical strategies in NHP neuroimaging.
  • Aims to enhance the reproducibility of NHP neuroimaging results.
  • Promotes the adoption of standardized protocols for both small and large-scale NHP datasets.

Conclusions:

  • Standardized acquisition and analysis protocols are essential for advancing NHP neuroimaging.
  • Harmonizing NHP and human neuroimaging methods will accelerate fundamental and translational brain science.
  • Adoption of these guidelines will improve data quality, comparability, and research efficiency.