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Recent methodological advances in MRI have enabled substantial growth inneuroimaging studies of non-human primates (NHPs), while open data-sharingthrough the PRIME-DE initiative has increased the availability of NHP MRI dataand the need for robust multi-subject multi-center analyses. Streamlinedacquisition and analysis protocols would accelerate and improve these efforts.However, consensus on minimal standards for data acquisition protocols andanalysis pipelines for NHP imaging remains to be established, particularly formulti-center studies. Here, we draw parallels between NHP and humanneuroimaging and provide minimal guidelines for harmonizing and standardizingdata acquisition. We advocate robust translation of widely used open-accesstoolkits that are well established for analyzing human data. We also encouragethe use of validated, automated pre-processing tools for analyzing NHP datasets. These guidelines aim to refine methodological and analytical strategiesfor small and large-scale NHP neuroimaging data. This will improvereproducibility of results, and accelerate the convergence between NHP andhuman neuroimaging strategies which will ultimately benefit fundamental andtranslational brain science.

Minimal Specifications for Non-Human Primate MRI: Challenges in Standardizing and Harmonizing Data Collection