| Literature DB >> 33882349 |
Joonas A Autio1, Qi Zhu2, Xiaolian Li3, Matthew F Glasser4, Caspar M Schwiedrzik5, Damien A Fair6, Jan Zimmermann6, Essa Yacoub6, Ravi S Menon7, David C Van Essen8, Takuya Hayashi9, Brian Russ10, Wim Vanduffel11.
Abstract
Recent methodological advances in MRI have enabled substantial growth in neuroimaging studies of non-human primates (NHPs), while open data-sharing through the PRIME-DE initiative has increased the availability of NHP MRI data and the need for robust multi-subject multi-center analyses. Streamlined acquisition and analysis protocols would accelerate and improve these efforts. However, consensus on minimal standards for data acquisition protocols and analysis pipelines for NHP imaging remains to be established, particularly for multi-center studies. Here, we draw parallels between NHP and human neuroimaging and provide minimal guidelines for harmonizing and standardizing data acquisition. We advocate robust translation of widely used open-access toolkits that are well established for analyzing human data. We also encourage the use of validated, automated pre-processing tools for analyzing NHP data sets. These guidelines aim to refine methodological and analytical strategies for small and large-scale NHP neuroimaging data. This will improve reproducibility of results, and accelerate the convergence between NHP and human neuroimaging strategies which will ultimately benefit fundamental and translational brain science.Entities:
Keywords: MRI; Multi-site; Non-human primate; PRIME-DE; Standardization
Year: 2021 PMID: 33882349 DOI: 10.1016/j.neuroimage.2021.118082
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556