Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection
Joonas A. Autio,
Qi Zhu,
Xiaolian Li,
Matthew F. Glasser,
Caspar M. Schwiedrzik,
Damien A. Fair,
Jan Zimmermann,
Essa Yacoub,
Ravi S. Menon,
David C. Van Essen,
Takuya Hayashi,
Brian Russ,
Wim Vanduffel
Affiliations
Joonas A. Autio
Laboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan; Corresponding author.
Qi Zhu
Laboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven Medical School, Leuven 3000, Belgium; Cognitive Neuroimaging Unit, INSERM, CEA, Université Paris-Saclay, NeuroSpin Center, 91191 Gif/Yvette, France
Xiaolian Li
Laboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven Medical School, Leuven 3000, Belgium
Matthew F. Glasser
Departments of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Departments of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
Caspar M. Schwiedrzik
Neural Circuits and Cognition Lab, European Neuroscience Institute Göttingen – A Joint Initiative of the University Medical Center Göttingen and the Max Planck Society, Grisebachstraße 5, 37077 Göttingen, Germany; Perception and Plasticity Group, German Primate Center – Leibniz Institute for Primate Research, Kellnerweg 4, 37077 Göttingen, Germany
Damien A. Fair
Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
Jan Zimmermann
Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
Essa Yacoub
Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
Ravi S. Menon
Centre for Functional and Metabolic Mapping, Western University, London, ON, Canada
David C. Van Essen
Departments of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
Takuya Hayashi
Laboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan
Brian Russ
Department of Psychiatry, New York University Langone, New York City, New York, USA; Center for the Biomedical Imaging and Neuromodulation, Nathan Kline Institute, Orangeburg, New York, USA; Department of Neuroscience, Icahn School of Medicine, Mount Sinai, New York City, New York, USA
Wim Vanduffel
Laboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven Medical School, Leuven 3000, Belgium; Leuven Brain Institute, KU Leuven, Leuven 3000, Belgium; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA; Department of Radiology, Harvard Medical School, Boston, MA 02144, USA
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.
