Abstract

Although very well adapted to brain study, Magnetic Resonance Imaging (MRI) remains limited by the facilities and capabilities required to acquire data, especially for non-human primates. Addressing the data gaps resulting from these limitations requires making data more accessible and open. In contempt of the regular use of Saimiri sciureus in neuroscience research, in vivo diffusion has yet to be openly available for this species. Here we built and made openly available a unique new resource consisting of a high-resolution, multishell diffusion-weighted dataset in the anesthetized Saimiri sciureus. The data were acquired on 11 individuals with an 11.7 T MRI scanner (isotropic resolution of 400 µm3). This paper presents an overview of our dataset and illustrates some of its possible use through example analyses. To assess the quality of our data, we analyzed long-range connections (whole-brain tractography), microstructure (Neurite Orientation Dispersion and Density Imaging), and axon diameter in the corpus callosum (ActiveAx). Constituting an essential new resource for primate evolution studies, all data are openly available.

Details

Title
A new open, high-resolution, multishell, diffusion-weighted imaging dataset of the living squirrel monkey
Author
Orset, Thomas 1   VIAFID ORCID Logo  ; Royo, Julie 1   VIAFID ORCID Logo  ; Santin, Mathieu David 2   VIAFID ORCID Logo  ; Pouget, Pierre 1   VIAFID ORCID Logo  ; Thiebaut de Schotten, Michel 3   VIAFID ORCID Logo 

 Sorbonne University, Brain Connectivity and Behaviour Laboratory, Paris, France (GRID:grid.462844.8) (ISNI:0000 0001 2308 1657); Sorbonne University, Inserm U1127, CNRS UMR7225, UM75, ICM, Movement Investigation and Therapeutics Team, Paris, France (GRID:grid.425274.2) (ISNI:0000 0004 0620 5939) 
 ICM, Centre de NeuroImagerie de Recherche – CENIR, Paris, France (GRID:grid.425274.2) (ISNI:0000 0004 0620 5939) 
 Sorbonne University, Brain Connectivity and Behaviour Laboratory, Paris, France (GRID:grid.462844.8) (ISNI:0000 0001 2308 1657); CEA University of Bordeaux, Groupe d’Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, Bordeaux, France (GRID:grid.412041.2) (ISNI:0000 0001 2106 639X) 
Pages
224
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2803746386
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.