Abstract

Magnetic resonance imaging (MRI) is a non-invasive neuroimaging technique that is useful for identifying normal developmental and aging processes and for data sharing. Marmosets have a relatively shorter life expectancy than other primates, including humans, because they grow and age faster. Therefore, the common marmoset model is effective in aging research. The current study investigated the aging process of the marmoset brain and provided an open MRI database of marmosets across a wide age range. The Brain/MINDS Marmoset Brain MRI Dataset contains brain MRI information from 216 marmosets ranging in age from 1 and 10 years. At the time of its release, it is the largest public dataset in the world. It also includes multi-contrast MRI images. In addition, 91 of 216 animals have corresponding high-resolution ex vivo MRI datasets. Our MRI database, available at the Brain/MINDS Data Portal, might help to understand the effects of various factors, such as age, sex, body size, and fixation, on the brain. It can also contribute to and accelerate brain science studies worldwide.

Details

Title
Multi-modal brain magnetic resonance imaging database covering marmosets with a wide age range
Author
Hata, Junichi 1   VIAFID ORCID Logo  ; Nakae, Ken 2 ; Tsukada, Hiromichi 3 ; Woodward, Alexander 4   VIAFID ORCID Logo  ; Haga, Yawara 5 ; Iida, Mayu 6 ; Uematsu, Akiko 5 ; Seki, Fumiko 7 ; Ichinohe, Noritaka 8 ; Gong, Rui 4 ; Kaneko, Takaaki 9 ; Yoshimaru, Daisuke 10 ; Watakabe, Akiya 11   VIAFID ORCID Logo  ; Abe, Hiroshi 11   VIAFID ORCID Logo  ; Tani, Toshiki 11 ; Hamda, Hiro Taiyo 12 ; Gutierrez, Carlos Enrique 13 ; Skibbe, Henrik 14 ; Maeda, Masahide 4 ; Papazian, Frederic 4 ; Hagiya, Kei 5 ; Kishi, Noriyuki 15 ; Ishii, Shin 16 ; Doya, Kenji 13   VIAFID ORCID Logo  ; Shimogori, Tomomi 17 ; Yamamori, Tetsuo 18 ; Tanaka, Keiji 4 ; Okano, Hirotaka James 19   VIAFID ORCID Logo  ; Okano, Hideyuki 15 

1  Tokyo Metropolitan University, Graduate School of Human Health Sciences, Tokyo, Japan (GRID:grid.265074.2) (ISNI:0000 0001 1090 2030); RIKEN Center for Brain Science, Laboratory for Marmoset Neural Architecture, Saitama, Japan (GRID:grid.474690.8); Keio University School of Medicine, Department of Physiology, Tokyo, Japan (GRID:grid.26091.3c) (ISNI:0000 0004 1936 9959); Central Institute for Experimental Animals, Live Animal Imaging Center, Kanagawa, Japan (GRID:grid.452212.2) (ISNI:0000 0004 0376 978X); The Jikei University School of Medicine, Division of Regenerative Medicine, Tokyo, Japan (GRID:grid.411898.d) (ISNI:0000 0001 0661 2073) 
2  National Institutes of Natural Sciences, Exploratory Research Center on Life and Living Systems, Aichi, Japan (GRID:grid.250358.9) (ISNI:0000 0000 9137 6732); Kyoto University, Graduate School of Informatics, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033) 
3  Chubu University, Center for Mathematical Science and ArtificialIntelligence, Aichi, Japan (GRID:grid.254217.7) (ISNI:0000 0000 8868 2202); Okinawa Institute of Science and Technology Graduate University, Neural Computation Unit, Okinawa, Japan (GRID:grid.250464.1) (ISNI:0000 0000 9805 2626) 
4  RIKEN Center for Brain Science, Connectome Analysis Unit, Saitama, Japan (GRID:grid.474690.8) 
5  RIKEN Center for Brain Science, Laboratory for Marmoset Neural Architecture, Saitama, Japan (GRID:grid.474690.8) 
6  Tokyo Metropolitan University, Graduate School of Human Health Sciences, Tokyo, Japan (GRID:grid.265074.2) (ISNI:0000 0001 1090 2030) 
7  Central Institute for Experimental Animals, Live Animal Imaging Center, Kanagawa, Japan (GRID:grid.452212.2) (ISNI:0000 0004 0376 978X) 
8  National Center of Neurology and Psychiatry, Department of Ultrastructural Research, National Institute ofNeuroscience, Tokyo, Japan (GRID:grid.419280.6) (ISNI:0000 0004 1763 8916) 
9  Kyoto University, Center for the Evolutionary Origins of Human Behavior, Aichi, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033) 
10  RIKEN Center for Brain Science, Laboratory for Marmoset Neural Architecture, Saitama, Japan (GRID:grid.474690.8); Keio University School of Medicine, Department of Physiology, Tokyo, Japan (GRID:grid.26091.3c) (ISNI:0000 0004 1936 9959); Central Institute for Experimental Animals, Live Animal Imaging Center, Kanagawa, Japan (GRID:grid.452212.2) (ISNI:0000 0004 0376 978X); The Jikei University School of Medicine, Division of Regenerative Medicine, Tokyo, Japan (GRID:grid.411898.d) (ISNI:0000 0001 0661 2073) 
11  RIKEN Center for Brain Science, Laboratory for Molecular Analysis of Higher BrainFunction, Saitama, Japan (GRID:grid.474690.8) 
12  Okinawa Institute of Science and Technology Graduate University, Neural Computation Unit, Okinawa, Japan (GRID:grid.250464.1) (ISNI:0000 0000 9805 2626); Research & Development Department, Araya Inc, Tokyo, Japan (GRID:grid.250464.1) 
13  Okinawa Institute of Science and Technology Graduate University, Neural Computation Unit, Okinawa, Japan (GRID:grid.250464.1) (ISNI:0000 0000 9805 2626) 
14  RIKEN Center for Brain Science, Brain Image Analysis Unit, Saitama, Japan (GRID:grid.474690.8) 
15  RIKEN Center for Brain Science, Laboratory for Marmoset Neural Architecture, Saitama, Japan (GRID:grid.474690.8); Keio University School of Medicine, Department of Physiology, Tokyo, Japan (GRID:grid.26091.3c) (ISNI:0000 0004 1936 9959) 
16  Kyoto University, Graduate School of Informatics, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033) 
17  RIKEN Center for Brain Science, Laboratory for Molecular Mechanisms of Brain Development, Saitama, Japan (GRID:grid.474690.8) 
18  RIKEN Center for Brain Science, Laboratory for Molecular Analysis of Higher BrainFunction, Saitama, Japan (GRID:grid.474690.8); RIKEN Center for Brain Science, Laboratory of Haptic Perception and Cognitive Physiology, Saitama, Japan (GRID:grid.474690.8); Central Institute for Experimental Animals, Department of Marmoset Biology and Medicine, Kanagawa, Japan (GRID:grid.452212.2) (ISNI:0000 0004 0376 978X) 
19  RIKEN Center for Brain Science, Laboratory for Marmoset Neural Architecture, Saitama, Japan (GRID:grid.474690.8); The Jikei University School of Medicine, Division of Regenerative Medicine, Tokyo, Japan (GRID:grid.411898.d) (ISNI:0000 0001 0661 2073) 
Pages
221
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41597-023-02121-2
ProQuest document ID
2806715404
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.