Scientific Data (Apr 2023)
Multi-modal brain magnetic resonance imaging database covering marmosets with a wide age range
- Junichi Hata,
- Ken Nakae,
- Hiromichi Tsukada,
- Alexander Woodward,
- Yawara Haga,
- Mayu Iida,
- Akiko Uematsu,
- Fumiko Seki,
- Noritaka Ichinohe,
- Rui Gong,
- Takaaki Kaneko,
- Daisuke Yoshimaru,
- Akiya Watakabe,
- Hiroshi Abe,
- Toshiki Tani,
- Hiro Taiyo Hamda,
- Carlos Enrique Gutierrez,
- Henrik Skibbe,
- Masahide Maeda,
- Frederic Papazian,
- Kei Hagiya,
- Noriyuki Kishi,
- Shin Ishii,
- Kenji Doya,
- Tomomi Shimogori,
- Tetsuo Yamamori,
- Keiji Tanaka,
- Hirotaka James Okano,
- Hideyuki Okano
Affiliations
- Junichi Hata
- Graduate School of Human Health Sciences, Tokyo Metropolitan University
- Ken Nakae
- Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences
- Hiromichi Tsukada
- Center for Mathematical Science and Artificial Intelligence, Chubu University
- Alexander Woodward
- Connectome Analysis Unit, RIKEN Center for Brain Science
- Yawara Haga
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science
- Mayu Iida
- Graduate School of Human Health Sciences, Tokyo Metropolitan University
- Akiko Uematsu
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science
- Fumiko Seki
- Live Animal Imaging Center, Central Institute for Experimental Animals
- Noritaka Ichinohe
- Department of Ultrastructural Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry
- Rui Gong
- Connectome Analysis Unit, RIKEN Center for Brain Science
- Takaaki Kaneko
- Center for the Evolutionary Origins of Human Behavior, Kyoto University
- Daisuke Yoshimaru
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science
- Akiya Watakabe
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science
- Hiroshi Abe
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science
- Toshiki Tani
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science
- Hiro Taiyo Hamda
- Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University
- Carlos Enrique Gutierrez
- Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University
- Henrik Skibbe
- Brain Image Analysis Unit, RIKEN Center for Brain Science
- Masahide Maeda
- Connectome Analysis Unit, RIKEN Center for Brain Science
- Frederic Papazian
- Connectome Analysis Unit, RIKEN Center for Brain Science
- Kei Hagiya
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science
- Noriyuki Kishi
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science
- Shin Ishii
- Graduate School of Informatics, Kyoto University
- Kenji Doya
- Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University
- Tomomi Shimogori
- Laboratory for Molecular Mechanisms of Brain Development, RIKEN Center for Brain Science
- Tetsuo Yamamori
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science
- Keiji Tanaka
- Connectome Analysis Unit, RIKEN Center for Brain Science
- Hirotaka James Okano
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science
- Hideyuki Okano
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science
- DOI
- https://doi.org/10.1038/s41597-023-02121-2
- Journal volume & issue
-
Vol. 10,
no. 1
pp. 1 – 8
Abstract
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.
