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; Frédéric Papazian; Kei Hagiya; Noriyuki Kishi; Shin Ishii; Kenji Doya; Tomomi Shimogori; Tetsuo Yamamori; Keiji Tanaka; Hirotaka James Okano; Hideyuki Okano

doi:10.1038/s41597-023-02121-2

NeuroscienceScientific DataApr 27, 2023

Peer-reviewed journal article

Multi-modal brain magnetic resonance imaging database covering marmosets with a wide age range

Junichi Hata iD, Ken Nakae iD, Hiromichi Tsukada, Alexander Woodward iD, Yawara Haga, Mayu Iida, Akiko Uematsu iD, Fumiko Seki iD, Noritaka Ichinohe iD, Rui Gong iD, Takaaki Kaneko iD, Daisuke Yoshimaru iD, Akiya Watakabe iD, Hiroshi Abe iD, Toshiki Tani, Hiro Taiyo Hamda, Carlos Enrique Gutierrez iD, Henrik Skibbe iD, Masahide Maeda, Frédéric Papazian, Kei Hagiya, Noriyuki Kishi, Shin Ishii iD, Kenji Doya iD, Tomomi Shimogori iD, , Hideyuki Okano iD

Abstract

Magnetic resonance imaging (MRI) is a noninvasive neuroimaging method beneficial for the identification of normal developmental and aging processes and data sharing. Marmosets have a relatively shorter life expectancy (approximately 10 years) than other primates, including, humans because they grow and age faster. Hence, 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 on marmosets with a wide age range. The Brain/MINDS Marmoset Brain MRI Dataset contains brain MRI information on 216 marmosets aged between 1 and 10 years. During its release date, it is the largest public dataset worldwide. Further, it comprises multi contrast MRI images. In addition, 91 of 216 animals have corresponding ex vivo high-resolution MRI datasets. Our MRI database, which is available at the Brain/MINDS Data portal might help understand the effects of different factors, such as age, sex, body size, and fixation, on the brain. Moreover, it can contribute to and accelerate brain science studies worldwide.

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