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

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. Therefo...

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Veröffentlicht in:Scientific data 2023-04, Vol.10 (1), p.221-8, Article 221
Hauptverfasser: Hata, Junichi, Nakae, Ken, Tsukada, Hiromichi, Woodward, Alexander, Haga, Yawara, Iida, Mayu, Uematsu, Akiko, Seki, Fumiko, Ichinohe, Noritaka, Gong, Rui, Kaneko, Takaaki, Yoshimaru, Daisuke, Watakabe, Akiya, Abe, Hiroshi, Tani, Toshiki, Hamda, Hiro Taiyo, Gutierrez, Carlos Enrique, Skibbe, Henrik, Maeda, Masahide, Papazian, Frederic, Hagiya, Kei, Kishi, Noriyuki, Ishii, Shin, Doya, Kenji, Shimogori, Tomomi, Yamamori, Tetsuo, Tanaka, Keiji, Okano, Hirotaka James, Okano, Hideyuki
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Sprache:eng
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Zusammenfassung: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.
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-023-02121-2