2022
DOI: 10.1101/2022.09.21.508952
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Multi-modal brain magnetic resonance imaging database covering marmosets with a wide age range

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 … Show more

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Cited by 3 publications
(7 citation statements)
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“…We estimated and confirmed the atlas-based areal boundaries of subcortical areas by registering this standard ex vivo SAM template to multiple in vivo T2W marmoset MRI datasets of different age groups (control adults) (Liu et al . 2021; Hata et al . 2023).…”
Section: Resultsmentioning
confidence: 99%
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“…We estimated and confirmed the atlas-based areal boundaries of subcortical areas by registering this standard ex vivo SAM template to multiple in vivo T2W marmoset MRI datasets of different age groups (control adults) (Liu et al . 2021; Hata et al . 2023).…”
Section: Resultsmentioning
confidence: 99%
“…We estimated and confirmed the atlas-based areal boundaries of subcortical areas by registering this standard ex vivo SAM template to multiple in vivo T2W marmoset MRI datasets of different age groups (control adults) (Liu et al 2021;Hata et al 2023). To this end, we developed a novel processing pipeline within AFNI and SUMA to optimally register the new SAM atlas to in vivo T1W multisubject population-based (Liu et al 2021) or in vivo T2W individual marmoset brain volumes (Figs.…”
Section: Fig 4 Subcortical Areas For the 3d Atlas (Sam) (A-d)mentioning
confidence: 86%
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“…The COVID‐19 pandemic remains a rapidly evolving concern, primarily driven by the various SARS‐CoV‐2 strains. Computational scientists have responded by publishing numerous databases, each addressing specific aspects like image information in digital image databases (Batool et al., 2023; Hata et al., 2023) and genomic updates in genomic databases (Szklarczyk et al., 2023). To facilitate easy access to these invaluable resources with a single click, we have compiled a comprehensive dataset solely focusing on COVID‐19 research databases.…”
Section: General Databasesmentioning
confidence: 99%