Population-averaged standard template brain atlas for the common marmoset (Callithrix jacchus)

Advanced magnetic resonance (MR) neuroimaging analysis techniques based on voxel-wise statistics, such as voxel-based morphometry (VBM) and functional MRI, are widely applied to cognitive brain research in both human subjects and in non-human primates. Recent developments in imaging have enabled the...

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Published inNeuroImage (Orlando, Fla.) Vol. 54; no. 4; pp. 2741 - 2749
Main Authors Hikishima, K., Quallo, M.M., Komaki, Y., Yamada, M., Kawai, K., Momoshima, S., Okano, H.J., Sasaki, E., Tamaoki, N., Lemon, R.N., Iriki, A., Okano, H.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 14.02.2011
Elsevier Limited
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Summary:Advanced magnetic resonance (MR) neuroimaging analysis techniques based on voxel-wise statistics, such as voxel-based morphometry (VBM) and functional MRI, are widely applied to cognitive brain research in both human subjects and in non-human primates. Recent developments in imaging have enabled the evaluation of smaller animal models with sufficient spatial resolution. The common marmoset (Callithrix jacchus), a small New World primate species, has been widely used in neuroscience research, to which voxel-wise statistics could be extended with a species-specific brain template. Here, we report, for the first time, a tissue-segmented, population-averaged standard template of the common marmoset brain. This template was created by using anatomical T1-weighted images from 22 adult marmosets with a high-resolution isotropic voxel size of (0.2mm)3 at 7-Tesla and DARTEL algorithm in SPM8. Whole brain templates are available at International Neuroinformatics Japan Node website, http://brainatlas.brain.riken.jp/marmoset/. ►A population-averaged brain template for the common marmoset was created. ►Tissue segmented templates would contribute to precise voxel-wise statistics. ►Templates for male, female and those mixed are available at website.
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ISSN:1053-8119
1095-9572
1095-9572
DOI:10.1016/j.neuroimage.2010.10.061