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Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age.

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机构: [a]Department of Radiology and BRIC, University of North Carolina Chapel Hill, USA [b]State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China [c]Department of MRI, the First People’s Hospital of Yunnan Province, Kunming, China [d]Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China [e]Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China [f]Yunnan Key Laboratory of Primate Biomedical Research, Kunming, China
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Longitudinal brain imaging atlases with densely sampled time-points and ancillary anatomical information are of fundamental importance in studying early developmental characteristics of human and non-human primate brains during infancy, which feature extremely dynamic imaging appearance, brain shape and size. However, for non-human primates, which are highly valuable animal models for understanding human brains, the existing brain atlases are mainly developed based on adults or adolescents, denoting a notable lack of temporally densely-sampled atlases covering the dynamic early brain development. To fill this critical gap, in this paper, we construct a comprehensive set of longitudinal brain atlases and associated tissue probability maps (gray matter, white matter, and cerebrospinal fluid) with totally 12 time-points from birth to 4 years of age (i.e., 1, 2, 3, 4, 5, 6, 9, 12, 18, 24, 36, and 48 months of age) based on 175 longitudinal structural MRI scans from 39 typically-developing cynomolgus macaques, by leveraging state-of-the-art computational techniques tailored for early developing brains. Furthermore, to facilitate region-based analysis using our atlases, we also provide two popular hierarchy parcellations, i.e., cortical hierarchy maps (6 levels) and subcortical hierarchy maps (6 levels), on our longitudinal macaque brain atlases. These early developing atlases, which have the densest time-points during infancy (to the best of our knowledge), will greatly facilitate the studies of macaque brain development.Copyright © 2021. Published by Elsevier Inc.

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出版当年[2022]版:
大类 | 1 区 医学
小类 | 1 区 神经成像 1 区 核医学 1 区 神经科学
最新[2023]版:
大类 | 2 区 医学
小类 | 1 区 神经成像 2 区 神经科学 2 区 核医学
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出版当年[2021]版:
Q1 NEUROIMAGING Q1 NEUROSCIENCES Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q1 NEUROIMAGING Q1 NEUROSCIENCES Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

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第一作者机构: [a]Department of Radiology and BRIC, University of North Carolina Chapel Hill, USA [d]Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China
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通讯机构: [a]Department of Radiology and BRIC, University of North Carolina Chapel Hill, USA [b]State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China [e]Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China [f]Yunnan Key Laboratory of Primate Biomedical Research, Kunming, China [*1]Department of Radiology and BRIC, University of North Carolina Chapel Hill, USA [*2]State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China.
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