Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age
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...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-02-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811921010703 |
| _version_ | 1818976139015618560 |
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| author | Tao Zhong Jingkuan Wei Kunhua Wu Liangjun Chen Fenqiang Zhao Yuchen Pei Ya Wang Hongjiang Zhang Zhengwang Wu Ying Huang Tengfei Li Li Wang Yongchang Chen Weizhi Ji Yu Zhang Gang Li Yuyu Niu |
| author_facet | Tao Zhong Jingkuan Wei Kunhua Wu Liangjun Chen Fenqiang Zhao Yuchen Pei Ya Wang Hongjiang Zhang Zhengwang Wu Ying Huang Tengfei Li Li Wang Yongchang Chen Weizhi Ji Yu Zhang Gang Li Yuyu Niu |
| author_sort | Tao Zhong |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T16:07:05Z |
| format | Article |
| id | doaj.art-8e66d5d706b2479e8aa90a112d443236 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-12-20T16:07:05Z |
| publishDate | 2022-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-8e66d5d706b2479e8aa90a112d4432362022-12-21T19:34:07ZengElsevierNeuroImage1095-95722022-02-01247118799Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of ageTao Zhong0Jingkuan Wei1Kunhua Wu2Liangjun Chen3Fenqiang Zhao4Yuchen Pei5Ya Wang6Hongjiang Zhang7Zhengwang Wu8Ying Huang9Tengfei Li10Li Wang11Yongchang Chen12Weizhi Ji13Yu Zhang14Gang Li15Yuyu Niu16Department of Radiology and BRIC, University of North Carolina Chapel Hill, USA; Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, ChinaState Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China; Yunnan Key Laboratory of Primate Biomedical Research, Kunming, ChinaDepartment of MRI, the First People’s Hospital of Yunnan Province, Kunming, ChinaDepartment of Radiology and BRIC, University of North Carolina Chapel Hill, USADepartment of Radiology and BRIC, University of North Carolina Chapel Hill, USADepartment of Radiology and BRIC, University of North Carolina Chapel Hill, USADepartment of Radiology and BRIC, University of North Carolina Chapel Hill, USADepartment of MRI, the First People’s Hospital of Yunnan Province, Kunming, ChinaDepartment of Radiology and BRIC, University of North Carolina Chapel Hill, USADepartment of Radiology and BRIC, University of North Carolina Chapel Hill, USADepartment of Radiology and BRIC, University of North Carolina Chapel Hill, USADepartment of Radiology and BRIC, University of North Carolina Chapel Hill, USAState Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China; Yunnan Key Laboratory of Primate Biomedical Research, Kunming, ChinaState Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China; Yunnan Key Laboratory of Primate Biomedical Research, Kunming, ChinaGuangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, ChinaDepartment of Radiology and BRIC, University of North Carolina Chapel Hill, USA; Corresponding authors at: Department of Radiology and BRIC, University of North Carolina Chapel Hill, USA.Corresponding author at: State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China.; State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China; Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China; Yunnan Key Laboratory of Primate Biomedical Research, Kunming, ChinaLongitudinal 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.http://www.sciencedirect.com/science/article/pii/S1053811921010703Longitudinal brain atlasesMRICynomolgus macaqueEarly brain development |
| spellingShingle | Tao Zhong Jingkuan Wei Kunhua Wu Liangjun Chen Fenqiang Zhao Yuchen Pei Ya Wang Hongjiang Zhang Zhengwang Wu Ying Huang Tengfei Li Li Wang Yongchang Chen Weizhi Ji Yu Zhang Gang Li Yuyu Niu Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age NeuroImage Longitudinal brain atlases MRI Cynomolgus macaque Early brain development |
| title | Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age |
| title_full | Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age |
| title_fullStr | Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age |
| title_full_unstemmed | Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age |
| title_short | Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age |
| title_sort | longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age |
| topic | Longitudinal brain atlases MRI Cynomolgus macaque Early brain development |
| url | http://www.sciencedirect.com/science/article/pii/S1053811921010703 |
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