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

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

NeuroImage (Feb 2022)

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

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

Affiliations

Tao Zhong: Department 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, China
Jingkuan Wei: State 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, China
Kunhua Wu: Department of MRI, the First People’s Hospital of Yunnan Province, Kunming, China
Liangjun Chen: Department of Radiology and BRIC, University of North Carolina Chapel Hill, USA
Fenqiang Zhao: Department of Radiology and BRIC, University of North Carolina Chapel Hill, USA
Yuchen Pei: Department of Radiology and BRIC, University of North Carolina Chapel Hill, USA
Ya Wang: Department of Radiology and BRIC, University of North Carolina Chapel Hill, USA
Hongjiang Zhang: Department of MRI, the First People’s Hospital of Yunnan Province, Kunming, China
Zhengwang Wu: Department of Radiology and BRIC, University of North Carolina Chapel Hill, USA
Ying Huang: Department of Radiology and BRIC, University of North Carolina Chapel Hill, USA
Tengfei Li: Department of Radiology and BRIC, University of North Carolina Chapel Hill, USA
Li Wang: Department of Radiology and BRIC, University of North Carolina Chapel Hill, USA
Yongchang Chen: State 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, China
Weizhi Ji: State 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, China
Yu Zhang: Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China
Gang Li: Department 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.
Yuyu Niu: 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, China

Journal volume & issue: Vol. 247
p. 118799

Abstract

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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.

Published in NeuroImage

ISSN: 1053-8119 (Print); 1095-9572 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
Website: https://www.journals.elsevier.com/neuroimage

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