标题:CHARTING DEVELOPMENT-BASED JOINT PARCELLATION MAPS OF HUMAN AND MACAQUE BRAINS DURING INFANCY
作者:Xia, Jing; Wang, Fan; Wu, Zhengwang; Wang, Li; Wang, Yaping; Zhang, Caiming; Lin, Weili; Shen, Dinggang; Li, Gang
通讯作者:Li, G;Li, G
作者机构:[Xia, Jing; Zhang, Caiming] Shandong Univ, Dept Comp Sci & Technol, Jinan, Shandong, Peoples R China.; [Xia, Jing; Wang, Fan; Wu, Zhengwang; Wang, L 更多
会议名称:16th IEEE International Symposium on Biomedical Imaging (ISBI)
会议日期:APR 08-11, 2019
来源:2019 IEEE 16TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2019)
出版年:2019
卷:2019-April
页码:422-425
DOI:10.1109/ISBI.2019.8759379
关键词:Macaque infants; joint parcellation
摘要:Comparative characterization of early brain development between human and macaque using neuroimaging data is crucial to understand the mechanisms of brain development and evolution. To this end, joint cortical parcellation maps of human and macaque infant brains with corresponding regions are highly desirable, since they provide basic cortical parcels for both region-based and network-based studies of two closely-related species. To address this issue, we propose to leverage developmental patterns of cortical properties of both human and macaque infants for creating joint parcellation maps with inter-species comparability. The motivation is that the developmental patterns of cortical properties indicate underlying rapid changes of microstructures, which determine the molecular and functional principles of the cortex. Thus, developmental patterns are well suitable for defining distinct cortical regions in both structures and functions. To comprehensively capture the similarities of developmental patterns of vertices on cortical surfaces, for each species, we first construct two complementary similarity matrices: a low-order matrix and a high-order matrix. Then, we non-linearly fuse these four matrices together as a single matrix in a hierarchical manner, thus capturing the common and complementary infot niation of both human and macaque infants. Finally, based on the fused similarity matrix, we apply the spectral clustering to derive the joint parcellation maps. By applying our method to 210 longitudinal human infant MRI scans and 140 longitudinal macaque infant MRI scans, we generate the first biologically-meaningful joint parcellation maps of human and macaque infants.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073911633&doi=10.1109%2fISBI.2019.8759379&partnerID=40&md5=4e5e5720df68017b78f5545b7d25c952
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