TY - GEN
T1 - Species-Preserved Structural Connections Revealed by Sparse Tensor CCA
AU - He, Zhibin
AU - Huang, Ying
AU - Liu, Tianming
AU - Guo, Lei
AU - Du, Lei
AU - Zhang, Tuo
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2019.
PY - 2019
Y1 - 2019
N2 - Comparative evolution studies can advance the understating of the brain’s functional and structural mechanisms. Efforts have been denoted in the literature to identify structural common connectome preserved between a pair of species, such as macaques and humans. However, very few studies were reported to identify species-preserved structural connections systematically and simultaneously across more than two species at a connectome-scale. In this work, we used diffusion MRI (dMRI) and Brodmann areas as established tools to estimate the whole-brain connectome for three primates: macaque, chimpanzee and human. We designed a sparse tensor canonical correlation analysis (STCCA) algorithm to identify the connective components that are strongly correlated among the three species. Joint analysis of the components can help to identify the white matter pathways preserved among three species. These preserved connections are consistent with the existing neuroscience reports, demonstrating the effectiveness and promise of this framework.
AB - Comparative evolution studies can advance the understating of the brain’s functional and structural mechanisms. Efforts have been denoted in the literature to identify structural common connectome preserved between a pair of species, such as macaques and humans. However, very few studies were reported to identify species-preserved structural connections systematically and simultaneously across more than two species at a connectome-scale. In this work, we used diffusion MRI (dMRI) and Brodmann areas as established tools to estimate the whole-brain connectome for three primates: macaque, chimpanzee and human. We designed a sparse tensor canonical correlation analysis (STCCA) algorithm to identify the connective components that are strongly correlated among the three species. Joint analysis of the components can help to identify the white matter pathways preserved among three species. These preserved connections are consistent with the existing neuroscience reports, demonstrating the effectiveness and promise of this framework.
KW - Diffusion MRI
KW - Large-scale connectome
KW - Species comparison
UR - http://www.scopus.com/inward/record.url?scp=85075551197&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-33226-6_6
DO - 10.1007/978-3-030-33226-6_6
M3 - 会议稿件
AN - SCOPUS:85075551197
SN - 9783030332259
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 49
EP - 56
BT - Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Proceedings
A2 - Zhu, Dajiang
A2 - Yan, Jingwen
A2 - Huang, Heng
A2 - Shen, Li
A2 - Thompson, Paul M.
A2 - Westin, Carl-Fredrik
A2 - Pennec, Xavier
A2 - Joshi, Sarang
A2 - Nielsen, Mads
A2 - Sommer, Stefan
A2 - Fletcher, Tom
A2 - Durrleman, Stanley
PB - Springer
T2 - 4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2019
Y2 - 17 October 2019 through 17 October 2019
ER -