Abstract
The perinatal period is a critical time of development of brain cortex, structural connection and function. Therefore, A premature exposure to the extrauterine environment is suggested to have the downstream consequences of abnormality in brain structure, function and cognition. A comparative study between the preterm infant brains and term ones at the term-equivalent age provides a valuable window to investigate the normal and abnormal developmental mechanism of these interwound developmental processes. Most of works focused only on one of these processes, and very few studies are found to interpret how these processes interact with each other and how such interactions have been altered on preterm infants’ brains. To fill this gap, we propose a multi-view canonical correlation analysis (CCA) method with the locality preserving projection (LPP) constraint and the age regression constraint, by which interactions between these interwound structural and functional features are identified to maximize the discrimination between preterm and term groups. Our findings on the interaction patterns among structural and functional features find supports from previous reports and provide new knowledge to the development patterns of infant brains.
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Acknowledgements
T Zhang, L Du, X Jiang and L Guo were supported by the National Natural Science Foundation of China (31971288, 61973255, 61703073, 61976045, 61936007 and U1801265); S Zhang was supported by the Fundamental Research Funds for the Central Universities (D5000200555) and High-level researcher start-up projects (06100-20GH020161).
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He, Z. et al. (2020). Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA. In: Liu, M., Yan, P., Lian, C., Cao, X. (eds) Machine Learning in Medical Imaging. MLMI 2020. Lecture Notes in Computer Science(), vol 12436. Springer, Cham. https://doi.org/10.1007/978-3-030-59861-7_47
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DOI: https://doi.org/10.1007/978-3-030-59861-7_47
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