Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA

Zhibin He, Shu Zhang, Songyao Zhang, Yin Zhang, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu, Lei Du, Tuo Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationMachine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Proceedings
EditorsMingxia Liu, Chunfeng Lian, Pingkun Yan, Xiaohuan Cao
PublisherSpringer Science and Business Media Deutschland GmbH
Pages465-473
Number of pages9
ISBN (Print)9783030598600
DOIs
StatePublished - 2020
Event11th International Workshop on Machine Learning in Medical Imaging, MLMI 2020, held in conjunction with the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020 - Lima, Peru
Duration: 4 Oct 20204 Oct 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12436 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Workshop on Machine Learning in Medical Imaging, MLMI 2020, held in conjunction with the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020
Country/TerritoryPeru
CityLima
Period4/10/204/10/20

Keywords

  • Locality preserving projection
  • Multi-view CCA
  • Preterm

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