Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization

Songyao Zhang, Lei Du, Jinglei Lv, Zhibin He, Xi Jiang, Lei Guo, Li Wang, Tianming Liu, Dinggang Shen, Gang Li, Tuo Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cerebral cortex development undergoes a variety of alternate processes, providing valuable information to study the developmental mechanism of the cortical folding and the structural and functional architectures. Many longitudinal studies are performed on the development of sulci using features like sulcal depth, but the gyral system is less studied. To fill the gap, we propose a novel feature, termed gyral height, to quantify the longitudinal developmental patterns of gyri. Another practical problem is the difficulty of obtaining data for all time points for all subjects, even in animal datasets, such as the macaque neurodevelopment dataset in this work. Therefore, we develop a novel method by introducing a scattered factor to the orthogonal nonnegative matrix factorization to align data both longitudinally and cross-sectionally. By this method, the gyral height feature maps are decomposed into orthogonal cortical clusters which encode spatiotemporal patterns. Close relations are found between these clusters and anatomical, structural connective and functional metrics, suggesting the potential of the novel cortical feature and the method in investigating the brain development.

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
Pages394-403
Number of pages10
ISBN (Print)9783030598600
DOIs
Publication statusPublished - 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: 2020 Oct 42020 Oct 4

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
CountryPeru
CityLima
Period20/10/420/10/4

Keywords

  • Gyral height
  • Orthogonal nonnegative matrix factorization

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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