Detection of differentially developed functional connectivity patterns in adolescents based on tensor discriminative analysis

Jian Fang, Julia Stephen, Tony Wilson, Vince Daniel Calhoun, Yu Ping Wang

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

Abstract

Adolescence is a crucial time for the development of functional connectivity, and the tuning process changes under different physical and cognitive status. However, there is still a lack of knowledge on where and how functional development changes across this age range. In this paper, we introduce a discriminative tensor decomposition method to detect differentially developed functional connectivity patterns. The method is a combination of the Fisher's discriminative analysis and CANDECOMP/PARAFAC(CP) decomposition, linked by a novel discriminative developmental ratio. A sequential orthogonal decomposition algorithm is then proposed to efficiently solve the problem. The method is validated by a real dataset, which contains functional connectivity maps for each individual. We separate the subjects by sex and use a sliding window approach over age to obtain two correlation tensors. Applying our method to the two tensors, we can detect connectivity patterns with differential development in sex. Our results show evidence for developmental differences between girls and boys that are largest during puberty.

Original languageEnglish (US)
Title of host publication2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
PublisherIEEE Computer Society
Pages10-14
Number of pages5
Volume2018-April
ISBN (Electronic)9781538636367
DOIs
StatePublished - May 23 2018
Externally publishedYes
Event15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, United States
Duration: Apr 4 2018Apr 7 2018

Other

Other15th IEEE International Symposium on Biomedical Imaging, ISBI 2018
CountryUnited States
CityWashington
Period4/4/184/7/18

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Keywords

  • Adolescent
  • Brain development
  • Functional connectivity
  • Tensor decomposition

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Fang, J., Stephen, J., Wilson, T., Calhoun, V. D., & Wang, Y. P. (2018). Detection of differentially developed functional connectivity patterns in adolescents based on tensor discriminative analysis. In 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018 (Vol. 2018-April, pp. 10-14). IEEE Computer Society. https://doi.org/10.1109/ISBI.2018.8363512