Brain Network Connectivity from Matching Cortical Feature Densities

David Lee, Kirsten A. Donald, Taykhoom Dalal, Catherine J. Wedderburn, Annerine Roos, Jonathan Ipser, Sivenesi Subramoney, Heather J. Zar, Dan J. Stein, Katherine L. Narr, Gerhard Hellemann, Roger P. Woods, Shantanu H. Joshi

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

Abstract

We present a new method for constructing structural inference brain networks from functional measures of cortical features. Instead of averaging vertex-wise cortical features, we propose the use of full functions of spatial densities of measures such as thickness and use two dimensional pairwise correlations between regions to construct population networks. We show increased within group correlations for both healthy controls and toddlers with prenatal alcohol exposure compared to the existing mean-based correlation approach. Further, we also show significant differences in brain connectivity between the healthy controls and the exposed group.

Original languageEnglish
Title of host publicationISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging
PublisherIEEE Computer Society
Pages995-998
Number of pages4
ISBN (Electronic)9781538693308
DOIs
StatePublished - Apr 2020
Externally publishedYes
Event17th IEEE International Symposium on Biomedical Imaging, ISBI 2020 - Iowa City, United States
Duration: 3 Apr 20207 Apr 2020

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2020-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference17th IEEE International Symposium on Biomedical Imaging, ISBI 2020
Country/TerritoryUnited States
CityIowa City
Period3/04/207/04/20

Keywords

  • brain connectivity
  • brain networks
  • kernel density
  • structural association networks

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