Measuring robustness of brain networks in autism spectrum disorder with Ricci curvature.

Published online

Journal Article

Ollivier-Ricci curvature is a method for measuring the robustness of connections in a network. In this work, we use curvature to measure changes in robustness of brain networks in children with autism spectrum disorder (ASD). In an open label clinical trials, participants with ASD were administered a single infusion of autologous umbilical cord blood and, as part of their clinical outcome measures, were imaged with diffusion MRI before and after the infusion. By using Ricci curvature to measure changes in robustness, we quantified both local and global changes in the brain networks and their potential relationship with the infusion. Our results find changes in the curvature of the connections between regions associated with ASD that were not detected via traditional brain network analysis.

Full Text

Duke Authors

Cited Authors

  • Simhal, AK; Carpenter, KLH; Nadeem, S; Kurtzberg, J; Song, A; Tannenbaum, A; Sapiro, G; Dawson, G

Published Date

  • July 2, 2020

Published In

Volume / Issue

  • 10 / 1

Start / End Page

  • 10819 -

PubMed ID

  • 32616759

Pubmed Central ID

  • 32616759

Electronic International Standard Serial Number (EISSN)

  • 2045-2322

Digital Object Identifier (DOI)

  • 10.1038/s41598-020-67474-9

Language

  • eng

Conference Location

  • England