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

Authors :
Simhal AK
Carpenter KLH
Nadeem S
Kurtzberg J
Song A
Tannenbaum A
Sapiro G
Dawson G
Source :
Scientific reports [Sci Rep] 2020 Jul 02; Vol. 10 (1), pp. 10819. Date of Electronic Publication: 2020 Jul 02.
Publication Year :
2020

Abstract

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.

Details

Language :
English
ISSN :
2045-2322
Volume :
10
Issue :
1
Database :
MEDLINE
Journal :
Scientific reports
Publication Type :
Academic Journal
Accession number :
32616759
Full Text :
https://doi.org/10.1038/s41598-020-67474-9