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


Authors: Simhal, A. K.; Carpenter, K. L. H.; Nadeem, S.; Kurtzberg, J.; Song, A.; Tannenbaum, A.; Sapiro, G.; Dawson, G.
Article Title: Measuring robustness of brain networks in autism spectrum disorder with Ricci curvature
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. © 2020, The Author(s).
Journal Title: Scientific Reports
Volume: 10
ISSN: 2045-2322
Publisher: Nature Publishing Group  
Date Published: 2020-01-01
Start Page: 10819
Language: English
DOI: 10.1038/s41598-020-67474-9
PUBMED: 32616759
PROVIDER: scopus
PMCID: PMC7331646
DOI/URL:
Notes: Article -- Export Date: 3 August 2020 -- Source: Scopus
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  1. Saad Nadeem
    14 Nadeem