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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.

SUBMITTER: Simhal AK

PROVIDER: S-EPMC7331646 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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

Simhal Anish K AK Carpenter Kimberly L H KLH Nadeem Saad S Kurtzberg Joanne J Song Allen A Tannenbaum Allen A Sapiro Guillermo G Dawson Geraldine G

Scientific reports 20200702 1

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 ...[more]

PMID: 32616759

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