Measuring robustness of brain networks in autism spectrum disorder with Ricci curvature.
Anish K SimhalKimberly L H CarpenterSaad NadeemJoanne KurtzbergAllen SongAllen TannenbaumGuillermo SapiroGeraldine DawsonPublished in: Scientific reports (2020)
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.
Keyphrases
- autism spectrum disorder
- resting state
- white matter
- network analysis
- attention deficit hyperactivity disorder
- clinical trial
- umbilical cord
- intellectual disability
- low dose
- mesenchymal stem cells
- functional connectivity
- cerebral ischemia
- magnetic resonance imaging
- bone marrow
- risk assessment
- cell therapy
- magnetic resonance
- stem cells