Back to Search
Start Over
Measuring robustness of brain networks in autism spectrum disorder with Ricci curvature.
- 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.
- Subjects :
- Autism Spectrum Disorder therapy
Blood Transfusion, Autologous
Child, Preschool
Female
Humans
Male
Autism Spectrum Disorder diagnostic imaging
Autism Spectrum Disorder physiopathology
Diffusion Magnetic Resonance Imaging methods
Fetal Blood transplantation
Nerve Net diagnostic imaging
Nerve Net physiology
White Matter diagnostic imaging
White Matter physiology
Subjects
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