ArticleScientific reports2020
Measuring robustness of brain networks in autism spectrum disorder with Ricci curvature.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Graph Ricci curvatures reveal atypical functional connectivity in autism spectrum disorder.Scientific reports · 2022Pooled it
- Curvature on Graphs with Negative Edge Weights.IEEE transactions on network science and engineering · 2026Article
- <p>Harnessing MSC‑derived exosomes to modulate the pathophysiology of ASD: Recent advances and therapeutic implications (Review)</p>.International journal of molecular medicine · 2026Review
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Stem Cell Therapy and Models for Autism Spectrum Disorder: Insights and Research.Current neuropharmacology · 2026Review
- Mesenchymal Stromal Cell Treatment Alleviates Autism Spectrum Disorder Symptoms: A Case Report.Cureus · 2025Article
- ORCO: Ollivier-Ricci Curvature-Omics-an unsupervised method for analyzing robustness in biological systems.Bioinformatics (Oxford, England) · 2025Article
- ORCO: Ollivier-Ricci Curvature-Omics - an unsupervised method for analyzing robustness in biological systems.bioRxiv : the preprint server for biology · 2024Article
- Discrete Ricci curvatures capture age-related changes in human brain functional connectivity networks.Frontiers in aging neuroscience · 2023Article
- Possible Effect of the use of Mesenchymal Stromal Cells in the Treatment of Autism Spectrum Disorders: A Review.Frontiers in cell and developmental biology · 2022Review
- Changes in the geometry and robustness of diffusion tensor imaging networks: Secondary analysis from a randomized controlled trial of young autistic children receiving an umbilical cord blood infusion.Frontiers in psychiatry · 2022Article
- Detecting network anomalies using Forman-Ricci curvature and a case study for human brain networks.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.