ArticleCNS neuroscience & therapeutics2024
Distinct brain network patterns in complete and incomplete spinal cord injury patients based on graph theory analysis.
Article in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Brain network properties in chronic pain-a systematic review and meta-analysis of graph-based connectivity metrics.Frontiers in neuroscience · 2025Pooled it
- Altered Glymphatic-Related MRI Metrics and Brain Network Reorganization in Drug-Naive Children With Self-Limited Epilepsy With Centrotemporal Spikes.CNS neuroscience & therapeutics · 2026Article
- Article
- Effective Connectivity Alterations of Directed Brain Network in Pediatric Patients With Spinal Cord Injury.CNS neuroscience & therapeutics · 2025Article
- Differential gray and white matter alterations in children with complete and incomplete spinal cord injuries: a preliminary MRI study using voxel-based morphometry and tract-based spatial statistics.Brain structure & function · 2025Article
- Altered Brain Functional Connectivity and Topological Structural in Girls with Idiopathic Central Precocious Puberty: A Graph Theory Analysis Based on Resting-State fMRI.Children (Basel, Switzerland) · 2025Article
- Distinct brain network patterns in complete and incomplete spinal cord injury patients based on graph theory analysis.CNS neuroscience & therapeutics · 2024Article
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Authors and funding
13 authors.
Funding
Abstract
aimsTo compare the changes in brain network topological properties and structure-function coupling in patients with complete spinal cord injury (CSCI) and incomplete spinal cord injury (ICSCI), to unveil the potential neurobiological mechanisms underlying the different effects of CSCI and ICSCI on brain networks and identify objective neurobiological markers to differentiate between CSCI and ICSCI patients.
methodsThirty-five SCI patients (20 CSCI and 15 ICSCI) and 32 healthy controls (HCs) were included in the study. Here, networks were constructed using resting-state functional magnetic resonance imaging to analyze functional connectivity (FC) and diffusion tensor imaging for structural connectivity (SC). Then, graph theory analysis was used to examine SC and FC networks, as well as to estimate SC-FC coupling values.
resultsCompared with HCs, CSCI patients showed increased path length (Lp), decreased global efficiency (E
conclusionsThese results suggest that CSCI patients are characterized by decreased efficiency in the SC network, while ICSCI patients are distinguished by increased local connections and SC-FC decoupling. Moreover, the differences in network metrics between CSCI and ICSCI patients could serve as objective biological markers, providing a basis for diagnosis and treatment strategies.
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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.