ArticleNeuroImage. Clinical2019
Graph theory analysis of DTI tractography in children with traumatic injury.
Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Challenges and opportunities for neuroimaging in young patients with traumatic brain injury: a coordinated effort towards advancing discovery from the ENIGMA pediatric moderate/severe TBI group.Brain imaging and behavior · 2021Pooled it
- A Brain Connectivity Approach to Detect Diffusion-Weighted Imaging Changes in Post-Traumatic Epilepsy.Bioengineering (Basel, Switzerland) · 2026Article
- Alterations of White Matter Structural Brain Network in Children With Sensorineural Hearing Loss: A Graph Theory Analysis for Auditory Sensitivity Period.Neural plasticity · 2026Article
- Relation of MRI visible perivascular spaces with global and regional brain structural connectivity measures: The Framingham Heart Study (FHS).Neurobiology of aging · 2025Article
- Impaired Topological Architecture of Structural Brain Networks in Obstructive Sleep Apnea: A DTI Study.Nature and science of sleep · 2025Article
- Investigation of causal associations between cerebral cortical structure and Barrett's esophagus: insights from Mendelian randomization and meta-analysis.Journal of thoracic disease · 2024Article
- Bayesian varying-effects vector autoregressive models for inference of brain connectivity networks and covariate effects in pediatric traumatic brain injury.Human brain mapping · 2024Article
- Distinct alterations in white matter properties and organization related to maternal treatment initiation in neonates exposed to HIV but uninfected.Scientific reports · 2024Article
- Altered brain white matter structural motor network in spinocerebellar ataxia type 3.Annals of clinical and translational neurology · 2023Article
- Aberrant dynamic Functional-Structural connectivity coupling of Large-scale brain networks in poststroke motor dysfunction.NeuroImage. Clinical · 2023Article
- Altered longitudinal structural connectome in paediatric mild traumatic brain injury: an Advancing Concussion Assessment in Paediatrics study.Brain communications · 2023Article
- Structural connectome differences in pediatric mild traumatic brain and orthopedic injury.Human brain mapping · 2022Article
- Multisite Harmonization of Structural DTI Networks in Children: An A-CAP Study.Frontiers in neurology · 2022Article
- Effective connectivity in the default mode network after paediatric traumatic brain injury.The European journal of neuroscience · 2022Article
- Potential biomarkers for distinguishing primary from acquired premature ejaculation: A diffusion tensor imaging based network study.Frontiers in neuroscience · 2022Article
- Topological Aberrance of Structural Brain Network Provides Quantitative Substrates of Post-Traumatic Brain Injury Attention Deficits in Children.Brain connectivity · 2021Article
- White Matter Disruption in Pediatric Traumatic Brain Injury: Results From ENIGMA Pediatric Moderate to Severe Traumatic Brain Injury.Neurology · 2021Article
- BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks.Neuroinformatics · 2021Article
- BCCT: A GUI Toolkit for Brain Structural Covariance Connectivity Analysis on MATLAB.Frontiers in human neuroscience · 2021Article
- Predicting Concussion Outcome by Integrating Finite Element Modeling and Network Analysis.Frontiers in bioengineering and biotechnology · 2020Article
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Authors and funding
3 authors at 1 institution in 1 country.
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Abstract
objectiveTo evaluate brai structural connectivity in children with traumatic injury (TI) following a motor vehicle accident using graph theory analysis of DTI tractography data.
methodsDTI scans were acquired on a 3 T Philips scanner from children aged 8-15 years approximately 2 months post-injury. The TI group consisted of children with traumatic brain injury (TBI; n = 44) or extracranial injury (EI; n = 23). Healthy control children (n = 36) were included as an age-matched comparison group. A graph theory approach was applied to DTI tractography data to investigate injury-related differences in connectivity network characteristics. Group differences in structural connectivity evidenced by graph metrics including efficiency, strength, and modularity were assessed using the multi-threshold permutation correction (MTPC) and network-based statistic (NBS) methods.
resultsAt the global network level, global efficiency and mean network strength were lower, and modularity was higher, in the TBI than in the control group. Similarly, strength was lower and modularity higher when comparing the EI to the control group. At the vertex level, nodal efficiency, vertex strength, and average shortest path length were different between all pairwise comparisons of the three groups. Both nodal efficiency and vertex strength were higher in the control than in the EI group, which in turn were higher than in the TBI group. The opposite between-group relationships were seen with path length. These between-group differences were distributed throughout the brain, in both hemispheres. NBS analysis resulted in a cluster of 22 regions and 21 edges with significantly lower connectivity in the TBI group compared to controls. This cluster predominantly involves the frontal lobe and subcortical gray matter structures in both hemispheres.
conclusionsGraph theory analysis of DTI tractography showed diffuse differences in structural brain network connectivity in children 2 months post-TI. Network differences were consistent with lower network integration and higher segregation in the injured groups compared to healthy controls. Findings suggest that inclusion of trauma-exposed comparison groups in studies of TBI outcome is warranted to better characterize the indirect effect of stress on brain networks.
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