ArticleScientific reports2020
Traumatic Brain Injury Severity in a Network Perspective: A Diffusion MRI Based Connectome Study.
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 22 papers, 3 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 46 citations in OpenAlex.
- Mapping cognitive deficits in cancer patients after chemotherapy: An Activation Likelihood Estimation meta-analysis of task-related fMRI studies.Brain imaging and behavior · 2022Pooled it
- The second decade of DTI in TBI part 1: a systematic review of mild TBI.Frontiers in neurologyPooled it
- The second decade of DTI in TBI Part 2: a systematic review of moderate and severe TBI.Frontiers in neurologyPooled it
- Micron-resolution fiber mapping in histology independent of sample preparation.Nature communications · 2025Article
- Micron-resolution fiber mapping in histology independent of sample preparation.bioRxiv : the preprint server for biology · 2025Article
- Graph Analysis of the Visual Cortical Network during Naturalistic Movie Viewing Reveals Increased Integration and Decreased Segregation Following Mild TBI.Vision (Basel, Switzerland) · 2024Article
- Disrupted topological organization of functional brain networks in traumatic axonal injury.Brain imaging and behavior · 2024Article
- Knowledge and attitudes toward mild traumatic brain injury among patients and family members.Frontiers in public health · 2024Article
- Volumetric MRI Findings in Mild Traumatic Brain Injury (mTBI) and Neuropsychological Outcome.Neuropsychology review · 2023Review
- Exploring personalized structural connectomics for moderate to severe traumatic brain injury.Network neuroscience (Cambridge, Mass.) · 2023Article
- Structural-functional connectivity bandwidth predicts processing speed in mild traumatic brain Injury: A multiplex network analysis.NeuroImage. Clinical · 2023Article
- Article
- Connectomic assessment of injury burden and longitudinal structural network alterations in moderate-to-severe traumatic brain injury.Human brain mapping · 2022Article
- Brain architecture-based vulnerability to traumatic injury.Frontiers in bioengineering and biotechnology · 2022Article
- General additive models address statistical issues in diffusion MRI: An example with clinically anxious adolescents.NeuroImage. Clinical · 2022Article
- Structure can predict function in the human brain: a graph neural network deep learning model of functional connectivity and centrality based on structural connectivity.Brain structure & function · 2022Article
- Symptoms reported by Canadians posted in Havana are linked with reduced white matter fibre density.Brain communications · 2022Article
- Topological Aberrance of Structural Brain Network Provides Quantitative Substrates of Post-Traumatic Brain Injury Attention Deficits in Children.Brain connectivity · 2021Article
- Cortical disconnection in temporal lobe epilepsy.Epilepsy & behavior : E&B · 2021Article
- Multi-Modal Analysis of Resting-State fMRI Data in mTBI Patients and Association With Neuropsychological Outcomes.Frontiers in neurology · 2021Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traumatic brain injury (TBI) is often characterized by alterations in brain connectivity. We explored connectivity alterations from a network perspective, using graph theory, and examined whether injury severity affected structural connectivity and modulated the association between brain connectivity and cognitive deficits post-TBI. We performed diffusion imaging network analysis on chronic TBI patients, with different injury severities and healthy subjects. From both global and local perspectives, we found an effect of injury severity on network strength. In addition, regions which were considered as hubs differed between groups. Further exploration of graph measures in the determined hub regions showed that efficiency of six regions differed between groups. An association between reduced efficiency in the precuneus and nonverbal abstract reasoning deficits (calculated using actual pre-injury scores) was found in the controls but was lost in TBI patients. Our results suggest that disconnection of network hubs led to a less efficient network, which in turn may have contributed to the cognitive impairments manifested in TBI patients. We conclude that injury severity modulates the disruption of network organization, reflecting a "dose response" relationship and emphasize the role of efficiency as an important diagnostic tool to detect subtle brain injury specifically in mild TBI patients.
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