ArticlePloS one2018
Diminished neural network dynamics after moderate and severe traumatic brain injury.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 32 citations in OpenAlex.
- Reproducibility of resting-state functional connectivity in healthy aging and brain injury: A mini-multiverse analysis.Network neuroscience (Cambridge, Mass.) · 2025Article
- Weighted Coherence Analysis as a Window into the Neurophysiological Effects of Traumatic Brain Injury.Bioengineering (Basel, Switzerland) · 2024Article
- ENIGMA's simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury.NeuroImage. Clinical · 2024Review
- Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics.Network neuroscience (Cambridge, Mass.) · 2022Article
- Brain architecture-based vulnerability to traumatic injury.Frontiers in bioengineering and biotechnology · 2022Article
- GAT-FD: An integrated MATLAB toolbox for graph theoretical analysis of task-related functional dynamics.PloS one · 2022Article
- Abnormal Functional Network Topology and Its Dynamics during Sustained Attention Processing Significantly Implicate Post-TBI Attention Deficits in Children.Brain sciences · 2021Article
- Detecting functional connectivity disruptions in a translational pediatric traumatic brain injury porcine model using resting-state and task-based fMRI.Scientific reports · 2021Article
- Compensatory functional connectome changes in a rat model of traumatic brain injury.Brain communications · 2021Article
- Peering into the Brain through the Retrosplenial Cortex to Assess Cognitive Function of the Injured Brain.Neurotrauma reports · 2021Article
- Cingulo-Opercular and Frontoparietal Network Control of Effort and Fatigue in Mild Traumatic Brain Injury.Frontiers in human neuroscience · 2021Article
- Does the child brain rest?: An examination and interpretation of resting cognition in developmental cognitive neuroscience.NeuroImage · 2020Review
- Neurodegeneration exposes firing rate dependent effects on oscillation dynamics in computational neural networks.PloS one · 2020Article
- Deep Temporal Organization of fMRI Phase Synchrony Modes Promotes Large-Scale Disconnection in Schizophrenia.Frontiers in neuroscience · 2020Article
- Dynamic Functional Network Analysis in Mild Traumatic Brain Injury.Brain connectivity · 2019Article
- Dynamic functional connectivity in schizophrenia and autism spectrum disorder: Convergence, divergence and classification.NeuroImage. Clinical · 2019Article
- Diminished neural network dynamics in amnestic mild cognitive impairment.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2018Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the past decade there has been increasing enthusiasm in the cognitive neurosciences around using network science to understand the system-level changes associated with brain disorders. A growing literature has used whole-brain fMRI analysis to examine changes in the brain's subnetworks following traumatic brain injury (TBI). Much of network modeling in this literature has focused on static network mapping, which provides a window into gross inter-nodal relationships, but is insensitive to more subtle fluctuations in network dynamics, which may be an important predictor of neural network plasticity. In this study, we examine the dynamic connectivity with focus on state-level connectivity (state) and evaluate the reliability of dynamic network states over the course of two runs of intermittent task and resting data. The goal was to examine the dynamic properties of neural networks engaged periodically with task stimulation in order to determine: 1) the reliability of inter-nodal and network-level characteristics over time and 2) the transitions between distinct network states after traumatic brain injury. To do so, we enrolled 23 individuals with moderate and severe TBI at least 1-year post injury and 19 age- and education-matched healthy adults using functional MRI methods, dynamic connectivity modeling, and graph theory. The results reveal several distinct network "states" that were reliably evident when comparing runs; the overall frequency of dynamic network states are highly reproducible (r-values>0.8) for both samples. Analysis of movement between states resulted in fewer state transitions in the TBI sample and, in a few cases, brain injury resulted in the appearance of states not exhibited by the healthy control (HC) sample. Overall, the findings presented here demonstrate the reliability of observable dynamic mental states during periods of on-task performance and support emerging evidence that brain injury may result in diminished network dynamics.
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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.