ArticleFrontiers in human neuroscience2019
Disrupted Information Flow in Resting-State in Adolescents With Sports Related Concussion.
Article in Frontiers in human neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 41 citations in OpenAlex.
- Estimation of Information Flow-Based Causality with Coarsely Sampled Time Series.Entropy (Basel, Switzerland) · 2025Article
- Linking a Deep Learning Model for Concussion Classification with Reorganization of Large-Scale Brain Networks in Female Youth.Bioengineering (Basel, Switzerland) · 2025Article
- A Comparative Neuroimaging Review of Repetitive Head Impacts and Mild Traumatic Brain Injury from Pediatrics to Professionals.Neurotrauma reports · 2025Review
- Cognitive and Salience Network Connectivity Changes following a Single Season of Repetitive Head Impact Exposure in High School Football.AJNR. American journal of neuroradiology · 2024Article
- Distinct Effects of Brain Activation Using tDCS and Observational Practice: Implications for Motor Rehabilitation.Brain sciences · 2024Article
- Altered default mode network causal connectivity patterns in autism spectrum disorder revealed by Liang information flow analysis.Human brain mapping · 2023Article
- Blink-related EEG oscillations are neurophysiological indicators of subconcussive head impacts in female soccer players: a preliminary study.Frontiers in human neuroscience · 2023Article
- Alterations in the Magnetoencephalography Default Mode Effective Connectivity following Concussion.AJNR. American journal of neuroradiology · 2021Article
- El Niño Modoki can be mostly predicted more than 10 years ahead of time.Scientific reports · 2021Article
- Recurrent neural network-based acute concussion classifier using raw resting state EEG data.Scientific reports · 2021Article
- Normalized Multivariate Time Series Causality Analysis and Causal Graph Reconstruction.Entropy (Basel, Switzerland) · 2021Article
- A Note on Causation versus Correlation in an Extreme Situation.Entropy (Basel, Switzerland) · 2021Article
- Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors.Frontiers in human neuroscience · 2021Article
- The Effects of Mild Traumatic Brain Injury on Cognitive-Motor Integration for Skilled Performance.Frontiers in neurology · 2020Article
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Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Children and youths are at a greater risk of concussions than adults, and once injured, take longer to recover. A key feature of concussion is an increase in functional connectivity, yet it remains unclear how changes in functional connectivity relate to the patterns of information flow within resting state networks following concussion and how these relate to brain function. We applied a data-driven measure of directed effective brain connectivity to compare the patterns of information flow in healthy adolescents and adolescents with subacute concussion during the resting state condition. Data from 32 healthy adolescents (mean age =16 years) and 21 concussed adolescents (mean age = 15 years) within 1 week of injury were included in the study. Five minutes of resting state data EEG were collected while participants sat quietly with their eyes closed. We applied the information flow rate to measure the transfer of information between the EEG time series of each individual at different source locations, and therefore between different brain regions. Based on the ensemble means of the magnitude of normalized information flow rate, our analysis shows that the dominant nexus of information flow in healthy adolescents is primarily left lateralized and anterior-centric, characterized by strong bidirectional information exchange between the frontal regions, and between the frontal and the central/temporal regions. In contrast, adolescents with concussion show distinct differences in information flow marked by a more left-right symmetrical, albeit still primarily anterior-centric, pattern of connections, diminished activity along the central-parietal midline axis, and the emergence of inter-hemispheric connections between the left and right frontal and the left and right temporal regions of the brain. We also find that the statistical distribution of the normalized information flow rates in each group (control and concussed) is significantly different. This paper is the first to describe the characteristics of the source space information flow and the effective connectivity patterns between brain regions in healthy adolescents in juxtaposition with the altered spatial pattern of information flow in adolescents with concussion, statistically quantifying the differences in the distribution of the information flow rate between the two populations. We hypothesize that the observed changes in information flow in the concussed group indicate functional reorganization of resting state networks in response to brain injury.
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