ArticleClinical biomechanics (Bristol, Avon)2019
Changes in event-related potential functional networks predict traumatic brain injury in piglets.
Article in Clinical biomechanics (Bristol, Avon), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Distinct Serum Glial Fibrillary Acidic Protein and Neurofilament Light Time-Courses After Rapid Head Rotations.Journal of neurotrauma · 2024Article
- Altered Auditory and Visual Evoked Potentials following Single and Repeated Low-Velocity Head Rotations in 4-Week-Old Swine.Biomedicines · 2023Article
- Improving Understanding and Outcomes of Traumatic Brain Injury Using Bidirectional Translational Research.Journal of neurotrauma · 2020Review
- Toward development of clinically translatable diagnostic and prognostic metrics of traumatic brain injury using animal models: A review and a look forward.Experimental neurology · 2019Review
- The pig as a preclinical traumatic brain injury model: current models, functional outcome measures, and translational detection strategies.Neural regeneration research · 2019Review
- Challenges and demand for modeling disorders of consciousness following traumatic brain injury.Neuroscience and biobehavioral reviews · 2019Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundTraumatic brain injury is a leading cause of cognitive and behavioral deficits in children in the US each year. None of the current diagnostic tools, such as quantitative cognitive and balance tests, have been validated to identify mild traumatic brain injury in infants, adults and animals. In this preliminary study, we report a novel, quantitative tool that has the potential to quickly and reliably diagnose traumatic brain injury and which can track the state of the brain during recovery across multiple ages and species.
methodsUsing 32 scalp electrodes, we recorded involuntary auditory event-related potentials from 22 awake four-week-old piglets one day before and one, four, and seven days after two different injury types (diffuse and focal) or sham. From these recordings, we generated event-related potential functional networks and assessed whether the patterns of the observed changes in these networks could distinguish brain-injured piglets from non-injured.
findingsPiglet brains exhibited significant changes after injury, as evaluated by five network metrics. The injury prediction algorithm developed from our analysis of the changes in the event-related potentials functional networks ultimately produced a tool with 82% predictive accuracy.
interpretationThis novel approach is the first application of auditory event-related potential functional networks to the prediction of traumatic brain injury. The resulting tool is a robust, objective and predictive method that offers promise for detecting mild traumatic brain injury, in particular because collecting event-related potentials data is noninvasive and inexpensive.
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