AIMC Topic: Brain Concussion

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Do children and adolescent ice hockey players with and without a history of concussion differ in robotic testing of sensory, motor and cognitive function?

Journal of neuroengineering and rehabilitation Oct 12, 2016
BACKGROUND: KINARM end point robotic testing on a range of tasks evaluating sensory, motor and cognitive function in children/adolescents with no neurologic impairment has been shown to be reliable. The objective of this study was to determine whethe...
Post-Concussion Syndrome Space Perception Hockey Trail Making Test Decision Making Robotics Attention Movement Brain Concussion Psychomotor Performance Sensation Male Adolescent Child Cognition Humans Female
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The effect of preprocessing pipelines in subject classification and detection of abnormal resting state functional network connectivity using group ICA.

NeuroImage Mar 23, 2016
Resting state functional network connectivity (rsFNC) derived from functional magnetic resonance (fMRI) imaging is emerging as a possible biomarker to identify several brain disorders. Recently it has been pointed out that methods used to preprocess ...
Male Middle Aged Adolescent Smoking Connectome Support Vector Machine Magnetic Resonance Imaging Female Aged Young Adult Adult Humans Brain Brain Concussion
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Test-retest reliability of KINARM robot sensorimotor and cognitive assessment: in pediatric ice hockey players.

Journal of neuroengineering and rehabilitation Sep 5, 2015
BACKGROUND: Better diagnostic and prognostic tools are needed to address issues related to early diagnosis and management of concussion across the continuum of aging but particularly in children and adolescents. The purpose of the current study was t...
Humans Hockey Prognosis Learning Prospective Studies Sensation Computer Simulation Neuropsychological Tests Adolescent Reproducibility of Results Cognition Brain Concussion Child Practice, Psychological Biomechanical Phenomena Treatment Outcome Male Longitudinal Studies Robotics Psychomotor Performance
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Volumetric and Diffusion Tensor Imaging Abnormalities Are Associated With Behavioral Changes Post-Concussion in a Youth Pig Model of Mild Traumatic Brain Injury.

NMR in biomedicine Jul 1, 2025
Mild traumatic brain injury (mTBI) caused by sports-related incidents in children and youth often leads to prolonged cognitive impairments but remains difficult to diagnose. In order to identify clinically relevant imaging and behavioral biomarkers a...
Brain Organ Size Female Male Diffusion Tensor Imaging Behavior, Animal Animals Brain Concussion Swine Disease Models, Animal
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Optimizing Concussion Care Seeking: Using Machine Learning to Predict Delayed Concussion Reporting.

The American journal of sports medicine Jul 1, 2024
BACKGROUND: Early medical attention after concussion may minimize symptom duration and burden; however, many concussions are undiagnosed or have a delay in diagnosis after injury. Many concussion symptoms (eg, headache, dizziness) are not visible, me...
Athletic Injuries Military Personnel Brain Concussion Young Adult Patient Acceptance of Health Care Adult Male United States Athletes Case-Control Studies Humans Machine Learning Adolescent Female
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Investigation of Machine Learning and Deep Learning Approaches for Detection of Mild Traumatic Brain Injury from Human Sleep Electroencephalogram.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Traumatic Brain Injury (TBI) is a highly prevalent and serious public health concern. Most cases of TBI are mild in nature, yet some individuals may develop following-up persistent disability. The pathophysiologic causes for those with persistent pos...
Humans Machine Learning Brain Concussion Deep Learning Electroencephalography Sleep
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Updating Diagnoses for Speed and Accuracy: Using AI, Cameras, Assays, and More.

IEEE pulse Jan 1, 2020
When it comes to their health, people want answers right now. But clinicians cannot always make snap judgments about ailments or injuries. One way to help both general practitioners and patients is to introduce technologies that deliver quick and acc...
Humans Diabetic Retinopathy Artificial Intelligence Young Adult Diagnostic Techniques, Ophthalmological Brain Concussion Adult Eye-Tracking Technology Image Interpretation, Computer-Assisted
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Machine Learning in Modeling High School Sport Concussion Symptom Resolve.

Medicine and science in sports and exercise Jul 1, 2019
INTRODUCTION: Concussion prevalence in sport is well recognized, so too is the challenge of clinical and return-to-play management for an injury with an inherent indeterminant time course of resolve. A clear, valid insight into the anticipated resolu...
Dizziness Athletic Injuries Return to Sport Clinical Decision-Making Adolescent Time Factors Football Brain Concussion Headache Attention Humans Machine Learning
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Recursive feature elimination for biomarker discovery in resting-state functional connectivity.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Biomarker discovery involves finding correlations between features and clinical symptoms to aid clinical decision. This task is especially difficult in resting state functional magnetic resonance imaging (rs-fMRI) data due to low SNR, high-dimensiona...
Signal-To-Noise Ratio Humans Image Processing, Computer-Assisted Brain Concussion Biomarkers Magnetic Resonance Imaging Brain Brain Mapping
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