Literature DB >> 29705573

The long-term outcomes of sport-related concussion in pediatric populations.

R Davis Moore1, Jacob J Kay2, Dave Ellemberg3.   

Abstract

Although the field of concussion research is rapidly growing, the majority of research has focused on injured adults, with children being an often-neglected population. Traumatic brain injury is a leading cause of death and disability in children, with over 1.5 million cases being treated in North America annually. Approximately 75% of these injuries are classified as a concussion. Further, children are disproportionately affected by sports-related injuries, with 65% of all pediatric concussions occurring during sport and recreation. Therefore, understanding the outcomes of pediatric sportrelated concussion is of great importance, particularly given the vulnerability of the developing brain. The purpose of this review is to provide an up-to-date understanding of the outcomes of pediatric sport-related concussion from a data-driven perspective, focusing heavily on experimental studies.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Children; Concussion; Functional outcomes; Sports; TBI

Mesh:

Year:  2018        PMID: 29705573     DOI: 10.1016/j.ijpsycho.2018.04.003

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  5 in total

1.  Disrupted Information Flow in Resting-State in Adolescents With Sports Related Concussion.

Authors:  Dionissios T Hristopulos; Arif Babul; Shazia'Ayn Babul; Leyla R Brucar; Naznin Virji-Babul
Journal:  Front Hum Neurosci       Date:  2019-12-12       Impact factor: 3.169

Review 2.  Epidemiology of Chronic Effects of Traumatic Brain Injury.

Authors:  Juliet Haarbauer-Krupa; Mary Jo Pugh; Eric M Prager; Nicole Harmon; Jessica Wolfe; Kristine Yaffe
Journal:  J Neurotrauma       Date:  2021-08-17       Impact factor: 4.869

3.  Loss and recovery after concussion: Adolescent patients give voice to their concussion experience.

Authors:  Romita Choudhury; Ash Kolstad; Vishvesh Prajapati; Gina Samuel; Keith Owen Yeates
Journal:  Health Expect       Date:  2020-10-07       Impact factor: 3.377

4.  Recurrent neural network-based acute concussion classifier using raw resting state EEG data.

Authors:  Arif Babul; Brandon Foran; Maya Bielecki; Adam Gilchrist; Dionissios T Hristopulos; Leyla R Brucar; Naznin Virji-Babul; Karun Thanjavur
Journal:  Sci Rep       Date:  2021-06-11       Impact factor: 4.379

5.  Susceptibility-Weighted Magnetic Resonance Imaging (MRI) of Microbleeds in Pediatric Concussion.

Authors:  Shane Virani; Alexander Barton; Bradley G Goodyear; Keith Owen Yeates; Brian L Brooks
Journal:  J Child Neurol       Date:  2021-05-08       Impact factor: 1.987

  5 in total

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