Literature DB >> 30014761

Resting State Electroencephalography and Sports-Related Concussion: A Systematic Review.

Alexander C Conley1,2,3,4, Patrick S Cooper1,2,3, Frini Karayanidis1,2,3, Andrew J Gardner2,5,6, Chris R Levi1,2,3,5,6, Peter Stanwell2,7, Michael B Gaetz8, Grant L Iverson9,10,11,12.   

Abstract

Sports-related concussion is associated with a range of short-term functional deficits that are commonly thought to recover within a two-week post-injury period for most, but certainly not all, persons. Resting state electroencephalography (rs-EEG) may prove to be an affordable, accessible, and sensitive method of assessing severity of brain injury and rate of recovery after a concussion. This article presents a systematic review of rs-EEG in sports-related concussion. A systematic review of articles published in the English language, up to June 2017, was retrieved via PsychINFO, Medline, Medline In Process, Embase, SportDiscus, CINAHL, and Cochrane Library, Reviews, and Trials. The following key words were used for database searches: electroencephalography, quantitative electroencephalography, qEEG, cranio-cerebral trauma, mild traumatic brain injury, mTBI, traumatic brain injury, brain concussion, concussion, brain damage, sport, athletic, and athlete. Observational, cohort, correlational, cross-sectional, and longitudinal studies were all included in the current review. Sixteen articles met inclusion criteria, which included data on 504 athletes and 367 controls. All 16 articles reported some abnormality in rs-EEG activity after a concussion; however, the cortical rhythms that were affected varied. Despite substantial methodological and analytical differences across the 16 studies, the current review suggests that rs-EEG may provide a reliable technique to identify persistent functional changes in athletes after a concussion. Because of the varied approaches, however, considerable work is needed to establish a systematic methodology to assess its efficacy as a marker of return-to-play.

Entities:  

Keywords:  biomarker; coherence; oscillations; qEEG; return-to-play; sports-related concussion

Year:  2018        PMID: 30014761     DOI: 10.1089/neu.2018.5761

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  7 in total

1.  Towards defining biomarkers to evaluate concussions using virtual reality and a moving platform (BioVRSea).

Authors:  Deborah Jacob; Ingunn S Unnsteinsdóttir Kristensen; Romain Aubonnet; Marco Recenti; Leandro Donisi; Carlo Ricciardi; Halldór Á R Svansson; Sólveig Agnarsdóttir; Andrea Colacino; María K Jónsdóttir; Hafrún Kristjánsdóttir; Helga Á Sigurjónsdóttir; Mario Cesarelli; Lára Ósk Eggertsdóttir Claessen; Mahmoud Hassan; Hannes Petersen; Paolo Gargiulo
Journal:  Sci Rep       Date:  2022-05-30       Impact factor: 4.996

2.  Idarucizumab in major trauma patients: a single centre real life experience.

Authors:  Daniel Oberladstätter; Wolfgang Voelckel; Martin Bruckbauer; Johannes Zipperle; Oliver Grottke; Bernhard Ziegler; Herbert Schöchl
Journal:  Eur J Trauma Emerg Surg       Date:  2019-09-25       Impact factor: 3.693

3.  Validation of a Machine Learning Brain Electrical Activity-Based Index to Aid in Diagnosing Concussion Among Athletes.

Authors:  Jeffrey J Bazarian; Robert J Elbin; Douglas J Casa; Gillian A Hotz; Christopher Neville; Rebecca M Lopez; David M Schnyer; Susan Yeargin; Tracey Covassin
Journal:  JAMA Netw Open       Date:  2021-02-01

4.  A Routine Electroencephalography Monitoring System for Automated Sports-Related Concussion Detection.

Authors:  Amirsalar Mansouri; Patrick Ledwidge; Khalid Sayood; Dennis L Molfese
Journal:  Neurotrauma Rep       Date:  2021-12-17

5.  Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors.

Authors:  Karun Thanjavur; Dionissios T Hristopulos; Arif Babul; Kwang Moo Yi; Naznin Virji-Babul
Journal:  Front Hum Neurosci       Date:  2021-11-24       Impact factor: 3.169

6.  MEG measured delta waves increase in adolescents after concussion.

Authors:  Elizabeth M Davenport; Jillian E Urban; Christopher Vaughan; Jesse C DeSimone; Ben Wagner; Mark A Espeland; Alexander K Powers; Christopher T Whitlow; Joel D Stitzel; Joseph A Maldjian
Journal:  Brain Behav       Date:  2022-09-02       Impact factor: 3.405

7.  The Neurophysiological Responses of Concussive Impacts: A Systematic Review and Meta-Analysis of Transcranial Magnetic Stimulation Studies.

Authors:  Emily Scott; Dawson J Kidgell; Ashlyn K Frazer; Alan J Pearce
Journal:  Front Hum Neurosci       Date:  2020-08-27       Impact factor: 3.169

  7 in total

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