Literature DB >> 21419178

Clinical electrophysiologic assessments and mild traumatic brain injury: state-of-the-science and implications for clinical practice.

David B Arciniegas1.   

Abstract

Conventional and quantitative electroencephalography (EEG and qEEG, respectively) may enhance clinical diagnosis and treatment planning provided to persons with mild traumatic brain injury (mTBI) and postconcussive symptoms. Effective and appropriate use of EEG and qEEG in this context requires expert-level knowledge of these technologies, mTBI, and the differential diagnosis for postconcussive symptoms. A practical and brief review from the perspective of a clinician-scientist engaged principally in the care and study of persons with mTBI therefore may be of use and value to other clinicians and scientists interested in these matters. Toward that end, this article offers an overview of the current applications of conventional EEG and qEEG to the study and clinical evaluation of persons with mTBI. The clinical case definition of TBI, the differential diagnosis of post-injury neuropsychiatric disturbances, and the typical course of recovery following mTBI are reviewed. With this background and context, the strengths and limitations of the literature describing EEG and qEEG studies in this population are considered. The implications of this review on the applications of these electrophysiologic assessments to the clinical evaluation of persons with mTBI and postconcussive symptoms are then considered. Finally, suggestions are offered regarding the design of future studies using these technologies in this population. Although this review may be of interest and value to professionals engaged in clinical or research electrophysiology in their daily work, it is intended to serve more immediately the needs of clinicians less familiar with these types of clinical electrophysiologic assessments. Copyright Â
© 2011 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21419178     DOI: 10.1016/j.ijpsycho.2011.03.004

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


  24 in total

1.  ERPs predict symptomatic distress and recovery in sub-acute mild traumatic brain injury.

Authors:  James F Cavanagh; J Kevin Wilson; Rebecca E Rieger; Darbi Gill; James M Broadway; Jacqueline Hope Story Remer; Violet Fratzke; Andrew R Mayer; Davin K Quinn
Journal:  Neuropsychologia       Date:  2019-06-19       Impact factor: 3.139

Review 2.  Neuroimaging biomarkers in mild traumatic brain injury (mTBI).

Authors:  Erin D Bigler
Journal:  Neuropsychol Rev       Date:  2013-08-24       Impact factor: 7.444

Review 3.  A Review of the Effectiveness of Neuroimaging Modalities for the Detection of Traumatic Brain Injury.

Authors:  Franck Amyot; David B Arciniegas; Michael P Brazaitis; Kenneth C Curley; Ramon Diaz-Arrastia; Amir Gandjbakhche; Peter Herscovitch; Sidney R Hinds; Geoffrey T Manley; Anthony Pacifico; Alexander Razumovsky; Jason Riley; Wanda Salzer; Robert Shih; James G Smirniotopoulos; Derek Stocker
Journal:  J Neurotrauma       Date:  2015-09-30       Impact factor: 5.269

4.  Feasibility of EEG Measures in Conjunction With Light Exercise for Return-to-Play Evaluation After Sports-Related Concussion.

Authors:  Michael Gay; William Ray; Brian Johnson; Elizabeth Teel; Andrew Geronimo; Semyon Slobounov
Journal:  Dev Neuropsychol       Date:  2015       Impact factor: 2.253

5.  Residual brain dysfunction observed one year post-mild traumatic brain injury: combined EEG and balance study.

Authors:  Semyon Slobounov; Wayne Sebastianelli; Mark Hallett
Journal:  Clin Neurophysiol       Date:  2012-02-22       Impact factor: 3.708

Review 6.  Electroencephalography and quantitative electroencephalography in mild traumatic brain injury.

Authors:  Zulfi Haneef; Harvey S Levin; James D Frost; Eli M Mizrahi
Journal:  J Neurotrauma       Date:  2013-04-15       Impact factor: 5.269

7.  Advanced biomarkers of pediatric mild traumatic brain injury: Progress and perils.

Authors:  Andrew R Mayer; Mayank Kaushal; Andrew B Dodd; Faith M Hanlon; Nicholas A Shaff; Rebekah Mannix; Christina L Master; John J Leddy; David Stephenson; Christopher J Wertz; Elizabeth M Suelzer; Kristy B Arbogast; Timothy B Meier
Journal:  Neurosci Biobehav Rev       Date:  2018-08-09       Impact factor: 8.989

8.  Cortical activity during cued picture naming predicts individual differences in stuttering frequency.

Authors:  Jeffrey R Mock; Anne L Foundas; Edward J Golob
Journal:  Clin Neurophysiol       Date:  2016-06-17       Impact factor: 3.708

9.  Detection of Moderate Traumatic Brain Injury from Resting-State Eye-Closed Electroencephalography.

Authors:  Chi Qin Lai; Haidi Ibrahim; Aini Ismafairus Abd Hamid; Mohd Zaid Abdullah; Azlinda Azman; Jafri Malin Abdullah
Journal:  Comput Intell Neurosci       Date:  2020-03-11

10.  Callosal dysfunction explains injury sequelae in a computational network model of axonal injury.

Authors:  Jianxia Cui; Laurel J Ng; Vladislav Volman
Journal:  J Neurophysiol       Date:  2016-09-28       Impact factor: 2.714

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