Literature DB >> 23249295

Electroencephalography and quantitative electroencephalography in mild traumatic brain injury.

Zulfi Haneef1, Harvey S Levin, James D Frost, Eli M Mizrahi.   

Abstract

Mild traumatic brain injury (mTBI) causes brain injury resulting in electrophysiologic abnormalities visible in electroencephalography (EEG) recordings. Quantitative EEG (qEEG) makes use of quantitative techniques to analyze EEG characteristics such as frequency, amplitude, coherence, power, phase, and symmetry over time independently or in combination. QEEG has been evaluated for its use in making a diagnosis of mTBI and assessing prognosis, including the likelihood of progressing to the postconcussive syndrome (PCS) phase. We review the EEG and qEEG changes of mTBI described in the literature. An attempt is made to separate the findings seen during the acute, subacute, and chronic phases after mTBI. Brief mention is also made of the neurobiological correlates of qEEG using neuroimaging techniques or in histopathology. Although the literature indicates the promise of qEEG in making a diagnosis and indicating prognosis of mTBI, further study is needed to corroborate and refine these methods.

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Mesh:

Year:  2013        PMID: 23249295      PMCID: PMC3638533          DOI: 10.1089/neu.2012.2585

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


  31 in total

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Journal:  J Neuropsychiatry Clin Neurosci       Date:  2001       Impact factor: 2.198

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Journal:  Neurology       Date:  1997-07       Impact factor: 9.910

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Authors:  Nadia Gosselin; Maryse Lassonde; Dominique Petit; Suzanne Leclerc; Valérie Mongrain; Alex Collie; Jacques Montplaisir
Journal:  Sleep Med       Date:  2008-01-28       Impact factor: 3.492

5.  Biophysical linkage between MRI and EEG coherence in closed head injury.

Authors:  R W Thatcher; C Biver; R McAlaster; A Salazar
Journal:  Neuroimage       Date:  1998-11       Impact factor: 6.556

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7.  Quantitative and qualitative analysis of ambulatory electroencephalography during mild traumatic brain injury.

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Journal:  Arch Neurol       Date:  2011-12

8.  The post-concussional state: neurophysiological aspects.

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Journal:  Br J Psychiatry       Date:  1995-10       Impact factor: 9.319

9.  [Automatic (computer-assisted) EEG analysis in comparison with visual EEG analysis in patients following minor cranio-cerebral trauma (a follow-up study)].

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Journal:  Electroencephalogr Clin Neurophysiol       Date:  1988-08
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  13 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.  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

3.  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

4.  Frequency-Dependent Changes in Resting State Electroencephalogram Functional Networks after Traumatic Brain Injury in Piglets.

Authors:  Lorre S Atlan; Susan S Margulies
Journal:  J Neurotrauma       Date:  2019-05-23       Impact factor: 5.269

5.  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

6.  Quantitative measurement of post-concussion syndrome Using Electrovestibulography.

Authors:  Abdelbaset Suleiman; Brian Lithgow; Zeinab Dastgheib; Behzad Mansouri; Zahra Moussavi
Journal:  Sci Rep       Date:  2017-11-27       Impact factor: 4.379

7.  Abnormalities in Dynamic Brain Activity Caused by Mild Traumatic Brain Injury Are Partially Rescued by the Cannabinoid Type-2 Receptor Inverse Agonist SMM-189.

Authors:  Yu Liu; Samuel S McAfee; Natalie M Guley; Nobel Del Mar; Wei Bu; Scott A Heldt; Marcia G Honig; Bob M Moore; Anton Reiner; Detlef H Heck
Journal:  eNeuro       Date:  2017-08-18

Review 8.  The Role of Quantitative EEG in the Diagnosis of Neuropsychiatric Disorders.

Authors:  Livia Livint Popa; Hanna Dragos; Cristina Pantelemon; Olivia Verisezan Rosu; Stefan Strilciuc
Journal:  J Med Life       Date:  2020 Jan-Mar

9.  Predicting outcome in patients with moderate to severe traumatic brain injury using electroencephalography.

Authors:  Marjolein E Haveman; Michel J A M Van Putten; Harold W Hom; Carin J Eertman-Meyer; Albertus Beishuizen; Marleen C Tjepkema-Cloostermans
Journal:  Crit Care       Date:  2019-12-11       Impact factor: 9.097

10.  Longitudinal Functional Assessment of Brain Injury Induced by High-Intensity Ultrasound Pulse Sequences.

Authors:  Meijun Ye; Krystyna Solarana; Harmain Rafi; Shyama Patel; Marjan Nabili; Yunbo Liu; Stanley Huang; Jonathan A N Fisher; Victor Krauthamer; Matthew Myers; Cristin Welle
Journal:  Sci Rep       Date:  2019-10-29       Impact factor: 4.379

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