Literature DB >> 9743283

Quantitative electroencephalographic evaluation of non-fatal and fatal traumatic coma.

N M Kane1, T H Moss, S H Curry, S R Butler.   

Abstract

Diffuse axonal injury (DAI) is an important cause of morbidity and mortality after traumatic brain injury (TBI), and its severity is therefore a major determinant of outcome. There have been suggestions that the extent of DAI may be reflected in quantitative measures of cerebral function, including the electroencephalogram (EEG) and brain-stem auditory evoked potentials (BAEPs). It has therefore been proposed that these quantitative methods of analysis may provide objective predictors of outcome following TBI. We prospectively investigated the relationship between quantitative EEG and BAEP measures and outcome, in 60 comatose patients (47 male and 13 female; age range 1-80 years, mean 36.4) after severe, closed head injury (post-resuscitation Glasgow Coma Scale (GCS) of 8). The Spearman correlation coefficients (rs) have been calculated for quantitative EEG measures (mean regional power and interhemispheric coherence) and BAEPs with patient outcome on the Glasgow Outcome and Disability Rating Scales at 6 months and 1 year. The measures most significantly correlated with outcome (P < 0.001) are over the left hemisphere, beta activity power (amplitude squared) in the fronto-central and centro-temporal regions, and alpha activity power in the centro-temporal region. We found no correlation between interhemispheric coherence (a statistical measure of cross-correlation in the frequency domain) and outcome at either 6 months or 1 year post-injury. In 10 fatalities, we examined the relationship between interhemispheric EEG coherence prior to deaths and the histopathological severity of DAI, in concordant regions. The only significant correlation between DAI and interhemispheric coherence is seen in the alpha band at the temporo-occipital site (rs = -0.79, P = 0.007). Our data indicate that there is regional information in EEG power spectra over the left hemisphere, which could be used in prognostic predictions for patients in coma after severe TBI. We were unable to demonstrate a correlation between interhemispheric coherence and outcome, or any clear and consistent evidence of a relationship between interhemispheric coherence and the severity of DAI.

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Mesh:

Year:  1998        PMID: 9743283     DOI: 10.1016/s0013-4694(97)00141-7

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  8 in total

Review 1.  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

2.  Correlation of Bispectral Index with Glasgow Coma Score in mild and moderate head injuries.

Authors:  Danie B Paul; G S Umamaheswara Rao
Journal:  J Clin Monit Comput       Date:  2006-09-09       Impact factor: 2.502

3.  Reductions in qEEG slowing over 1 year and after treatment with Cerebrolysin in patients with moderate-severe traumatic brain injury.

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Journal:  J Neural Transm (Vienna)       Date:  2008-02-14       Impact factor: 3.575

Review 4.  Mapping the Connectome Following Traumatic Brain Injury.

Authors:  Yousef Hannawi; Robert D Stevens
Journal:  Curr Neurol Neurosci Rep       Date:  2016-05       Impact factor: 5.081

5.  Life or death: prognostic value of a resting EEG with regards to survival in patients in vegetative and minimally conscious States.

Authors:  Alexander A Fingelkurts; Andrew A Fingelkurts; Sergio Bagnato; Cristina Boccagni; Giuseppe Galardi
Journal:  PLoS One       Date:  2011-10-05       Impact factor: 3.240

Review 6.  Resting-State Electroencephalography for Prognosis in Disorders of Consciousness Following Traumatic Brain Injury.

Authors:  Ruth Pauli; Alice O'Donnell; Damian Cruse
Journal:  Front Neurol       Date:  2020-12-04       Impact factor: 4.003

7.  The prognostic value of resting-state EEG in acute post-traumatic unresponsive states.

Authors:  Alice O'Donnell; Ruth Pauli; Leah Banellis; Rodika Sokoliuk; Tom Hayton; Steve Sturman; Tonny Veenith; Kamal M Yakoub; Antonio Belli; Srivas Chennu; Damian Cruse
Journal:  Brain Commun       Date:  2021-03-17

8.  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

  8 in total

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