Literature DB >> 11085551

The EEG in coma.

G B Young1.   

Abstract

The EEG allows insight into thalamocortical function in comatose patients when this is inaccessible clinically. A single EEG can help with broad diagnostic categorization whereas continuous or serial EEG provides monitoring for unstable and potentially treatable conditions and for monitoring the effects of therapy. The EEG plays a supplemental role in establishing the prognosis in disease states that are capable of causing neuronal death. The most prevalent and problematic of these conditions involves survivors of cardiac arrest who are initially in coma with intact brainstem reflexes. In such patients single EEGs are of 100% specificity for no possibility of recovery of consciousness only for essentially complete generalized suppression (<10 microV) after the first day of the arrest. Several other generalized patterns, including less marked suppression, burst-suppression, epileptiform activity, periodic complexes, and alpha-theta coma patterns, usually but not invariably indicate a poor outcome. Serial EEGs, continuous raw and automated "trending," testing of reactivity, and the inclusion of multiple variables hold promise for an improved role in the prognostic determination in these patients.

Entities:  

Mesh:

Year:  2000        PMID: 11085551     DOI: 10.1097/00004691-200009000-00006

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  67 in total

1.  Prognosis after cardiac arrest and hypothermia: a new paradigm.

Authors:  Edgar A Samaniego; Suzanne Persoon; Christine A C Wijman
Journal:  Curr Neurol Neurosci Rep       Date:  2011-02       Impact factor: 5.081

2.  Monitoring sedation in the intensive care unit: can "black boxes" help us?

Authors:  Timothy S Walsh; Pam Ramsay; Riina Kinnunen
Journal:  Intensive Care Med       Date:  2004-04-01       Impact factor: 17.440

3.  A neurophysiological-metabolic model for burst suppression.

Authors:  Shinung Ching; Patrick L Purdon; Sujith Vijayan; Nancy J Kopell; Emery N Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-07       Impact factor: 11.205

Review 4.  Decoding human swallowing via electroencephalography: a state-of-the-art review.

Authors:  Iva Jestrović; James L Coyle; Ervin Sejdić
Journal:  J Neural Eng       Date:  2015-09-15       Impact factor: 5.379

5.  Anoxic-ischemic encephalopathy: clinical and electrophysiological associations with outcome.

Authors:  G Bryan Young; Gordon Doig; Aldo Ragazzoni
Journal:  Neurocrit Care       Date:  2005       Impact factor: 3.210

6.  Short-term outcome prediction by electroencephalographic features in children treated with therapeutic hypothermia after cardiac arrest.

Authors:  Sudha Kilaru Kessler; Alexis A Topjian; Ana M Gutierrez-Colina; Rebecca N Ichord; Maureen Donnelly; Vinay M Nadkarni; Robert A Berg; Dennis J Dlugos; Robert R Clancy; Nicholas S Abend
Journal:  Neurocrit Care       Date:  2011-02       Impact factor: 3.210

7.  The prognostic value of the EEG in postanoxic coma.

Authors:  Arjan Roest; Bart van Bets; Philippe G Jorens; Ingrid Baar; Joost Weyler; Rudy Mercelis
Journal:  Neurocrit Care       Date:  2009-01-07       Impact factor: 3.210

8.  Burst suppression probability algorithms: state-space methods for tracking EEG burst suppression.

Authors:  Jessica Chemali; ShiNung Ching; Patrick L Purdon; Ken Solt; Emery N Brown
Journal:  J Neural Eng       Date:  2013-09-10       Impact factor: 5.379

9.  The human burst suppression electroencephalogram of deep hypothermia.

Authors:  M Brandon Westover; Shinung Ching; Vishakhadatta M Kumaraswamy; Seun Oluwaseun Akeju; Eric Pierce; Sydney S Cash; Ronan Kilbride; Emery N Brown; Patrick L Purdon
Journal:  Clin Neurophysiol       Date:  2015-01-16       Impact factor: 3.708

10.  Detecting abnormal electroencephalograms using deep convolutional networks.

Authors:  K G van Leeuwen; H Sun; M Tabaeizadeh; A F Struck; M J A M van Putten; M B Westover
Journal:  Clin Neurophysiol       Date:  2018-11-17       Impact factor: 3.708

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.