Literature DB >> 10837097

EEG in delirium.

S Jacobson1, H Jerrier.   

Abstract

Electroencephalography (EEG) is an inexpensive and noninvasive probe of functional brain activity that is one of the few clinically accessible measures capable of detecting changes in delirium. In EEG characteristics of delirium include slowing or dropout of the posterior dominant rhythm, generalized theta or delta slow-wave activity, poor organization of the background rhythm, and loss of reactivity of the EEG to eye opening and closing. These are paralleled by the quantitative EEG (QEEG) findings of increased absolute and relative slow-wave (theta and delta) power, reduced ratio of fast-to-slow band power, reduced mean frequency, and reduced occipital peak frequency. In alcohol and sedative withdrawal, EEG findings may include attenuation of voltage and prominence of beta activity. Specificity of EEG and QEEG findings in delirium has been questioned, particularly vis-'a-vis EEG changes in normal aging and in dementia. As noted in the text, however, specificity can be increased by the use of careful data acquisition and skillful interpretation. In the future, it is expected that QEEG methods will largely replace EEG in application to delirium.

Entities:  

Mesh:

Year:  2000        PMID: 10837097     DOI: 10.153/SCNP00500086

Source DB:  PubMed          Journal:  Semin Clin Neuropsychiatry        ISSN: 1084-3612


  16 in total

Review 1.  Delirium in elderly people.

Authors:  Sharon K Inouye; Rudi G J Westendorp; Jane S Saczynski
Journal:  Lancet       Date:  2013-08-28       Impact factor: 79.321

Review 2.  Delirium in older adults.

Authors:  Dennis M Popeo
Journal:  Mt Sinai J Med       Date:  2011 Jul-Aug

3.  Bispectral EEG (BSEEG) to assess arousal after electro-convulsive therapy (ECT).

Authors:  Kasra Zarei; Nicholas A Sparr; Nicholas T Trapp; Elena D Neuhaus; John W Cromwell; Aaron D Boes; Gen Shinozaki
Journal:  Psychiatry Res       Date:  2020-01-25       Impact factor: 3.222

Review 4.  [Non-withdrawal-related delirium : Evidence on prevention and therapy].

Authors:  R Haussmann; M Bauer; M Donix
Journal:  Nervenarzt       Date:  2016-05       Impact factor: 1.214

Review 5.  Late-life psychosis: diagnosis and treatment.

Authors:  Michael M Reinhardt; Carl I Cohen
Journal:  Curr Psychiatry Rep       Date:  2015-02       Impact factor: 5.285

6.  Sleep monitoring in the intensive care unit: comparison of nurse assessment, actigraphy and polysomnography.

Authors:  Jaime M Beecroft; Michael Ward; Magdy Younes; Shelley Crombach; Orla Smith; Patrick J Hanly
Journal:  Intensive Care Med       Date:  2008-06-03       Impact factor: 17.440

7.  Quantitative analysis of rest-activity patterns in elderly postoperative patients with delirium: support for a theory of pathologic wakefulness.

Authors:  Sandra A Jacobson; Patrick C Dwyer; Jason T Machan; Mary A Carskadon
Journal:  J Clin Sleep Med       Date:  2008-04-15       Impact factor: 4.062

Review 8.  Tools to detect delirium superimposed on dementia: a systematic review.

Authors:  Alessandro Morandi; Jessica McCurley; Eduard E Vasilevskis; Donna M Fick; Giuseppe Bellelli; Patricia Lee; James C Jackson; Susan D Shenkin; John Schnelle; Sharon K Inouye; E Wesley Ely; Wesley E Ely; Alasdair MacLullich
Journal:  J Am Geriatr Soc       Date:  2012-10-05       Impact factor: 5.562

9.  Why is delirium more frequent in the elderly?

Authors:  Orso Bugiani
Journal:  Neurol Sci       Date:  2021-05-24       Impact factor: 3.307

10.  Serum anticholinergic activity and cerebral cholinergic dysfunction: an EEG study in frail elderly with and without delirium.

Authors:  Christine Thomas; Ute Hestermann; Juergen Kopitz; Konstanze Plaschke; Peter Oster; Martin Driessen; Christoph Mundt; Matthias Weisbrod
Journal:  BMC Neurosci       Date:  2008-09-15       Impact factor: 3.288

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.