EEG in delirium
- PMID: 10837097
- DOI: 10.153/SCNP00500086
EEG in delirium
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.
Similar articles
-
EEG spectral analysis in children with febrile delirium.Brain Dev. 2004 Dec;26(8):513-8. doi: 10.1016/j.braindev.2004.02.004. Brain Dev. 2004. PMID: 15533652
-
Conventional and quantitative EEG in the diagnosis of delirium among the elderly.J Neurol Neurosurg Psychiatry. 1993 Feb;56(2):153-8. doi: 10.1136/jnnp.56.2.153. J Neurol Neurosurg Psychiatry. 1993. PMID: 8437004 Free PMC article.
-
Quantitative electroencephalography power analysis in subjective idiopathic tinnitus patients: a clinical paradigm shift in the understanding of tinnitus, an electrophysiological correlate.Int Tinnitus J. 2006;12(2):121-31. Int Tinnitus J. 2006. PMID: 17260877
-
The visual scoring of sleep and arousal in infants and children.J Clin Sleep Med. 2007 Mar 15;3(2):201-40. J Clin Sleep Med. 2007. PMID: 17557427 Review.
-
Routine and quantitative EEG in mild traumatic brain injury.Clin Neurophysiol. 2005 Sep;116(9):2001-25. doi: 10.1016/j.clinph.2005.05.008. Clin Neurophysiol. 2005. PMID: 16029958 Review.
Cited by
-
Why is delirium more frequent in the elderly?Neurol Sci. 2021 Aug;42(8):3491-3503. doi: 10.1007/s10072-021-05339-3. Epub 2021 May 24. Neurol Sci. 2021. PMID: 34031797 Free PMC article.
-
VE-CAM-S: Visual EEG-Based Grading of Delirium Severity and Associations With Clinical Outcomes.Crit Care Explor. 2022 Jan 18;4(1):e0611. doi: 10.1097/CCE.0000000000000611. eCollection 2022 Jan. Crit Care Explor. 2022. PMID: 35072078 Free PMC article.
-
EEG dynamical correlates of focal and diffuse causes of coma.BMC Neurol. 2017 Nov 15;17(1):197. doi: 10.1186/s12883-017-0977-0. BMC Neurol. 2017. PMID: 29141595 Free PMC article.
-
Topological data analysis (TDA) enhances bispectral EEG (BSEEG) algorithm for detection of delirium.Sci Rep. 2021 Jan 11;11(1):304. doi: 10.1038/s41598-020-79391-y. Sci Rep. 2021. PMID: 33431928 Free PMC article.
-
Delirium in older adults.Mt Sinai J Med. 2011 Jul-Aug;78(4):571-82. doi: 10.1002/msj.20267. Mt Sinai J Med. 2011. PMID: 21748745 Free PMC article. Review.
Publication types
MeSH terms
LinkOut - more resources
Medical
Research Materials