Literature DB >> 2795067

EEG spectral analysis in delirium.

H Koponen1, J Partanen, A Pääkkönen, E Mattila, P J Riekkinen.   

Abstract

Spectral analysis of EEG was conducted for 51 elderly delirious patients meeting the Diagnostic and Statistical Manual of Mental Disorders III (DSM-III) criteria and for 19 controls. As a whole group, and also when subdivided according to the type of delirium, severity of cognitive decline or the type of central nervous system disease, delirious patients showed significant reductions of alpha percentage, increased theta and delta activity and slowing of the peak and mean frequencies and these changes were also obvious in individual recordings. The alpha percentage and various ratio parameters correlated significantly with Mini Mental State score, and delta percentage and mean frequency with the lengths of delirium and hospitalisation. The results indicate an association between spectral EEG changes and severity of cognitive deterioration in delirium.

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Year:  1989        PMID: 2795067      PMCID: PMC1031838          DOI: 10.1136/jnnp.52.8.980

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  33 in total

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Journal:  J Neurol Neurosurg Psychiatry       Date:  1979-01       Impact factor: 10.154

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Journal:  Geriatrics       Date:  1978-02

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Authors:  T Itil; M Fink
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  20 in total

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Authors:  Konstanze Plaschke; Philipp Fichtenkamm; Christoph Schramm; Steffen Hauth; Eike Martin; Markus Verch; Matthias Karck; Jürgen Kopitz
Journal:  Intensive Care Med       Date:  2010-08-06       Impact factor: 17.440

Review 2.  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

3.  Arousal and the control of perception and movement.

Authors:  E Garcia-Rill; T Virmani; J R Hyde; S D'Onofrio; S Mahaffey
Journal:  Curr Trends Neurol       Date:  2016

4.  Conventional and quantitative EEG in the diagnosis of delirium among the elderly.

Authors:  S A Jacobson; A F Leuchter; D O Walter
Journal:  J Neurol Neurosurg Psychiatry       Date:  1993-02       Impact factor: 10.154

5.  Delirium and quantitative EEG.

Authors:  A Primavera; P Novello; A Fonti
Journal:  J Neurol Neurosurg Psychiatry       Date:  1993-12       Impact factor: 10.154

6.  Brain Network Dysfunction in Poststroke Delirium and Spatial Neglect: An fMRI Study.

Authors:  Olga Boukrina; Mateusz Kowalczyk; Yury Koush; Yekyung Kong; A M Barrett
Journal:  Stroke       Date:  2021-10-08       Impact factor: 7.914

Review 7.  The future of intensive care: delirium should no longer be an issue.

Authors:  Katarzyna Kotfis; Irene van Diem-Zaal; Shawniqua Williams Roberson; Mark van den Boogaard; Yahya Shehabi; E Wesley Ely; Marek Sietnicki
Journal:  Crit Care       Date:  2022-07-05       Impact factor: 19.334

8.  Increased EEG Theta Spectral Power in Sleep in Myotonic Dystrophy Type 1.

Authors:  Joseph Cheung; Chad Ruoff; Hyatt Moore; Katharine A Hagerman; Jennifer Perez; Sarada Sakamuri; Simon C Warby; Emmanuel Mignot; John Day; Jacinda Sampson
Journal:  J Clin Sleep Med       Date:  2018-02-15       Impact factor: 4.062

9.  Electroencephalography and delirium in the postoperative period.

Authors:  B J A Palanca; T S Wildes; Y S Ju; S Ching; M S Avidan
Journal:  Br J Anaesth       Date:  2017-08-01       Impact factor: 9.166

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Authors:  Peter W Kaplan
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