Literature DB >> 9890387

Is there paradoxical arousal reaction in the EEG subdelta range in patients during anesthesia?

G Litscher1, G Schwarz.   

Abstract

Different anesthetic drugs can produce different electroencephalographic (EEG) patterns. Nondrug induced influences, such as surgical stimulation, may also alter the EEG in anesthetized patients. Increases of delta activity are interpreted as signs of deepening of anesthesia. These EEG patterns are sometimes also found in frontal leads after surgical stimulation during isoflurane anesthesia. However, to avoid incorrect anesthetic management under EEG monitoring, this phenomenon of "paradoxical arousal" must be taken into consideration. This study demonstrates that, after surgical stimulation, frontal activity was enhanced in the 2-3 Hz and 3-4 Hz frequency bands. On the other hand, in the subdelta range (the 0.05-1 Hz and 1-2 Hz frequency bands), there was an opposite reaction. This significant (p<0.001, according to ANOVA and Dunn's method) reduction of EEG power as a result of the surgical stimuli was found in 25 patients (mean age, 49.1+/-16.3 years) scheduled for elective neurosurgical intervention in the lumbosacral region. This report shows some of the problems arising from the common practice of arbitrarily subdividing a power spectrum in frequency bands.

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Year:  1999        PMID: 9890387     DOI: 10.1097/00008506-199901000-00010

Source DB:  PubMed          Journal:  J Neurosurg Anesthesiol        ISSN: 0898-4921            Impact factor:   3.956


  3 in total

1.  Neurons of a limited subthalamic area mediate elevations in cortical cerebral blood flow evoked by hypoxia and excitation of neurons of the rostral ventrolateral medulla.

Authors:  E V Golanov; J R Christensen; D J Reis
Journal:  J Neurosci       Date:  2001-06-01       Impact factor: 6.167

2.  Control of sevoflurane anesthetic agent via neural network using electroencephalogram signals during anesthesia.

Authors:  Mustafa Tosun; Abdullah Ferikoğlu; Rüştü Güntürkün; Cevat Unal
Journal:  J Med Syst       Date:  2010-04-23       Impact factor: 4.460

3.  Estimation of medicine amount used anesthesia by an artificial neural network.

Authors:  Rüştü Güntürkün
Journal:  J Med Syst       Date:  2009-05-12       Impact factor: 4.460

  3 in total

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