Twenty-two children aged 5 to 15 years were examined. Ten children underwent fluorothane; 12 received a combination of sevofluorane and isofluorane. EEG was continuously recorded by a 9-channel computer-assisted encephalograph via bilateral electrode placement and BIS values were simultaneously measured. In the fluorothane group, EEG displayed a gradual reduction in basic rhythm, an increase in slow activity with the rhythm being recovered on emergence. The BIS index changed from 95-98 to 40-45 with a spike up to 78-84 on emergence. In the sevofluorane group, EEG recorded a pointed alpha rhythm, increased amplitude, and rhythm synchronization. The isofluorane anesthesia stage changed EEC patterns towards a reduction in cortical rhythm with slow fluctuations. The BIS value changed from 96-99 to 19-25 with 35-40 on anesthesia maintenance and up to 82-87 on emergence. The BIS data agree with EEG readings at all anesthesia stages.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Aftereffect of single transcranial direct and alternating current stimulation on spontaneous home-cage and open-field EEG activities in a mouse model of Alzheimer's disease.
Front Aging Neurosci
December 2024
Medical School, Kunming University of Science and Technology, Kunming, China.
Background: As a non drug and non invasive therapy, both transcranial alternating current stimulation (tACS) and transcranial direct current stimulation (tDCS) may modulate cortical rhythms and serve as potentially effective approaches to cognitive decline in Alzheimer's disease (AD). However, studies using animal models of AD are quite limited.
Methods: This study investigates the aftereffects of tACS and tDCS on brain EEG activity and associated exploratory behavior in normal aged and APP/PS1 transgenic mice (15 months old).
FAST functional connectivity implicates P300 connectivity in working memory deficits in Alzheimer's disease.
Netw Neurosci
December 2024
Computer and Information Sciences, University of Strathclyde, Glasgow, UK.
Measuring transient functional connectivity is an important challenge in electroencephalogram (EEG) research. Here, the rich potential for insightful, discriminative information of brain activity offered by high-temporal resolution is confounded by the inherent noise of the medium and the spurious nature of correlations computed over short temporal windows. We propose a methodology to overcome these problems called filter average short-term (FAST) functional connectivity.
View Article and Find Full Text PDFIntrinsic brain activity differences in drug-resistant epilepsy and well-controlled epilepsy patients: an EEG microstate analysis.
Ther Adv Neurol Disord
December 2024
Department of Neurology, Fujian Medical University Union Hospital, Xinquan Road 29#, Fuzhou 350001, China.
Background: Drug-resistant epilepsy (DRE) patients exhibit aberrant large-scale brain networks.
Objective: The purpose of investigation is to explore the differences in resting-state electroencephalogram (EEG) microstates between patients with DRE and well-controlled (W-C) epilepsy.
Design: Retrospective study.
Sleep duration at night affects daytime wake EEG spectra.
Med J Armed Forces India
December 2024
Medical Cadet, Armed Forces Medical College, Pune, India.
Background: Sleep deprivation leads to decreased performance, alertness and degradation in the health status of a person. Often the person remains unaware of the reduced alertness and may end up taking inaccurate decisions. There was a need to study the sleep duration of college goers and to study the effect of total night-time sleep duration on daytime Electroencephalogram (EEG) characteristics.
View Article and Find Full Text PDFDecoding of pain during heel lancing in human neonates with EEG signal and machine learning approach.
Sci Rep
December 2024
Neuroscience & Neuroengineering Research Lab, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science & Technology (IUST), Narmak, Tehran, Iran.
Currently, pain assessment using electroencephalogram signals and machine learning methods in clinical studies is of great importance, especially for those who cannot express their pain. Since newborns are among the high-risk group and always experience pain at the beginning of birth, in this research, the severity of newborns has been investigated and evaluated. Other studies related to the annoyance of newborns have used the EEG signal of newborns alone; therefore, in this study, the intensity of newborn pain was measured using the electroencephalogram signal of 107 infants who were stimulated by the heel lance in three levels: no pain, low pain and moderate pain were recorded as a single trial and evaluated.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!