Literature DB >> 28657957

A Prospective Study of Age-dependent Changes in Propofol-induced Electroencephalogram Oscillations in Children.

Johanna M Lee1, Oluwaseun Akeju, Kristina Terzakis, Kara J Pavone, Hao Deng, Timothy T Houle, Paul G Firth, Erik S Shank, Emery N Brown, Patrick L Purdon.   

Abstract

BACKGROUND: In adults, frontal electroencephalogram patterns observed during propofol-induced unconsciousness consist of slow oscillations (0.1 to 1 Hz) and coherent alpha oscillations (8 to 13 Hz). Given that the nervous system undergoes significant changes during development, anesthesia-induced electroencephalogram oscillations in children may differ from those observed in adults. Therefore, we investigated age-related changes in frontal electroencephalogram power spectra and coherence during propofol-induced unconsciousness.
METHODS: We analyzed electroencephalogram data recorded during propofol-induced unconsciousness in patients between 0 and 21 yr of age (n = 97), using multitaper spectral and coherence methods. We characterized power and coherence as a function of age using multiple linear regression analysis and within four age groups: 4 months to 1 yr old (n = 4), greater than 1 to 7 yr old (n = 16), greater than 7 to 14 yr old (n = 30), and greater than 14 to 21 yr old (n = 47).
RESULTS: Total electroencephalogram power (0.1 to 40 Hz) peaked at approximately 8 yr old and subsequently declined with increasing age. For patients greater than 1 yr old, the propofol-induced electroencephalogram structure was qualitatively similar regardless of age, featuring slow and coherent alpha oscillations. For patients under 1 yr of age, frontal alpha oscillations were not coherent.
CONCLUSIONS: Neurodevelopmental processes that occur throughout childhood, including thalamocortical development, may underlie age-dependent changes in electroencephalogram power and coherence during anesthesia. These age-dependent anesthesia-induced electroencephalogram oscillations suggest a more principled approach to monitoring brain states in pediatric patients.

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Year:  2017        PMID: 28657957     DOI: 10.1097/ALN.0000000000001717

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  20 in total

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Authors:  M Cindy Kim; G L Fricchione; E N Brown; O Akeju
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2.  Electroencephalogram dynamics during general anesthesia predict the later incidence and duration of burst-suppression during cardiopulmonary bypass.

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3.  Electroencephalogram Burst-suppression during Cardiopulmonary Bypass in Elderly Patients Mediates Postoperative Delirium.

Authors:  Juan C Pedemonte; George S Plummer; Shubham Chamadia; Joseph J Locascio; Eunice Hahm; Breanna Ethridge; Jacob Gitlin; Reine Ibala; Jennifer Mekonnen; Katia M Colon; M Brandon Westover; David A D'Alessandro; George Tolis; Timothy Houle; Kenneth T Shelton; Jason Qu; Oluwaseun Akeju
Journal:  Anesthesiology       Date:  2020-08       Impact factor: 7.892

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6.  Improved tracking of sevoflurane anesthetic states with drug-specific machine learning models.

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8.  Decreased Electroencephalographic Alpha Power During Anesthesia Induction Is Associated With EEG Discontinuity in Human Infants.

Authors:  Jerry Y Chao; Rodrigo Gutiérrez; Alan D Legatt; Elissa G Yozawitz; Yungtai Lo; David C Adams; Ellise S Delphin; Shlomo Shinnar; Patrick L Purdon
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9.  Clinical signs and electroencephalographic patterns of emergence from sevoflurane anaesthesia in children: An observational study.

Authors:  Laura Cornelissen; Carolina Donado; Johanna M Lee; Norah E Liang; Ian Mills; Andrea Tou; Aykut Bilge; Charles B Berde
Journal:  Eur J Anaesthesiol       Date:  2018-01       Impact factor: 4.330

10.  Age-Dependent Changes in the Propofol-Induced Electroencephalogram in Children With Autism Spectrum Disorder.

Authors:  Elisa C Walsh; Johanna M Lee; Kristina Terzakis; David W Zhou; Sara Burns; Timothy M Buie; Paul G Firth; Erik S Shank; Timothy T Houle; Emery N Brown; Patrick L Purdon
Journal:  Front Syst Neurosci       Date:  2018-06-22
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