Encyclopedia of Computational Neuroscience

2015 Edition
| Editors: Dieter Jaeger, Ranu Jung

Low Frequency Oscillations (Anesthesia and Sleep): Overview

  • Diego Contreras
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-6675-8_754



The transition from waking to sleep or to anesthesia is characterized by an increase in the amplitude and a decrease in the frequency of the electrical activity recorded in the electroencephalogram (EEG). The spectral composition of the EEG changes from one dominated by low-amplitude fast frequencies in the beta gamma range to one dominated by the frequency ranges of slow (0.1–1 Hz), delta (1–4 Hz), and sigma (7–15 Hz, which corresponds with sleep spindles) oscillations (Silva and Schomer 2011). The dramatic changes in the EEG during the transition from waking to sleep correlate with the deafferentation of the forebrain from the external world and the suppression of consciousness. This section describes cellular mechanisms and computer models of these oscillatory processes and their functional consequences. In this overview entry,...

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© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Department of Neuroscience, School of MedicineUniversity of PennsylvaniaPhiladelphiaUSA