Neuropsychobiology

Original Paper

Waking and Sleep Electroencephalogram Variables as Human Sleep Homeostatic Process Biomarkers after Drug Administration

Giménez S.a–c · Romero S.d, e · Mañanas M.A.d, e · Barbanoj M.-J.a–c, f,1

Author affiliations

aCentre d’Investigació de Medicaments, Institut d’Investigacions Biomèdiques Sant Pau (IIB-Sant Pau), bDepartament de Farmacologia i Terapèutica, Universitat Autònoma de Barcelona, Barcelona, cCentro de Investigación Biomédica de Salud Mental, CIBERSAM, Madrid, dDepartment of Automatic Control (ESAII), Biomedical Engineering Research Center (CREB), Universitat Politècnica de Catalunya (UPC), eCIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), and fServei de Farmacologia Clínica, Hospital de la Santa Creu i Sant Pau (HSCSP), Barcelona, Spain

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Neuropsychobiology 2011;63:252–260

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Article / Publication Details

First-Page Preview
Abstract of Original Paper

Received: December 28, 2009
Accepted: September 29, 2010
Published online: April 13, 2011
Issue release date: May 2011

Number of Print Pages: 9
Number of Figures: 4
Number of Tables: 1

ISSN: 0302-282X (Print)
eISSN: 1423-0224 (Online)

For additional information: https://www.karger.com/NPS

Abstract

Background/Aims: The correlation between theta activity during wakefulness and slow-wave activity (SWA) during sleep observed after sleep deprivation suggests such patterns can be used as electroencephalogram (EEG) biomarkers of the sleep homeostasis process. Since these EEG components would be very useful objective measures to assess CNS drug effects, we investigated whether the relationship between sleep homeostatic EEG biomarkers could be reproduced after an experimental pharmacological intervention. Methods: Seventeen healthy volunteers took part in a phase I randomized, double-blind, crossover design study. To increase sleep propensity, all participants received a single morning oral dose of olanzapine (5 mg) and placebo. Quantitative EEG analysis was done by power spectra calculations: theta activity (3.5–7.5 Hz) during wakefulness and SWA (0.5–4.0 Hz) during sleep. The relationship between the 2 EEG parameters was assessed by correlating the rise rate (percent/hour) of theta activity in wakefulness and the increase (percent) of SWA in the first non-REM sleep episode. Results: Following olanzapine administration we observed increases in theta activity during wakefulness, and increases in total sleep time, sleep efficiency and slow-wave sleep time during sleep. However, a weak and unreliable correlation was observed between the increases in theta activity and changes in sleep SWA. Conclusions: From these results, we cannot affirm that these waking and sleep EEG variables behave as biomarkers of human sleep homeostasis after drug administration. It is possible that these EEG biomarkers reflect different physiological mechanisms if they are assessed during drug CNS effects.

© 2011 S. Karger AG, Basel




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Article / Publication Details

First-Page Preview
Abstract of Original Paper

Received: December 28, 2009
Accepted: September 29, 2010
Published online: April 13, 2011
Issue release date: May 2011

Number of Print Pages: 9
Number of Figures: 4
Number of Tables: 1

ISSN: 0302-282X (Print)
eISSN: 1423-0224 (Online)

For additional information: https://www.karger.com/NPS


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Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug.
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