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Drug effect on EEG connectivity assessed by linear and nonlinear couplings

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10.1002/hbm.20881
 
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hdl:2117/8057

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Alonso López, Joan FrancescMés informacióMés informacióMés informació
Mañanas Villanueva, Miguel ÁngelMés informacióMés informacióMés informació
Romero Lafuente, SergioMés informacióMés informacióMés informació
Hoyer, Dirk
Riba Ruiz, Jordi-RogerMés informacióMés informacióMés informació
Barbanoj, Manel J.
Document typeArticle
Defense date2010-03
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
Quantitative analysis of human electroencephalogram (EEG) is a valuable method for evaluating psychopharmacological agents. Although the effects of different drug classes on EEG spectra are already known, interactions between brain locations remain unclear. In this work, cross mutual information function and appropriate surrogate data were applied to assess linear and nonlinear couplings between EEG signals. The main goal was to evaluate the pharmacological effects of alprazolam on brain connectivity during wakefulness in healthy volunteers using a cross-over, placebo-controlled design. Eighty-five pairs of EEG leads were selected for the analysis, and connectivity was evaluated inside anterior, central, and posterior zones of the scalp. Connectivity between these zones and interhemispheric connectivity were also measured. Results showed that alprazolam induced significant changes in EEG connectivity in terms of information transfer in comparison with placebo. Trends were opposite depending on the statistical characteristics: decreases in linear connectivity and increases in nonlinear couplings. These effects were generally spread over the entire scalp. Linear changes were negatively correlated, and nonlinear changes were positively correlated with drug plasma concentrations; the latter showed higher correlation coefficients. The use of both linear and nonlinear approaches revealed the importance of assessing changes in EEG connectivity as this can provide interesting information about psychopharmacological effects.
CitationAlonso, J. [et al.]. Drug effect on EEG connectivity assessed by linear and nonlinear couplings. "Human brain mapping", Març 2010, vol. 31, núm. 3, p. 487-497. 
URIhttp://hdl.handle.net/2117/8057
DOI10.1002/hbm.20881
ISSN1065-9471
Publisher versionhttp://www3.interscience.wiley.com/journal/122675268/abstract?CRETRY=1&SRETRY=0
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