Title:
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Cross-conditional entropy and coherence analysis of pharmaco-EEG changes induced by alprazolam
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Author:
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Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Ángel; Romero Lafuente, Sergio; Rojas Martínez, Mónica; Riba Serrano, Jordi
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SISBIO - Senyals i Sistemes Biomèdics |
Abstract:
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Rationale Quantitative analysis of electroencephalographic
signals (EEG) and their interpretation constitute a helpful
tool in the assessment of the bioavailability of psychoactive
drugs in the brain. Furthermore, psychotropic drug groups
have typical signatures which relate biochemical mechanisms
with specific EEG changes.
Objectives To analyze the pharmacological effect of a dose
of alprazolam on the connectivity of the brain during
wakefulness by means of linear and nonlinear approaches.
Methods EEG signals were recorded after alprazolam
administration in a placebo-controlled crossover clinical
trial. Nonlinear couplings assessed by means of corrected
cross-conditional entropy were compared to linear couplings
measured with the classical magnitude squared
coherence.
Results Linear variables evidenced a statistically significant
drug-induced decrease, whereas nonlinear variables showed
significant increases. All changes were highly correlated to
drug plasma concentrations. The spatial distribution of the
observed connectivity changes clearly differed from a
previous study: changes before and after the maximum
drug effect were mainly observed over the anterior half of
the scalp. Additionally, a new variable with very low
computational cost was defined to evaluate nonlinear
coupling. This is particularly interesting when all pairs of
EEG channels are assessed as in this study.
Conclusions Results showed that alprazolam induced
changes in terms of uncoupling between regions of the
scalp, with opposite trends depending on the variables:
decrease in linear ones and increase in nonlinear features.
Maps provided consistent information about the way brain
changed in terms of connectivity being definitely necessary
to evaluate separately linear and nonlinear interactions. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia -Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica -Electroencephalography--Data processing -Alprazolam -Drugs--Research -Entropy -Electroencefalografia -Medicaments -- Assaigs clínics -Optimització combinatòria -Farmacologia clínica -- Investigació -Entropia |
Rights:
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Document type:
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Article - Published version Article |
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