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dc.contributor.authorAlonso López, Joan Francesc
dc.contributor.authorMañanas Villanueva, Miguel Ángel
dc.contributor.authorRomero Lafuente, Sergio
dc.contributor.authorRojas Martínez, Mónica
dc.contributor.authorRiba Serrano, Jordi
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.identifier.citationAlonso, J. F. [et al.]. Cross-conditional entropy and coherence analysis of pharmaco-EEG changes induced by alprazolam. "Psychopharmacology", Març 2012, vol. 221, núm. 3, p. 397-406.
dc.description.abstractRationale 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.
dc.format.extent10 p.
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
dc.subject.lcshElectroencephalography--Data processing
dc.titleCross-conditional entropy and coherence analysis of pharmaco-EEG changes induced by alprazolam
dc.subject.lemacMedicaments -- Assaigs clínics
dc.subject.lemacOptimització combinatòria
dc.subject.lemacFarmacologia clínica -- Investigació
dc.contributor.groupUniversitat Politècnica de Catalunya. SISBIO - Senyals i Sistemes Biomèdics
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
local.citation.authorAlonso, J. F.; Mañanas, M.; Romero, S.; Rojas, M.; Riba, J.

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