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Open AccessArticle

Complexity-Entropy Maps as a Tool for the Characterization of the Clinical Electrophysiological Evolution of Patients under Pharmacological Treatment with Psychotropic Drugs

by Juan M. Diaz 1,2,†, Diego M. Mateos 2,3,4,*,† and Carina Boyallian 2,5
1
Instituto Argentino de Ciencias de la Conducta (IACCo), 5000 Córdoba, Argentina
2
Facultad de Matemática, Física, Astronomía y Computación, Universidad Nacional de Córdoba, Haya de la Torre y Medina Allende, Ciudad Universitaria, 5000 Córdoba, Argentina
3
Neuroscience and Mental Health Programme, Division of Neurology, Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
4
Institute of Medical Science and Department of Paediatrics, University of Toronto, Toronto, ON M5S 1A1, Canada
5
Centro de Investigación y Estudios de Matemática. Famaf, Universidad Nacional de Córdoba, Ciudad Universitaria, 5000 Córdoba, Argentina
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Entropy 2017, 19(10), 540; https://doi.org/10.3390/e19100540
Received: 26 July 2017 / Revised: 5 October 2017 / Accepted: 6 October 2017 / Published: 13 October 2017
(This article belongs to the Special Issue Permutation Entropy & Its Interdisciplinary Applications)
In the clinical electrophysiological practice, reading and comparing electroencephalographic (EEG) recordings are sometimes insufficient and take too much time. Tools coming from the information theory or nonlinear systems theory such as entropy and complexity have been presented as an alternative to address this problem. In this work, we introduce a novel method—the permutation Lempel–Ziv Complexity vs. Permutation Entropy map. We apply this method to the EEGs of two patients with specific diagnosed pathologies during respective follow up processes of pharmacological changes in order to detect alterations that are not evident with the usual inspection method. The method allows for comparing between different states of the patients’ treatment, with a healthy control group, given global information about the signal, supplementing the traditional method of visual inspection of EEG. View Full-Text
Keywords: permutation entropy; permutation complexity; pharmacological treatment; electroencephalography permutation entropy; permutation complexity; pharmacological treatment; electroencephalography
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Diaz, J.M.; Mateos, D.M.; Boyallian, C. Complexity-Entropy Maps as a Tool for the Characterization of the Clinical Electrophysiological Evolution of Patients under Pharmacological Treatment with Psychotropic Drugs. Entropy 2017, 19, 540.

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