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Journal articles
Statistical Decision Tree: A Tool for Studying Pharmaco-EEG Effects of CNS-Active Drugs
Abstract : Quantitative pharmaco-EEG has become a useful technique for determing pharmacodynamic parameters after CNS-active drug administration. Nevertheless, one of the most important problems faced by practitioners of pharmaco-EEG is the difficulty in evaluating drug-specific effects. In this article, a methodology for comparing two time sequences of pharmacodynamic measurements, the Statistical Decision Tree (SDT), is proposed. This methodology, based on one- and multi-dimensional Wilcoxon signed-rank tests on EEG variables, takes into account vigilance fluctuations and placebo effects in order to pick out effects specifically due to the drug.
https://hal-utt.archives-ouvertes.fr/hal-02861433
Contributor : Jean-Baptiste Vu Van Connect in order to contact the contributor
Submitted on : Tuesday, June 9, 2020 - 7:13:41 AM
Last modification on : Monday, August 16, 2021 - 2:24:01 PM
Contributor : Jean-Baptiste Vu Van Connect in order to contact the contributor
Submitted on : Tuesday, June 9, 2020 - 7:13:41 AM
Last modification on : Monday, August 16, 2021 - 2:24:01 PM