Statistical Decision Tree: a tool for studying pharmaco-EEG effects of CNS-active drugs.

Abstract:

:Quantitative pharmaco-EEG has become a useful technique for determining 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.

journal_name

Neuropsychobiology

journal_title

Neuropsychobiology

authors

Dago KT,Luthringer R,Lengellé R,Rinaudo G,Macher JP

doi

10.1159/000119068

subject

Has Abstract

pub_date

1994-01-01 00:00:00

pages

91-6

issue

2

eissn

0302-282X

issn

1423-0224

pii

119068

journal_volume

29

pub_type

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