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METHODISCHE ASPEKTE BEI DER ANALYSE VON PHARMAKAEFFEKTEN (DIAZEPAM UND KOFFEIN) AUF DIE CONTINGENT NEGATIVE VARIATION

Translated title of the contribution: Methodological aspects of CNV-analysis of drug effects (diazepam and caffeine)

H. J. Heinze, T. F. Munte, H. Kunkel, K. Dickmann

Abstract

The paper discusses the importance and implications of the event-related-potentials in the analysis of effects of centrally acting drugs. This is illustrated using a study on the influence of diazepam and caffeine on the contingent-negative-variation (CNV) as an example. Special emphasis is placed on methodological problems and their possible solutions. A linear robust fitting technique was used for quantification of the slow-rising, ramp-like CNV potentials as an alternative to conventional baseline-to-peak measures. Results obtained by this method were validated by a second analysis taking slow superimposed DC-shifts into account. This was achieved by defining a reference line from the data for CNV-development and -resolution. The possibilities of single-trial potential evaluation were explored by using a pattern recognition algorithm. The average CNV-waveform was used as a reference-signal to which the single-trial potentials were correlated. Since pattern recognition techniques are sensitive to morphological changes of the potentials they add a new aspect to event-related-potential analysis.

Translated title of the contributionMethodological aspects of CNV-analysis of drug effects (diazepam and caffeine)
Original languageGerman
JournalEEG-EMG Zeitschrift fur Elektroenzephalographie Elektromyographie und Verwandte Gebiete
Volume16
Issue number2
Pages (from-to)69-74
Number of pages6
ISSN0012-7590
Publication statusPublished - 01.01.1985

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Research Areas and Centers

  • Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)

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