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Electrically evoked taste threshold.

Authors: M, Føons;

Electrically evoked taste threshold.

Abstract

How accurately can the electrically evoked taste threshold be determined? Why have standards of normal values not yet been generally accepted? In order to answer these questions, 80 normal subjects were examined by means of the method of adjustment. The results showed a greater variability of threshold values and side differences than found by other authors. In explanation, it is suggested that the method of adjustment minimizes the biasing effect of the examiner, which normally leads to an underestimation of the threshold variability as well as of the side differences. The method of adjustment is therefore suitable for certain experimental purposes. For clinical use, a simple procedure like Krarups should be preferred. Due to its limited validity, however, only side differences of 100% or more should be considered pathological. A log-scale with rather large units (25% increment steps) is recommended.

Keywords

Adult, Adolescent, Child, Preschool, Taste, Taste Threshold, Humans, Middle Aged, Child, Evoked Potentials, Aged

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Average
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