Machine-learned analysis of quantitative sensory testing responses to noxious cold stimulation in healthy subjects.

Journal: European journal of pain (London, England)

PMID: 29336514

Abstract

BACKGROUND: Pain in response to noxious cold has a complex molecular background probably involving several types of sensors. A recent observation has been the multimodal distribution of human cold pain thresholds. This study aimed at analysing reproducibility and stability of this observation and further exploration of data patterns supporting a complex background.

Authors

I Weyer-Menkhoff

Institute of Clinical Pharmacology, Goethe - University, Frankfurt am Main, Germany.
M C Thrun

Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Project Group Translational Medicine and Pharmacology TMP, Frankfurt am Main, Germany.
J Lötsch

Institute of Clinical Pharmacology, Goethe-University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.

Keywords

Adolescent Adult Cold Temperature Female Healthy Volunteers Humans Machine Learning Male Middle Aged Pain Pain Perception Pain Threshold Reproducibility of Results TRPA1 Cation Channel Young Adult

External Resources

View on PubMed Access via DOI PubMed (29336514)

Machine-learned analysis of quantitative sensory testing responses to noxious cold stimulation in healthy subjects.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals