Why wet feels wet? A neurophysiological model of human cutaneous wetness sensitivity.
Why wet feels wet? A neurophysiological model of human cutaneous wetness sensitivity.
Although the ability to sense skin wetness and humidity is critical for behavioral and autonomic adaptations, humans are not provided with specific skin receptors for sensing wetness. It has been proposed that we “learn” to perceive the wetness experienced when the skin is in contact with a wet surface or when sweat is produced through a multisensory integration of thermal and tactile inputs generated by the interaction between skin and moisture. However, the individual roles of thermal and tactile cues and how these are integrated peripherally and centrally by our nervous system is still poorly understood. Here we tested the hypothesis that the central integration of coldness and mechanosensation, as subserved by peripheral A-nerve afferents, might be the primary neural process underpinning human wetness sensitivity. During a quantitative sensory test, we found that individuals perceived warm-wet and neutral-wet stimuli as significantly less wet than cold-wet stimuli, although these were characterized by the same moisture content. Also, when cutaneous cold and tactile sensitivity was diminished by a selective reduction in the activity of A-nerve afferents, wetness perception was significantly reduced. Based on a concept of perceptual learning and Bayesian perceptual inference, we developed the first neurophysiological model of cutaneous wetness sensitivity centered on the multisensory integration of cold-sensitive and mechanosensitive skin afferents. Our results provide evidence for the existence of a specific information processing model that underpins the neural representation of a typical wet stimulus. These findings contribute to explaining how humans sense warm, neutral, and cold skin wetness.
1457-1469
Filingeri, D.
42502a34-e7e6-4b49-b304-ce2ae0bf7b24
Fournet, D.
643d3bb8-a62b-4a3e-b758-4b32932c9d93
Hodder, S.
590bb6c3-a326-444a-bef3-67074b43cef8
Havenith, G.
ad24b6f0-0eb3-44a7-ae5f-5d738352f5a7
15 September 2014
Filingeri, D.
42502a34-e7e6-4b49-b304-ce2ae0bf7b24
Fournet, D.
643d3bb8-a62b-4a3e-b758-4b32932c9d93
Hodder, S.
590bb6c3-a326-444a-bef3-67074b43cef8
Havenith, G.
ad24b6f0-0eb3-44a7-ae5f-5d738352f5a7
Filingeri, D., Fournet, D., Hodder, S. and Havenith, G.
(2014)
Why wet feels wet? A neurophysiological model of human cutaneous wetness sensitivity.
Journal of Neurophysiology, 112 (6), .
(doi:10.1152/jn.00120.2014).
Abstract
Although the ability to sense skin wetness and humidity is critical for behavioral and autonomic adaptations, humans are not provided with specific skin receptors for sensing wetness. It has been proposed that we “learn” to perceive the wetness experienced when the skin is in contact with a wet surface or when sweat is produced through a multisensory integration of thermal and tactile inputs generated by the interaction between skin and moisture. However, the individual roles of thermal and tactile cues and how these are integrated peripherally and centrally by our nervous system is still poorly understood. Here we tested the hypothesis that the central integration of coldness and mechanosensation, as subserved by peripheral A-nerve afferents, might be the primary neural process underpinning human wetness sensitivity. During a quantitative sensory test, we found that individuals perceived warm-wet and neutral-wet stimuli as significantly less wet than cold-wet stimuli, although these were characterized by the same moisture content. Also, when cutaneous cold and tactile sensitivity was diminished by a selective reduction in the activity of A-nerve afferents, wetness perception was significantly reduced. Based on a concept of perceptual learning and Bayesian perceptual inference, we developed the first neurophysiological model of cutaneous wetness sensitivity centered on the multisensory integration of cold-sensitive and mechanosensitive skin afferents. Our results provide evidence for the existence of a specific information processing model that underpins the neural representation of a typical wet stimulus. These findings contribute to explaining how humans sense warm, neutral, and cold skin wetness.
This record has no associated files available for download.
More information
Accepted/In Press date: 18 June 2014
Published date: 15 September 2014
Identifiers
Local EPrints ID: 449180
URI: http://eprints.soton.ac.uk/id/eprint/449180
ISSN: 0022-3077
PURE UUID: ca106e74-569a-4cbc-9a30-ced1b516aaf4
Catalogue record
Date deposited: 19 May 2021 16:30
Last modified: 17 Mar 2024 04:05
Export record
Altmetrics
Contributors
Author:
D. Fournet
Author:
S. Hodder
Author:
G. Havenith
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics