Wednesday, 25 June 2014

Have you ever asked yourself why wet feels wet? Our new neurophysiological model tries to answer this question

I am back! Apologies for the intermittent blogging but as many of you know, it is hard to keep things together when trying to finish a PhD in time! Luckily, things are now getting better, so hopefully I will be blogging a bit more frequently.

One of the reasons of my silence is actually related to what I am going to share with you today. As the followers of this blog probably remember, one of my research interests has focused on trying to elucidate how humans sense wetness, moisture or sweat on their skin, given that as mammals, we are surprisingly not provided with skin receptors for this sensation/perception. However, sensing skin wetness is such a common experience in our life. Have a think. How often do you have a shower (hopefully for your partner VERY often :)? How often do you wash your hands, or sweat because of exercise? And how quickly do you recognize that sensation of wetness? Milliseconds? Probably. So now think that your brain does that without having specific receptors for humidity on the skin. We have receptors for temperature, pain, pressure, but not humidity.  How does it work then? Well…hopefully I have now stimulated your curiosity enough so that you will keep reading this post where I will try to answer that question.   


After a number of experiments, whose outcomes have been summarised in these 3 recent publications (Neuroscience, Skin Research and Technology, NeuroscienceLetters), we have finally designed and performed an experiment, which has contributed to develop a neurophysiological model for the perception of skin wetness, and which we believe, helps understanding how our brain recognises and tells us when our skin is wet. Indeed, for the first time to our knowledge, our findings provide an evidence-based scientific explanation for how our nervous system processes such a common experience such is experiencing wetness on the skin. This model has been just published in the Journal of Neurophysiology, a prestigious journal edited by the American PhysiologicalSociety. So here is an overview of the study we performed, the model we developed as well as the potential implication of this knowledge not only for the general population, but also for clinical groups, such as patients affected by Multiple Sclerosis and polyneuropathies.

 2014 Jun 18. pii: jn.00120.2014. [Epub ahead of print]

Why wet feels wet? A neurophysiological model of human cutaneous wetness sensitivity.

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 role 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 ones, 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 and mechano sensitive skin afferents. Our results provide evidence for the existence of a specific information processing model which underpins the neural representation of a typical wet stimulus. These findings contribute to explain how humans sense warm, neutral and cold skin wetness.
Copyright © 2014, Journal of Neurophysiology.

KEYWORDS:

A-nerve fibers; mechanoreceptors; skin; thermoreceptors; wetness



What do we know about the way we sense wetness?
First of all, sensing wetness is in general very important for humans, both for behavioural and autonomic adaptations. Why? Because, for example, perceiving changes in ambient humidity and skin wetness has been shown to impact thermal comfort and thus the thermoregulatory behaviour, both in healthy and clinical populations (e.g. individuals suffering from rheumatic pain). Another example is that perceiving wetness is important for you eye’s health. Indeed, from an autonomic perspective, decreases in ocular wetness seem to initiate the lacrimation reflex in order to maintain a tear film to protect the ocular surface. Individuals who suffer from dry eyes syndrome know very well how uncomfortable their eyes’ inability to sense dryness and thus producing tear drops can be. Sensing roughness and wetness with our hands and fingers is also critical for precision grip and object manipulation. Wet objects are indeed more difficult to manipulate because they can be slippery. However, by sensing their “wetness” we adjust the way we interact with them. However, despite the ability to sense wetness plays an important role in many of our physiological and behavioural activities, the neurophysiological mechanisms underlying this complex sensory experience were still poorly understood until now. 




As human beings, we seem to “learn” to perceive the wetness experienced when the skin is in contact with a wet surface or when sweat is produced through a complex multisensory integration of thermal (i.e. heat transfer) and tactile (i.e. mechanical pressure and friction) inputs generated by the interaction between skin, moisture and (if donned) clothing. The hypothesis of wetness as a “perceptual illusion” shaped by sensory experience has been supported by our previous findings. We have recently shown that exposing the skin to cold-dry stimuli (resulting in cooling rates similar to the ones occurring during the evaporation of water from the skin) can evoke an illusion of local skin wetness. This could be due to the fact that we seem to interpret the coldness experienced during the evaporation of moisture from the skin as a signal of the presence of moisture (and thus wetness) on the skin surface. In line with this hypothesis, we have also observed that during the static contact with a warm-wet surface (with a temperature warmer than the skin) no local skin wetness was perceived, as no skin cooling, and thus no cold sensations occurred. Furthermore, we have recently demonstrated that tactile inputs could have a role in modulating the perception of skin wetness.
Thus, these observations have led us to hypothesise that the central integration of coldness and tactile sensation, as subserved by peripheral A-nerve fibers in the skin, might be the primary neural process underpinning humans’ ability to sense wetness (Fig.1). However, what remained unclear was the individual role of thermal and tactile cues and how these are integrated peripherally as well as centrally by our nervous system. 


Figure 1. The hypothesised practical model for sensing wetness

If the multimodal integration of coldness and mechanosensation was the main neural process for sensing wetness, we thought it would be reasonable to hypothesize that during the contact with a wet surface, the absence of any coldness and mechanosensation, either if naturally (i.e. contact with a warm-wet or neutral-wet surface) or artificially induced (i.e. during a selective reduction in the cold and mechano sensitivity of the skin), would result in a reduced cutaneous sensitivity to wetness. Hence, in the present study, we used psychophysical methods to investigate the role of thermal and tactile afferents and their central integration in the perception of skin wetness under normal fiber function and under a selective reduction in the activity of A-nerve afferents (sub-serving cold and mechano sensation).


What did we do in this study?
13 male participants took part in 3 experimental trials, during which the same quantitative sensory test was administered. The hairy skin of the ventral side of the left forearm (i.e. mid-distance between elbow and wrist) and the glabrous skin of the left index finger pad were exposed to the contact with a warm-wet (35°C), neutral-wet (30°C) and a cold-wet (25°C) stimulus during 3 phases: static, dynamic and evaporation (i.e. post-contact). During the contact with the stimuli, participants reported their local thermal and wetness perceptions on a hand-scored 100mm visual analog scale for thermal (anchor points: hot and cold) and wetness perception (anchor points: completely dry and completely wet), while skin temperature at the contact site was continuously monitored (Fig.2).



Figure 2. The experimental setting

The 3 experimental trials differed with regards to the presence or absence of a selective reduction in the activity of A-nerve fibers (and thus coldness and mechano sensation) and to the skin site stimulated. All 13 participants performed: one trial during which no nerve block was performed (NO-BLOCK) and the skin of the forearm and finger pad were exposed to the wet stimuli; two separate trials during which a selective reduction in coldness and mechano sensation of the skin was performed through local compression-ischemia, and the skin of the forearm (FA-BLOCK) or finger pad (FI-BLOCK) was exposed to the contact with the wet stimuli. In the FA-BLOCK and FI-BLOCK trials, participants underwent an initial selective reduction in the activity of A-nerve fibers and then were passively exposed to the warm-wet, neutral-wet and cold-wet stimuli.  The aim of this procedure was to reduce cutaneous cold and mechano sensitivity and it was performed through a modified local compression-ischemia protocol. This method has been previously shown to induce a dissociated reduction in A-fibers afferent activity as the compression ischemia impacts transmission in myelinated A-fibers before C-fibers (i.e. primarily sub-serving conscious warmth and pain sensitivity) are affected. Compression-ischemia was induced by inflating a sphygmomanometer cuff on the upper arm to a suprasystolic pressure (i.e.140mmHg) for a maximum duration of 25min (Fig. 3).



Figure 3. The compression ischemia protocol used to artificially reduce cold and mechano sensitivity of the skin


What did we found?
By exposing hairy and glabrous skin sites to the static and dynamic contact with warm-wet, neutral-wet and cold-wet stimuli characterized by the same moisture content (i.e. 20µL/cm2), we found that during a static contact, wetness perception increases with decreasing contact temperatures and that during a subsequent dynamic interaction, wetness perception increases regardless of the thermal inputs available. Also, we observed that when cutaneous cold and mechano sensitivity was significantly diminished through a selective reduction in the activity of A-nerve afferents, the extent of perceived wetness was also significantly reduced, both on the forearm and index finger pad. Finally, a trend was observed with the extent of perceived wetness being higher on the hairy than on the glabrous skin.
In summary, our results indicated that the central integration of conscious coldness and mechanosensation, as sub-served by peripheral myelinated A-nerve fibers, could be the primary neural process underpinning humans’ ability to sense wetness. To our knowledge the present study is the first to provide evidence in support of the hypothesis that a specific information processing model for cutaneous wetness sensitivity exists and that this is centred on the multisensory integration of cold and mechano sensitive skin afferents. Based on these outcomes, we developed the first neurophysiological model of human cutaneous wetness sensitivity.


A neurophysiological model for wetness perception
In our proposed information processing model (Fig. 4), two main neural pathways are suggested to subserve cutaneous wetness sensitivity: one referring to the afferent activity of cold sensitive Aδ-nerve fibers (projecting through the spinothalamic tract), and one referring to the afferent activity of mechano sensitive Aß fibers (projecting through the dorsal-column medial lemniscal pathway). The outcomes of this study have indeed indicated that in order to sense cutaneous wetness, a multimodal integration of cold and mechanical sensory inputs had to take place (Fig. 4A). From a functional point of view, this was confirmed by the fact that when the activity of A-nerve fibers was selectively reduced, the extent of perceived wetness was also significantly reduced (Fig. 4B). From a central processing point of view, this was confirmed by the fact that, although all the stimuli had the same moisture levels, warm-wet and neutral-wet stimuli were sensed as significantly less wet than the cold-wet one.



Figure 4. The neurophysiological model we developed to explain what sensory inputs contribute to the perception of skin wetness according tot the temperature of the stimulus (warm, neutral or cold) and the modality of interaction (static or dynamic).

At this point however, although perceiving coldness and stickiness is likely to be determinant in the ability to process wetness at a central level, everyday experience suggest that we are able to sense wetness even in the absence of coldness (e.g. during exposure to warm-humid environments or when in contact with warm water). In these particular conditions, the mechanical and pressure related sensations resulting from the afferent information generated by cutaneous mechanosensitive fibers could therefore play a critical role in the ability to sense wetness.
Figure 4C,D shows the process through which warm moisture could be sensed. When the skin is in static contact with warm moisture (i.e. temperature above skin temperature), no activation of cold sensitive Aδ-nerve fibers occurs, and only C-fibers, (subserving conscious warmth sensitivity), and Aß-nerve fibers (subserving light touch) are involved in the somato-sensation of moisture (Fig. 4C). In this scenario, as Aß are the only nerve fibers available within the processing model we suggest to subserve wetness, cutaneous wetness will be sensed only if a higher level of mechanosensory afferents i.e. a dynamic interaction between skin and warm moisture will occur (Fig. 4D). A similar mechanism applies if the skin is in contact with neutral moisture (i.e. with a temperature equal to Tsk) (Fig. 4E,F). In support of this, it is known that individuals’ ability to sense sensitivity is increased by a higher availability of mechanosensory afferents, as occurring during the dynamic exploration of a wet material. Indeed, when manipulating a wet object, if thermal cues (e.g. thermal conductance of a wet material) provide insufficient sensory inputs, individuals seem to use mechanical cues (e.g. stickiness resulting from the adhesion of a wet material to the skin) to aid them in the perception of wetness. 
The fact that humans seem to associate “feeling colder” with “feeling wetter” is not entirely surprising, and could be due to learning factors. For example, the contact with a wet surface often results in colder sensations than the ones resulting from the contact with a dry surface. In this regard, the skin’s contact with a wet fabric has been suggested to be perceived as wet, as the presence of moisture leads to higher heat losses from the skin (and thus colder sensations), due to a higher thermal conductivity of a wet as opposed to a dry fabric. As for the same learning process, psychophysical studies have indeed shown that as humans we tend to associate the blend of warmth and light pressure more to the perception of oiliness than to perception of wetness. Everyday’s life further provides evidence in support of why, in the absence of stickiness, warm sensations only seem not to be associated to the perception of wetness. For example, a bleeding nose is an experience we usually become aware of only after this has been pointed out to us, and the “wet area” has been haptically explored by touch. This could be due to the fact that blood temperature (~37°C) is usually higher than skin temperature (~30°C).


Summary and implications for general and clinical populations
In summary, with this study we have developed the first neurophysiological model of cutaneous wetness sensitivity (which is based on the multimodal integration of cold and mechano sensitive somatosensory afferents) in order to explain how humans could sense warm, neutral and cold cutaneous wetness. This model supports the hypothesis that the brain infers about the perception of wetness in a rational fashion, taking into account the variance associated with thermal and mechano afferents evoked by the contact with wet stimuli, and comparing this with a potential neural representation of a “typical wet stimulus”, which is based on prior sensory experience. In this respect, our findings have both a fundamental, as well as a clinical significance. They provide insights on the integration and processing of somatosensory information occurring between peripheral and central nervous system. Also, they provide insights on the possible origin of symptoms such as spontaneous sensations of cold wetness experienced across the body by individual suffering from multiple sclerosis or polyneurophaties. As these disorders have been shown to affect peripheral A-nerve fibers functions and to alter somatic perception, the neurophysiological model of cutaneous wetness sensitivity developed in this study could be used as a frame of reference for normal and altered somatosensory function.

To give you a practical example of  how feeling cold and wet can tell us about the state of  our nervous system, have a look at the 5th video on this page, where a post-stroke patient repeatedly report sensations of cold-wetness on his feet without these being wet:



Davide Filingeri
PhD Researcher
Environmental Ergonomics Research Centre
Loughborough University, UK

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