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首页> 外文期刊>Journal of Neurophysiology >Why wet feels wet? A neurophysiological model of human cutaneous wetness sensitivity
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Why wet feels wet? A neurophysiological model of human cutaneous wetness sensitivity

机译：为什么潮湿会感到潮湿？人皮肤湿润敏感性的神经生理模型

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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.
机译：尽管感知皮肤湿度和湿度的能力对于行为和自主适应至关重要，但人类并未获得用于感知湿度的特定皮肤受体。已经提出，我们学会感知当皮肤与湿表面接触时或当通过皮肤和水分之间的相互作用产生的热和触觉输入的多感官整合而产生汗水时所经历的湿度。然而，对热和触觉提示的个体作用以及它们如何被神经系统在周围和中央整合仍然知之甚少。在这里，我们测试了一种假设，即由周围A神经传入神经所支持的寒冷和机械感觉的中央整合，可能是支撑人类湿度敏感性的主要神经过程。在定量的感官测试中，我们发现尽管湿地的水分含量相同，但人们感觉到的湿热刺激和中湿刺激的湿润程度明显低于冷湿刺激。另外，当通过选择性降低A神经传入神经的活性来降低皮肤的寒冷和触觉敏感性时，湿润感明显降低。基于知觉学习和贝叶斯知觉推断的概念，我们开发了第一个以湿敏和机械敏感的皮肤传入者的多感官整合为中心的皮肤湿度敏感性的神经生理模型。我们的结果为存在特定的信息处理模型提供了证据，该模型支持典型的湿刺激的神经表示。这些发现有助于解释人类如何感觉温暖，中性和寒冷的皮肤湿润。

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