Mechanoreceptive Aβ Primary Afferents Discriminate Naturalistic Social Touch Inputs at a Functionally Relevant Time Scale

IF 9.8 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Affective Computing Pub Date : 2024-07-29 DOI:10.1109/TAFFC.2024.3435060
Shan Xu;Steven C. Hauser;Saad S. Nagi;James A. Jablonski;Merat Rezaei;Ewa Jarocka;Andrew G. Marshall;Håkan Olausson;Sarah McIntyre;Gregory J. Gerling
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Abstract

Interpersonal touch is an important channel of social emotional interaction. How these physical skin-to-skin touch expressions are processed in the peripheral nervous system is not well understood. From microneurography recordings in humans, we evaluated the capacity of six subtypes of cutaneous mechanoreceptive afferents to differentiate human-delivered social touch expressions. Leveraging statistical and classification analyses, we found that single units of multiple mechanoreceptive Aβ subtypes, especially slowly adapting type II (SA-II) and fast adapting hair follicle afferents (HFA), can reliably differentiate social touch expressions at accuracies similar to human recognition. We then identified the most informative firing patterns of SA-II and HFA afferents, which indicate that average durations of 3-4 s of firing provide sufficient discriminative information. Those two subtypes also exhibit robust tolerance to spike-timing shifts of up to 10-20 ms, varying with touch expressions due to their specific firing properties. Greater shifts in spike-timing, however, can change a firing pattern's envelope to resemble that of another expression and drastically compromise an afferent's discrimination capacity. Altogether, the findings indicate that SA-II and HFA afferents differentiate the skin contact of social touch at time scales relevant for such interactions, which are 1-2 orders of magnitude longer than those for non-social touch.
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机械感受性 Aβ 初级传入在功能相关的时间尺度上分辨自然社会触觉输入信号
人际接触是社会情感互动的重要渠道。周围神经系统是如何处理这些皮肤对皮肤的物理触摸表达的,目前还不清楚。从人类的微神经记录中,我们评估了六种皮肤机械感受传入神经亚型区分人类传递的社交触摸表达的能力。利用统计和分类分析,我们发现多个机械感受性Aβ亚型的单个单位,特别是慢适应型II (SA-II)和快速适应毛囊传入(HFA),可以可靠地区分社交触摸表达,其准确性与人类识别相似。然后,我们确定了最具信息量的SA-II和HFA事件的发射模式,这表明平均持续时间为3-4秒的发射提供了足够的判别信息。这两种亚型也表现出对高达10-20 ms的峰值时间变化的强大耐受性,由于它们特定的放电特性,随着触摸表达的变化而变化。然而,在峰值时间上的更大变化,可以改变一个放电模式的包络,使其与另一个表达的包络相似,并极大地损害传入信号的辨别能力。总的来说,研究结果表明,SA-II和HFA传入事件在与这种相互作用相关的时间尺度上区分了社交触摸的皮肤接触,这些时间尺度比非社交触摸的时间尺度长1-2个数量级。
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来源期刊
IEEE Transactions on Affective Computing
IEEE Transactions on Affective Computing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
15.00
自引率
6.20%
发文量
174
期刊介绍: The IEEE Transactions on Affective Computing is an international and interdisciplinary journal. Its primary goal is to share research findings on the development of systems capable of recognizing, interpreting, and simulating human emotions and related affective phenomena. The journal publishes original research on the underlying principles and theories that explain how and why affective factors shape human-technology interactions. It also focuses on how techniques for sensing and simulating affect can enhance our understanding of human emotions and processes. Additionally, the journal explores the design, implementation, and evaluation of systems that prioritize the consideration of affect in their usability. We also welcome surveys of existing work that provide new perspectives on the historical and future directions of this field.
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