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Mechanoreceptive Aβ primary afferents discriminate naturalistic social touch inputs at a functionally relevant time scale
University of Virginia, Charlottesville, VA, USA.
University of Virginia, Charlottesville, VA, USA.
Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Department of Biomedical and Clinical Sciences, Center for Social and Affective Neuroscience.ORCID iD: 0000-0001-8773-8232
University of Virginia, Charlottesville, VA, USA.
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2025 (English)In: IEEE Transactions on Affective Computing, E-ISSN 1949-3045, Vol. 16, no 1, p. 346-359Article in journal (Refereed) Published
Abstract [en]

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.  

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2025. Vol. 16, no 1, p. 346-359
National Category
Neurosciences
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URN: urn:nbn:se:liu:diva-207287DOI: 10.1109/taffc.2024.3435060ISI: 001470259700003PubMedID: 39629608Scopus ID: 2-s2.0-86000431250OAI: oai:DiVA.org:liu-207287DiVA, id: diva2:1894326
Note

Funding Agencies|National Science Foundation [IIS-1908115]; National Institutes of Health [NINDS R01NS105241]; Swedish Research Council [2020-01085]

Available from: 2024-09-03 Created: 2024-09-03 Last updated: 2025-05-07

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Nagi, SaadOlausson, HåkanMcintyre, Sarah

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Nagi, SaadJarocka, EwaOlausson, HåkanMcintyre, Sarah
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Faculty of Medicine and Health SciencesCenter for Social and Affective NeuroscienceDepartment of Clinical Neurophysiology
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IEEE Transactions on Affective Computing
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