High-resolution imaging of skin deformation shows that afferents from human fingertips signal slip onset

Author:

Delhaye Benoit P12ORCID,Jarocka Ewa3,Barrea Allan12ORCID,Thonnard Jean-Louis12,Edin Benoni3,Lefèvre Philippe12ORCID

Affiliation:

1. Institute of Information and Communication Technologies, Electronics and Applied Mathematics, Université catholique de Louvain, Louvain-la-Neuve, Belgium

2. Institute of Neuroscience, Université catholique de Louvain, Brussels, Belgium

3. Department of Integrative Medical Biology, Umeå University, Umeå, Sweden

Abstract

Human tactile afferents provide essential feedback for grasp stability during dexterous object manipulation. Interacting forces between an object and the fingers induce slip events that are thought to provide information about grasp stability. To gain insight into this phenomenon, we made a transparent surface slip against a fixed fingerpad while monitoring skin deformation at the contact. Using microneurography, we simultaneously recorded the activity of single tactile afferents innervating the fingertips. This unique combination allowed us to describe how afferents respond to slip events and to relate their responses to surface deformations taking place inside their receptive fields. We found that all afferents were sensitive to slip events, but fast-adapting type I (FA-I) afferents in particular faithfully encoded compressive strain rates resulting from those slips. Given the high density of FA-I afferents in fingerpads, they are well suited to detect incipient slips and to provide essential information for the control of grip force during manipulation.

Funder

European Space Agency

PRODEX

Swedish Research Council

Fonds De La Recherche Scientifique - FNRS

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference51 articles.

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4. Perception of partial slips under tangential loading of the fingertip;Barrea;Scientific Reports,2018

5. Directional field computation for fingerprints based on the principal component analysis of local gradients;Bazen,2000

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