The spatial specificity of sensory attenuation for self-touch.

Efference copy Self-touch Sensory attenuation Spatial sensitivity

Journal

Consciousness and cognition
ISSN: 1090-2376
Titre abrégé: Conscious Cogn
Pays: United States
ID NLM: 9303140

Informations de publication

Date de publication:
07 2021
Historique:
received: 05 12 2020
revised: 29 03 2021
accepted: 13 04 2021
pubmed: 3 5 2021
medline: 25 11 2021
entrez: 2 5 2021
Statut: ppublish

Résumé

Self-touch is sensed less intense as touch produced by another person. According to the standard explanation, if predicted and actual sensations match, the intensity of the touch will be reduced. Here, we asked whether sensory attenuation is spatially specific. To this end, participants laid their left hand under a metal arc on which a force sensor was mounted. Pressing the sensor caused one of two motors to rotate a lever that either touched the index or the ring finger. We took care that no cues would reveal in advance which of the motors would move in order to leave participants uninformed about the finger that will be stimulated. Any reduction in felt intensity of the touch could therefore be induced only by the efference copy of the touching movement. We found strong spatial specificity of sensory attenuation of self-touch, selecting between two fingers of the same hand.

Identifiants

pubmed: 33934049
pii: S1053-8100(21)00061-1
doi: 10.1016/j.concog.2021.103135
pmc: PMC8193814
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

103135

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

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Auteurs

Franziska Knoetsch (F)

Institute for Experimental Psychology, Heinrich Heine University Düsseldorf, Universitätsstr. 1, 40225 Düsseldorf, Germany.

Eckart Zimmermann (E)

Institute for Experimental Psychology, Heinrich Heine University Düsseldorf, Universitätsstr. 1, 40225 Düsseldorf, Germany. Electronic address: eckart.zimmermann@hhu.de.

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Classifications MeSH