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      Rapid learning and unlearning of predicted sensory delays in self-generated touch

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          Abstract

          Self-generated touch feels less intense and less ticklish than identical externally generated touch. This somatosensory attenuation occurs because the brain predicts the tactile consequences of our self-generated movements. To produce attenuation, the tactile predictions need to be time-locked to the movement, but how the brain maintains this temporal tuning remains unknown. Using a bimanual self-touch paradigm, we demonstrate that people can rapidly unlearn to attenuate touch immediately after their movement and learn to attenuate delayed touch instead, after repeated exposure to a systematic delay between the movement and the resulting touch. The magnitudes of the unlearning and learning effects are correlated and dependent on the number of trials that participants have been exposed to. We further show that delayed touches feel less ticklish and non-delayed touches more ticklish after exposure to the systematic delay. These findings demonstrate that the attenuation of self-generated touch is adaptive.

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          Most cited references52

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          The assessment and analysis of handedness: The Edinburgh inventory

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            Central cancellation of self-produced tickle sensation.

            A self-produced tactile stimulus is perceived as less ticklish than the same stimulus generated externally. We used fMRI to examine neural responses when subjects experienced a tactile stimulus that was either self-produced or externally produced. More activity was found in somatosensory cortex when the stimulus was externally produced. In the cerebellum, less activity was associated with a movement that generated a tactile stimulus than with a movement that did not. This difference suggests that the cerebellum is involved in predicting the specific sensory consequences of movements, providing the signal that is used to cancel the sensory response to self-generated stimulation.
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              Principles of sensorimotor learning.

              The exploits of Martina Navratilova and Roger Federer represent the pinnacle of motor learning. However, when considering the range and complexity of the processes that are involved in motor learning, even the mere mortals among us exhibit abilities that are impressive. We exercise these abilities when taking up new activities - whether it is snowboarding or ballroom dancing - but also engage in substantial motor learning on a daily basis as we adapt to changes in our environment, manipulate new objects and refine existing skills. Here we review recent research in human motor learning with an emphasis on the computational mechanisms that are involved.
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                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                18 November 2019
                2019
                : 8
                : e42888
                Affiliations
                [1 ]deptDepartment of Neuroscience Karolinska Institutet StockholmSweden
                University of California, Berkeley United States
                University of California, Berkeley United States
                University of California, Berkeley United States
                Bielefeld Germany
                Author information
                https://orcid.org/0000-0002-6887-6434
                https://orcid.org/0000-0003-2333-345X
                Article
                42888
                10.7554/eLife.42888
                6860990
                31738161
                d3324061-6785-49cf-9e28-bb2fe3428ad5
                © 2019, Kilteni et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 25 October 2018
                : 23 October 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100010665, H2020 Marie Skłodowska-Curie Actions;
                Award ID: Marie Sklodowska-Curie Individual Fellowship #704438
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004359, Swedish Research Council;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100007464, Torsten Söderberg Foundation;
                Award ID: Torsten Söderbergs Stiftelse
                Award Recipient :
                Funded by: Göranssonska Stiftelserna;
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Neuroscience
                Custom metadata
                The brain continuously updates the learned temporal relationship between motor commands and their associated somatosensory feedback, which determines the perceived intensity and ticklishness of self-touch.

                Life sciences
                somatosensory attenuation,sensorimotor delays,prediction errors,forward models,tickling,motor learning,human

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