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Published April 2014 | Published
Journal Article Open

Intensive tool-practice and skillfulness facilitate the extension of body representations in humans

Abstract

The brain's representation of the body can be extended to include objects that are not originally part of the body. Various studies have found both extremely rapid extensions that occur as soon as an object is held, as well as extremely slow extensions that require weeks of training. Due to species and methodological differences, it is unclear whether the studies were probing different representations, or revealing multiple aspects of the same representation. Here, we present evidence that objects (cotton balls) held by a tool (chopsticks) are rapidly integrated into the body representation, as indexed by fading of the cotton balls (or 'second-order extensions׳) from a positive afterimage. Skillfulness with chopsticks was predictive of more rapid integration of the second-order objects held by this tool. We also found that extensive training over a period of weeks augmented the level of integration. Together, our findings demonstrate integration of second-order objects held by tools, and reveal that the body representation probed by positive afterimages is subject to both rapid and slow processes of adaptive change.

Additional Information

© 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/). Received 21 May 2013; Received in revised form 19 December 2013; Accepted 17 January 2014; Available online 24 January 2014. R.L.R. was supported by a grant from the Netherlands Organization for Scientific Research (Graduate School for Cognitive and Clinical Neuroscience, NWO 22.001.036). A.T.S. was supported by the European Research Council under the European Union's Seventh Framework Program (FP7/2007–2013)/ERC Grant agreement no. [263472]. We thank research-practical group 226 for data collection, Erik Kimbrough, Jan Schepers, and Todd Sorensen for valuable input regarding data analysis, and Sam Ling for his advise and feedback on the manuscript.

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