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Magnifying mistakes boosts motor skills past a performance plateau

August 04, 2016

Exaggerating the visual appearance of mistakes could help people further improve their motor skills after an initial performance peak, according to a new study published in PLOS Computational Biology.

Previous research has shown that manipulating the perception of mistakes can improve motor skills. Dagmar Sternad, Christopher Hasson and colleagues from Northeastern University in Boston and Hokkaido University in Japan set out to examine whether this strategy could further enhance skills after they plateau.

In the study, 42 healthy participants learned a virtual tetherball-like game in which they tried to hit a target with a ball hanging from a pole. After three days, all players reached a performance plateau. Then, for some players, the researchers secretly manipulated the game so that the distance by which the ball missed the target appeared bigger on screen than it actually was.

Participants whose mistakes appeared at least twice as bad as they really were broke past their plateau and continued sharpening their tetherball skills. A control group that remained undeceived showed negligible improvement.

By analyzing the players' actions using computational learning models, the researchers found that error exaggeration did not change how they made corrections in their throwing techniques. Instead, it reduced random fluctuations, or noise, in nervous system signals that control muscle movement. These findings challenge existing assumptions that such noise cannot be reduced.

The authors point out that their results could help improve strategies to aid people who have reached a motor skills plateau, including elite athletes, healthy elders, stroke patients, and children with dystonia. Future research could reveal the physiological mechanisms underlying the findings.
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In your coverage please use this URL to provide access to the freely available article in PLOS Computational Biology: http://dx.plos.org/10.1371/journal. pcbi.1005044

Press-only preview: http://blogs.plos.org/everyone/files/2016/07/Hasson-paper-pcbi.1005044.pdf

Contact: Name: Christopher J. Hasson

Email: c.hasson@northeastern.edu

Citation: Hasson CJ, Zhang Z, Abe MO, Sternad D (2016) Neuromotor Noise Is Malleable by Amplifying Perceived Errors. PLoS Comput Biol 12(8): e1005044. doi:10.1371/journal.pcbi.1005044

Image Caption: Virtual tetherball shows that reducing neural "noise" could help sharpen motor skills

Image Credit: Meridican / Flickr

Image Link: http://blogs.plos.org/everyone/files/2016/07/Hasson-striking-image.jpg

Funding: This work was supported by the National Institute of Child Health and Human Development (NICHD) R01 HD045639, National Institute on Aging (NIA) 1F32 AR061238, National Science Foundation NSF-DMS 0928587, and the U.S. Army Research Institute for the Behavioral and Social Sciences (W5J9CQ-12-C-0046). DS was also supported by a visiting scientist appointment at the Max-Planck Institute for Intelligent Systems in Tübingen, Germany. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding organizations. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing Interests: The authors have declared that no competing interests exist.

About PLOS Computational Biology

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