Measures of Implicit and Explicit Adaptation Do Not Linearly Add.

IF 2.7 3区 医学 Q3 NEUROSCIENCES
eNeuro Pub Date : 2024-08-27 Print Date: 2024-08-01 DOI:10.1523/ENEURO.0021-23.2024
Bernard Marius 't Hart, Urooj Taqvi, Raphael Q Gastrock, Jennifer E Ruttle, Shanaathanan Modchalingam, Denise Y P Henriques
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引用次数: 0

Abstract

Moving effectively is essential for any animal. Thus, many different kinds of brain processes likely contribute to learning and adapting movement. How these contributions are combined is unknown. Nevertheless, the field of motor adaptation has been working under the assumption that measures of explicit and implicit motor adaptation can simply be added in total adaptation. While this has been tested, we show that these tests were insufficient. We put this additivity assumption to the test in various ways and find that measures of implicit and explicit adaptation are not additive. This means that future studies should measure both implicit and explicit adaptation directly. It also challenges us to disentangle how various motor adaptation processes do combine when producing movements and may have implications for our understanding of other kinds of learning as well (data and code: https://osf.io/3yhw5).

隐性适应和显性适应的衡量标准并非线性相加。
有效运动对任何动物来说都是至关重要的。因此,许多不同类型的大脑过程都可能有助于学习和适应运动。这些贡献是如何结合在一起的还不得而知。尽管如此,运动适应领域一直都在假设,显性和隐性运动适应的测量结果可以简单地相加为总适应。虽然这一假设已经过测试,但我们发现这些测试并不充分。我们通过各种方法对这一可加性假设进行了测试,结果发现内隐适应和外显适应的测量结果并不具有可加性。这意味着未来的研究应该直接测量内隐适应和外显适应。这也向我们提出了挑战,即在产生动作时,如何将各种运动适应过程结合起来,并可能对我们理解其他类型的学习产生影响(数据和代码:https://osf.io/3yhw5)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
eNeuro
eNeuro Neuroscience-General Neuroscience
CiteScore
5.00
自引率
2.90%
发文量
486
审稿时长
16 weeks
期刊介绍: An open-access journal from the Society for Neuroscience, eNeuro publishes high-quality, broad-based, peer-reviewed research focused solely on the field of neuroscience. eNeuro embodies an emerging scientific vision that offers a new experience for authors and readers, all in support of the Society’s mission to advance understanding of the brain and nervous system.
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