York University, Toronto, Ontario M3J 1P3, Canada
University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.
eNeuro. 2024 Aug 27;11(8). doi: 10.1523/ENEURO.0021-23.2024. Print 2024 Aug.
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).
有效地移动对于任何动物都是至关重要的。因此，许多不同类型的大脑过程可能有助于学习和适应运动。这些贡献是如何结合的尚不清楚。尽管如此，运动适应领域一直假设，可以简单地将显式和隐式运动适应的测量值加总来得到总适应。虽然已经对此进行了测试，但我们表明这些测试是不够的。我们以各种方式对这种加和性假设进行了检验，发现隐式和显式适应的测量值不是加和的。这意味着未来的研究应该直接测量隐式和显式适应。这也要求我们去厘清在产生运动时各种运动适应过程是如何结合的，这可能对我们理解其他类型的学习也有影响（数据和代码：https://osf.io/3yhw5）。
