Fraser Dagmar Scott, Di Luca Massimiliano, Cook Jennifer Louise
School of Psychology, University of Birmingham, Birmingham, UK.
Exp Brain Res. 2025 Apr 3;243(5):107. doi: 10.1007/s00221-025-07065-0.
The 'one-third power law', relating velocity to curvature is among the most established kinematic invariances in bodily movements. Despite being heralded amongst the 'kinematic laws of nature' (Flash 2021, p. 4), there is no consensus on its origin, common reporting practice, or vetted analytical protocol. Many legacy elements of analytical protocols in the literature are suboptimal, such as noise amplification from repeated differentiation, biases arising from filtering, log transformation distortion, and injudicious linear regression, all of which undermine power law calculations. Recent findings of power law divergences in clinical populations have highlighted the need for improved protocols. This article reviews prior power law calculation protocols, identifies suboptimal practices, before proposing candidate solutions grounded in the kinematics literature. We evaluate these candidates via two simple criteria: firstly, they must avoid spurious confirmation of the law, secondly, they must confirm the law when it is present. Ultimately, we synthesise candidate solutions into a vetted, modular protocol which we make freely available to the scientific community. The protocol's modularity accommodates future analytical advances and permits re-use in broader kinematic science applications. We propose that adoption of this protocol will eliminate artificial confirmation of the law and facilitate more sensitive quantification of recently noted power law divergences, which are associated with neurochemical disturbances arising from dopaminergic drugs, and in conditions such as Parkinson's and autism.
将速度与曲率相关联的“三分之一次幂定律”是身体运动中最确定的运动不变性之一。尽管它被誉为“自然运动定律”(Flash,2021年,第4页),但其起源、常见报告做法或经过审查的分析方案尚无共识。文献中分析方案的许多传统元素都不尽如人意,例如重复求导导致的噪声放大、滤波产生的偏差、对数变换失真以及不当的线性回归,所有这些都会破坏幂定律的计算。临床人群中幂定律差异的最新发现凸显了改进方案的必要性。本文回顾了先前的幂定律计算方案,识别了不尽如人意的做法,然后提出了基于运动学文献的候选解决方案。我们通过两个简单标准评估这些候选方案:首先,它们必须避免对该定律的虚假证实;其次,当该定律存在时,它们必须证实该定律。最终,我们将候选解决方案综合成一个经过审查的模块化方案,并免费提供给科学界。该方案的模块化适应了未来的分析进展,并允许在更广泛的运动科学应用中重复使用。我们建议采用该方案将消除对该定律的人为证实,并有助于更敏感地量化最近发现的幂定律差异,这些差异与多巴胺能药物引起的神经化学紊乱以及帕金森病和自闭症等疾病有关。