Torres Elizabeth B
Department of Psychology, Cognitive Science, Neuroscience, Biomedical Engineering, Computational Biomedical Imaging and Modeling, Rutgers University, Building: Psychology 113/116; CBIM (Lab), 152 Frelinghuysen Road, Piscataway, New Jersey, 08854-8020, USA.
Adv Exp Med Biol. 2016;957:229-254. doi: 10.1007/978-3-319-47313-0_13.
Volition, the acquired voluntary control of our actions (at will), requires from birth to development and beyond a proper balance across multiple layers of the nervous systems. These levels range from the autonomic, to the automatic, to the voluntary control level, providing as well taxonomy with phylogenetic order of appearance in evolution. In the past few decades of movement research at the behavioral and systems levels, there has been a paucity of studies focusing on the possible contributions of involuntary movements to volitional control. Moreover, the work focusing on voluntary behavior has given us a valuable body of knowledge about constrained and highly over practiced activities while work involving unrestrained, naturalistic behaviors remains scarce. Perhaps in making theoretical assumptions about our data acquisition and analyses without properly empirically verifying, these assumptions have left us with a somewhat skewed notion of how we think the brain may be realizing the neural control of bodily motions; a notion that does not exactly correspond to the outcome of the extant empirical work assessing unrestrained movements as the nervous system acquires them and modifies skillful behaviors on demand. This chapter takes advantage of new technological advances and new analytics to invite rethinking some of the problems that we study in movement science by enforcing somewhat oversimplified assumptions on the data that we model, acquire, and analyze. I show that by relaxing our a priori assumptions of normality, linearity and stationarity in data from biophysical rhythms of the nervous systems, we would gain better insights into the motor phenomena. Further, we would shy away from a "self-fulfilling prophesy" paradigm with a tendency to a priori handcraft the outcome of our inquiry. The new lens to study natural movements and their control includes as well involuntary motions that take place largely beneath deliberate awareness. I present examples of solutions amenable to the habilitation and rehabilitation of volition in patient populations and discuss a new vision for movement science in light of making a seamless transition from volitional to intentional control of actions and thoughts.
意志,即我们对自身行为后天获得的自主控制(随意控制),从出生到发育以及之后的阶段,都需要神经系统多层之间达到适当的平衡。这些层次从自主神经系统层面,到自动控制层面,再到自主控制层面,同时也按照进化中出现的系统发育顺序提供了分类法。在过去几十年行为和系统层面的运动研究中,关注非自主运动对意志控制可能贡献的研究很少。此外,关注自愿行为的研究为我们提供了大量关于受限和过度练习活动的宝贵知识,而涉及不受限制的自然行为的研究仍然很少。也许在对我们的数据采集和分析进行理论假设时,没有进行适当的实证验证,这些假设让我们对大脑如何实现身体运动的神经控制产生了某种偏差的观念;这种观念与现存实证研究的结果并不完全相符,这些实证研究评估的是神经系统获取并根据需要修改熟练行为时的无限制运动。本章利用新的技术进步和新的分析方法,通过对我们建模、获取和分析的数据施加一些过于简化的假设,来促使我们重新思考运动科学中研究的一些问题。我表明,通过放宽我们对神经系统生物物理节律数据的正态性、线性和平稳性的先验假设,我们将对运动现象有更好的理解。此外,我们将避免陷入一种“自我实现预言”的范式,这种范式倾向于先验地精心设计我们探究的结果。研究自然运动及其控制的新视角还包括很大程度上发生在有意识感知之下的非自主运动。我给出了适用于患者群体意志恢复和康复的解决方案示例,并根据从对行动和思想的意志控制到意向控制的无缝过渡,讨论了运动科学的新愿景。