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评估与康复身体表征(神经)机器人技术:一种新出现的观点。

Assess and rehabilitate body representations (neuro)robotics: An emergent perspective.

作者信息

Risso Gaia, Bassolino Michela

机构信息

School of Health Sciences, Haute École spécialisée de Suisse occidentale (HES-SO) Valais-Wallis, Sion, Switzerland.

The Sense Innovation and Research Center, Sion, Switzerland.

出版信息

Front Neurorobot. 2022 Sep 8;16:964720. doi: 10.3389/fnbot.2022.964720. eCollection 2022.

Abstract

The perceptions of our own body (e.g., size and shape) do not always coincide with its real characteristics (e.g., dimension). To track the complexity of our perception, the concept of mental representations (model) of the body has been conceived. Body representations (BRs) are stored in the brain and are maintained and updated through multiple sensory information. Despite being altered in different clinical conditions and being tightly linked with self-consciousness, which is one of the most astonishing features of the human mind, the BRs and, especially, the underlying mechanisms and functions are still unclear. In this vein, here we suggest that (neuro)robotics can make an important contribution to the study of BRs. The first section of the study highlights the potential impact of robotics devices in investigating BRs. Far to be exhaustive, we illustrate major examples of its possible exploitation to further improve the assessment of motor, haptic, and multisensory information building up the BRs. In the second section, we review the main evidence showing the contribution of neurorobotics-based (multi)sensory stimulation in reducing BRs distortions in various clinical conditions (e.g., stroke, amputees). The present study illustrates an emergent multidisciplinary perspective combining the neuroscience of BRs and (neuro)robotics to understand and modulate the perception and experience of one's own body. We suggest that (neuro)robotics can enhance the study of BRs by improving experimental rigor and introducing new experimental conditions. Furthermore, it might pave the way for the rehabilitation of altered body perceptions.

摘要

我们对自身身体的认知(如大小和形状)并不总是与身体的实际特征(如尺寸)相符。为了追踪我们认知的复杂性,人们提出了身体心理表征(模型)的概念。身体表征(BRs)存储在大脑中,并通过多种感官信息得以维持和更新。尽管在不同临床状况下会发生改变,且与自我意识紧密相连,而自我意识是人类思维最惊人的特征之一,但身体表征,尤其是其潜在机制和功能仍不清楚。有鉴于此,我们在此提出,(神经)机器人技术可为身体表征的研究做出重要贡献。研究的第一部分强调了机器人设备在研究身体表征方面的潜在影响。我们远未做到详尽无遗,而是列举了其可能应用的主要例子,以进一步改进对构成身体表征的运动、触觉和多感官信息的评估。在第二部分中,我们回顾了主要证据,这些证据表明基于神经机器人技术的(多)感官刺激在减少各种临床状况(如中风、截肢者)下身体表征的扭曲方面所起的作用。本研究阐述了一种新兴的多学科视角,即将身体表征神经科学与(神经)机器人技术相结合,以理解和调节对自身身体的感知和体验。我们认为,(神经)机器人技术可以通过提高实验严谨性和引入新的实验条件来加强对身体表征的研究。此外,它可能为改变的身体感知的康复铺平道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad1d/9498221/09da5d2190d0/fnbot-16-964720-g0001.jpg

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