Cannestro Gianna Adalia, Abd Moaed A, Engeberg Erik, Tognoli Emmanuelle
Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, United States of America.
Ocean and Mechanical Engineering, Florida Atlantic University, Boca Raton, United States of America.
Converg Clin Eng Res Neurorehabilit IV (2020). 2022;28:635-639. doi: 10.1007/978-3-030-70316-5_102. Epub 2021 Oct 2.
Tactile perception is a multifaceted sense with complicated convergent/divergent peripheral pathways. Its neuromarkers remain poorly understood, due to the sense's inherent complexity and the confounding factor of intricate motor, cognitive and affective correlates. This gap hinders research evaluating interventions to restore touch in artificial hands. We inventorize state-of-the-art and recent innovations in control systems with soft and hard robotics that are poised to unlock more targeted non-invasive stimulations. We review neuromarkers observed for pressure, vibration, brushing, texture discrimination, pain, heat and cold, complemented with the covariates from movement, attention, working memory, multisensory and sensorimotor integration or competition (audition, vision) and affect. We analyze neural oscillations during sensory and (peripheral and central) electro-magnetic stimulation. This review matures a framework of reverse prediction, in which non-invasive observation of neural activity robustly and unobtrusively quantifies tactile perception.
触觉是一种多方面的感觉,具有复杂的会聚/发散外周通路。由于这种感觉固有的复杂性以及复杂的运动、认知和情感关联的混杂因素,其神经标志物仍知之甚少。这一差距阻碍了评估恢复假手触觉干预措施的研究。我们梳理了软硬机器人控制系统的最新技术和创新,这些技术有望实现更具针对性的非侵入性刺激。我们回顾了在压力、振动、轻刷、纹理辨别、疼痛、热和冷方面观察到的神经标志物,并辅以运动、注意力、工作记忆、多感官和感觉运动整合或竞争(听觉、视觉)及情感方面的协变量。我们分析了感觉和(外周及中枢)电磁刺激过程中的神经振荡。本综述完善了一个反向预测框架,其中对神经活动的非侵入性观察能够可靠且不显眼地量化触觉感知。