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主动触觉过程中的愉悦和感官特性的触觉评估:一项脑电图研究。

Tactile estimation of hedonic and sensory properties during active touch: An electroencephalography study.

机构信息

School of Psychology, University of Liverpool, Liverpool, UK.

Institute of Risk and Uncertainty, University of Liverpool, Liverpool, UK.

出版信息

Eur J Neurosci. 2023 Sep;58(6):3412-3431. doi: 10.1111/ejn.16101. Epub 2023 Jul 30.

Abstract

Perceptual judgements about our physical environment are informed by somatosensory information. In real-world exploration, this often involves dynamic hand movements to contact surfaces, termed active touch. The current study investigated cortical oscillatory changes during active exploration to inform the estimation of surface properties and hedonic preferences of two textured stimuli: smooth silk and rough hessian. A purpose-built touch sensor quantified active touch, and oscillatory brain activity was recorded from 129-channel electroencephalography. By fusing these data streams at a single trial level, oscillatory changes within the brain were examined while controlling for objective touch parameters (i.e., friction). Time-frequency analysis was used to quantify changes in cortical oscillatory activity in alpha (8-12 Hz) and beta (16-24 Hz) frequency bands. Results reproduce findings from our lab, whereby active exploration of rough textures increased alpha-band event-related desynchronisation in contralateral sensorimotor areas. Hedonic processing of less preferred textures resulted in an increase in temporoparietal beta-band and frontal alpha-band event-related desynchronisation relative to most preferred textures, suggesting that higher order brain regions are involved in the hedonic processing of texture. Overall, the current study provides novel insight into the neural mechanisms underlying texture perception during active touch and how this process is influenced by cognitive tasks.

摘要

我们对物理环境的感知判断受到躯体感觉信息的影响。在现实世界的探索中,这通常涉及到动态的手部运动来接触表面,称为主动触觉。本研究调查了主动探索过程中皮质振荡变化,以告知对两种纹理刺激(光滑丝绸和粗糙麻布)的表面属性估计和愉悦偏好。一个定制的触摸传感器量化了主动触摸,并且从 129 通道脑电图记录了振荡的脑活动。通过在单个试验水平上融合这些数据流,在控制客观触摸参数(即摩擦)的同时检查大脑内的振荡变化。时频分析用于量化皮质振荡活动在 alpha(8-12 Hz)和 beta(16-24 Hz)频段中的变化。结果再现了我们实验室的发现,即主动探索粗糙纹理会增加对侧感觉运动区的 alpha 波段事件相关去同步化。与最喜爱的纹理相比,对不太受欢迎的纹理的愉悦处理导致颞顶叶 beta 波段和额叶 alpha 波段事件相关去同步化增加,这表明更高阶的大脑区域参与了纹理的愉悦处理。总的来说,本研究为主动触摸过程中纹理感知的神经机制以及该过程如何受到认知任务的影响提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/10946733/f6251d478c05/EJN-58-3412-g008.jpg

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