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振动强度的神经编码

Neural Coding of Vibration Intensity.

作者信息

Park Wanjoo, Kim Sung-Phil, Eid Mohamad

机构信息

Engineering Division, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.

Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea.

出版信息

Front Neurosci. 2021 Nov 11;15:682113. doi: 10.3389/fnins.2021.682113. eCollection 2021.

DOI:10.3389/fnins.2021.682113
PMID:34858124
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8631937/
Abstract

Vibrotactile feedback technology has become widely used in human-computer interaction due to its low cost, wearability, and expressiveness. Although neuroimaging studies have investigated neural processes associated with different types of vibrotactile feedback, encoding vibration intensity in the brain remains largely unknown. The aim of this study is to investigate neural processes associated with vibration intensity using electroencephalography. Twenty-nine healthy participants (aged 18-40 years, nine females) experienced vibrotactile feedback at the distal phalanx of the left index finger with three vibration intensity conditions: no vibration, low-intensity vibration (1.56 g), and high-intensity vibration (2.26 g). The alpha and beta band event-related desynchronization (ERD) as well as P2 and P3 event-related potential components for each of the three vibration intensity conditions are obtained. Results demonstrate that the ERD in the alpha band in the contralateral somatosensory and motor cortex areas is significantly associated with the vibration intensity. The average power spectral density (PSD) of the peak period of the ERD (400-600 ms) is significantly stronger for the high- and low-vibration intensity conditions compared to the no vibration condition. Furthermore, the average PSD of the ERD rebound (700-2,000 ms) is significantly maintained for the high-vibration intensity compared to low-intensity and no vibration conditions. Beta ERD signals the presence of vibration. These findings inform the development of quantitative measurements for vibration intensities based on neural signals.

摘要

由于其低成本、可穿戴性和表现力,振动触觉反馈技术已在人机交互中得到广泛应用。尽管神经影像学研究已经探究了与不同类型振动触觉反馈相关的神经过程,但大脑中对振动强度的编码在很大程度上仍不清楚。本研究的目的是使用脑电图来探究与振动强度相关的神经过程。29名健康参与者(年龄在18至40岁之间,9名女性)在左手食指远端指骨处体验了三种振动强度条件下的振动触觉反馈:无振动、低强度振动(1.56克)和高强度振动(2.26克)。获得了三种振动强度条件下的α和β波段事件相关去同步化(ERD)以及P2和P3事件相关电位成分。结果表明,对侧体感和运动皮层区域中α波段的ERD与振动强度显著相关。与无振动条件相比,高振动强度和低振动强度条件下ERD峰值期(400 - 600毫秒)的平均功率谱密度(PSD)明显更强。此外,与低强度和无振动条件相比,高振动强度下ERD反弹期(700 - 2000毫秒)的平均PSD显著维持。β ERD表明存在振动。这些发现为基于神经信号的振动强度定量测量的发展提供了信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f719/8631937/97073cfd5e3f/fnins-15-682113-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f719/8631937/62ef6f539043/fnins-15-682113-g0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f719/8631937/9ef046276985/fnins-15-682113-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f719/8631937/ead5c2877903/fnins-15-682113-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f719/8631937/97073cfd5e3f/fnins-15-682113-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f719/8631937/62ef6f539043/fnins-15-682113-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f719/8631937/0bd11fb41086/fnins-15-682113-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f719/8631937/9e9542d0051a/fnins-15-682113-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f719/8631937/d77a9d0171fe/fnins-15-682113-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f719/8631937/3c41ec49fac0/fnins-15-682113-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f719/8631937/ba9f0f60c7c7/fnins-15-682113-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f719/8631937/9ef046276985/fnins-15-682113-g0007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f719/8631937/97073cfd5e3f/fnins-15-682113-g0009.jpg

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