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Neural Coding of Vibration Intensity

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 b...

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Autores principales: Park, Wanjoo, Kim, Sung-Phil, Eid, Mohamad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8631937/
https://www.ncbi.nlm.nih.gov/pubmed/34858124
http://dx.doi.org/10.3389/fnins.2021.682113
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author Park, Wanjoo
Kim, Sung-Phil
Eid, Mohamad
author_facet Park, Wanjoo
Kim, Sung-Phil
Eid, Mohamad
author_sort Park, Wanjoo
collection PubMed
description 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.
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spelling pubmed-86319372021-12-01 Neural Coding of Vibration Intensity Park, Wanjoo Kim, Sung-Phil Eid, Mohamad Front Neurosci Neuroscience 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. Frontiers Media S.A. 2021-11-11 /pmc/articles/PMC8631937/ /pubmed/34858124 http://dx.doi.org/10.3389/fnins.2021.682113 Text en Copyright © 2021 Park, Kim and Eid. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Park, Wanjoo
Kim, Sung-Phil
Eid, Mohamad
Neural Coding of Vibration Intensity
title Neural Coding of Vibration Intensity
title_full Neural Coding of Vibration Intensity
title_fullStr Neural Coding of Vibration Intensity
title_full_unstemmed Neural Coding of Vibration Intensity
title_short Neural Coding of Vibration Intensity
title_sort neural coding of vibration intensity
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8631937/
https://www.ncbi.nlm.nih.gov/pubmed/34858124
http://dx.doi.org/10.3389/fnins.2021.682113
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