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: Wanjoo Park, Sung-Phil Kim, Mohamad Eid
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/a33bf7ff060d4d50b2929906172e8971
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spelling oai:doaj.org-article:a33bf7ff060d4d50b2929906172e89712021-11-11T06:20:16ZNeural Coding of Vibration Intensity1662-453X10.3389/fnins.2021.682113https://doaj.org/article/a33bf7ff060d4d50b2929906172e89712021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnins.2021.682113/fullhttps://doaj.org/toc/1662-453XVibrotactile 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.Wanjoo ParkSung-Phil KimMohamad EidFrontiers Media S.A.articlehapticsneural signal processingvibrationsensationalpha ERDNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENFrontiers in Neuroscience, Vol 15 (2021)
institution DOAJ
collection DOAJ
language EN
topic haptics
neural signal processing
vibration
sensation
alpha ERD
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
spellingShingle haptics
neural signal processing
vibration
sensation
alpha ERD
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Wanjoo Park
Sung-Phil Kim
Mohamad Eid
Neural Coding of Vibration Intensity
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.
format article
author Wanjoo Park
Sung-Phil Kim
Mohamad Eid
author_facet Wanjoo Park
Sung-Phil Kim
Mohamad Eid
author_sort Wanjoo Park
title Neural Coding of Vibration Intensity
title_short 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_sort neural coding of vibration intensity
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/a33bf7ff060d4d50b2929906172e8971
work_keys_str_mv AT wanjoopark neuralcodingofvibrationintensity
AT sungphilkim neuralcodingofvibrationintensity
AT mohamadeid neuralcodingofvibrationintensity
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