Detection of Simulated Tactile Gratings by Electro-Static Friction Show a Dependency on Bar Width for Blind and Sighted Observers, and Preliminary Neural Correlates in Sighted Observers

The three-dimensional micro-structure of physical surfaces produces frictional forces that provide sensory cues about properties of felt surfaces such as roughness. This tactile information activates somatosensory cortices, and frontal and temporal brain regions. Recent advances in haptic-feedback t...

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Main Authors: Quoc C. Vuong, Aya M. Shaaban, Carla Black, Jess Smith, Mahmoud Nassar, Ahmed Abozied, Patrick Degenaar, Walid Al-Atabany
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.548030/full
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author Quoc C. Vuong
Aya M. Shaaban
Carla Black
Jess Smith
Mahmoud Nassar
Mahmoud Nassar
Ahmed Abozied
Patrick Degenaar
Walid Al-Atabany
author_facet Quoc C. Vuong
Aya M. Shaaban
Carla Black
Jess Smith
Mahmoud Nassar
Mahmoud Nassar
Ahmed Abozied
Patrick Degenaar
Walid Al-Atabany
author_sort Quoc C. Vuong
collection DOAJ
description The three-dimensional micro-structure of physical surfaces produces frictional forces that provide sensory cues about properties of felt surfaces such as roughness. This tactile information activates somatosensory cortices, and frontal and temporal brain regions. Recent advances in haptic-feedback technologies allow the simulation of surface micro-structures via electro-static friction to produce touch sensations on otherwise flat screens. These sensations may benefit those with visual impairment or blindness. The primary aim of the current study was to test blind and sighted participants’ perceptual sensitivity to simulated tactile gratings. A secondary aim was to explore which brain regions were involved in simulated touch to further understand the somatosensory brain network for touch. We used a haptic-feedback touchscreen which simulated tactile gratings using digitally manipulated electro-static friction. In Experiment 1, we compared blind and sighted participants’ ability to detect the gratings by touch alone as a function of their spatial frequency (bar width) and intensity. Both blind and sighted participants showed high sensitivity to detect simulated tactile gratings, and their tactile sensitivity functions showed both linear and quadratic dependency on spatial frequency. In Experiment 2, using functional magnetic resonance imaging, we conducted a preliminary investigation to explore whether brain activation to physical vibrations correlated with blindfolded (but sighted) participants’ performance with simulated tactile gratings outside the scanner. At the neural level, blindfolded (but sighted) participants’ detection performance correlated with brain activation in bi-lateral supplementary motor cortex, left frontal cortex and right occipital cortex. Taken together with previous studies, these results suggest that there are similar perceptual and neural mechanisms for real and simulated touch sensations.
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spelling doaj.art-c78bf09488b349389005e1a107b2af032022-12-22T00:01:38ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2020-10-011410.3389/fnins.2020.548030548030Detection of Simulated Tactile Gratings by Electro-Static Friction Show a Dependency on Bar Width for Blind and Sighted Observers, and Preliminary Neural Correlates in Sighted ObserversQuoc C. Vuong0Aya M. Shaaban1Carla Black2Jess Smith3Mahmoud Nassar4Mahmoud Nassar5Ahmed Abozied6Patrick Degenaar7Walid Al-Atabany8Biosciences Institute, Newcastle University, Newcastle upon Tyne, United KingdomBiomedical Engineering Department, Faculty of Engineering, Helwan University, Helwan, EgyptBiosciences Institute, Newcastle University, Newcastle upon Tyne, United KingdomBiosciences Institute, Newcastle University, Newcastle upon Tyne, United KingdomNewcastle Eye Centre, Royal Victoria Infirmary, Newcastle upon Tyne, United KingdomFaculty of Medicine, Minia University Hospital, Al Minia, EgyptElectronics and Communications Department, Faculty of Engineering, Cairo University, Giza, EgyptSchool of Engineering, Newcastle University, Merz Court, Newcastle upon Tyne, United KingdomBiomedical Engineering Department, Faculty of Engineering, Helwan University, Helwan, EgyptThe three-dimensional micro-structure of physical surfaces produces frictional forces that provide sensory cues about properties of felt surfaces such as roughness. This tactile information activates somatosensory cortices, and frontal and temporal brain regions. Recent advances in haptic-feedback technologies allow the simulation of surface micro-structures via electro-static friction to produce touch sensations on otherwise flat screens. These sensations may benefit those with visual impairment or blindness. The primary aim of the current study was to test blind and sighted participants’ perceptual sensitivity to simulated tactile gratings. A secondary aim was to explore which brain regions were involved in simulated touch to further understand the somatosensory brain network for touch. We used a haptic-feedback touchscreen which simulated tactile gratings using digitally manipulated electro-static friction. In Experiment 1, we compared blind and sighted participants’ ability to detect the gratings by touch alone as a function of their spatial frequency (bar width) and intensity. Both blind and sighted participants showed high sensitivity to detect simulated tactile gratings, and their tactile sensitivity functions showed both linear and quadratic dependency on spatial frequency. In Experiment 2, using functional magnetic resonance imaging, we conducted a preliminary investigation to explore whether brain activation to physical vibrations correlated with blindfolded (but sighted) participants’ performance with simulated tactile gratings outside the scanner. At the neural level, blindfolded (but sighted) participants’ detection performance correlated with brain activation in bi-lateral supplementary motor cortex, left frontal cortex and right occipital cortex. Taken together with previous studies, these results suggest that there are similar perceptual and neural mechanisms for real and simulated touch sensations.https://www.frontiersin.org/article/10.3389/fnins.2020.548030/fulltactile perceptionblind and sighted participantshaptic-feedback technologyfMRIsomatosensory brain network
spellingShingle Quoc C. Vuong
Aya M. Shaaban
Carla Black
Jess Smith
Mahmoud Nassar
Mahmoud Nassar
Ahmed Abozied
Patrick Degenaar
Walid Al-Atabany
Detection of Simulated Tactile Gratings by Electro-Static Friction Show a Dependency on Bar Width for Blind and Sighted Observers, and Preliminary Neural Correlates in Sighted Observers
Frontiers in Neuroscience
tactile perception
blind and sighted participants
haptic-feedback technology
fMRI
somatosensory brain network
title Detection of Simulated Tactile Gratings by Electro-Static Friction Show a Dependency on Bar Width for Blind and Sighted Observers, and Preliminary Neural Correlates in Sighted Observers
title_full Detection of Simulated Tactile Gratings by Electro-Static Friction Show a Dependency on Bar Width for Blind and Sighted Observers, and Preliminary Neural Correlates in Sighted Observers
title_fullStr Detection of Simulated Tactile Gratings by Electro-Static Friction Show a Dependency on Bar Width for Blind and Sighted Observers, and Preliminary Neural Correlates in Sighted Observers
title_full_unstemmed Detection of Simulated Tactile Gratings by Electro-Static Friction Show a Dependency on Bar Width for Blind and Sighted Observers, and Preliminary Neural Correlates in Sighted Observers
title_short Detection of Simulated Tactile Gratings by Electro-Static Friction Show a Dependency on Bar Width for Blind and Sighted Observers, and Preliminary Neural Correlates in Sighted Observers
title_sort detection of simulated tactile gratings by electro static friction show a dependency on bar width for blind and sighted observers and preliminary neural correlates in sighted observers
topic tactile perception
blind and sighted participants
haptic-feedback technology
fMRI
somatosensory brain network
url https://www.frontiersin.org/article/10.3389/fnins.2020.548030/full
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