Neural Activity Patterns in the Human Brain Reflect Tactile Stickiness Perception

Our previous human fMRI study found brain activations correlated with tactile stickiness perception using the uni-variate general linear model (GLM) (Yeon et al., 2017). Here, we conducted an in-depth investigation on neural correlates of sticky sensations by employing a multivoxel pattern analysis...

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Main Authors: Junsuk Kim, Jiwon Yeon, Jaekyun Ryu, Jang-Yeon Park, Soon-Cheol Chung, Sung-Phil Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-09-01
Series:Frontiers in Human Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fnhum.2017.00445/full
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spelling doaj-1e46760e02bd4b8a8a5c9e6dae412a362020-11-25T02:04:49ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612017-09-011110.3389/fnhum.2017.00445265669Neural Activity Patterns in the Human Brain Reflect Tactile Stickiness PerceptionJunsuk Kim0Junsuk Kim1Jiwon Yeon2Jaekyun Ryu3Jaekyun Ryu4Jang-Yeon Park5Jang-Yeon Park6Soon-Cheol Chung7Sung-Phil Kim8Department of Human Perception, Cognition and Action, Max Planck Institute for Biological CyberneticsTübingen, GermanyDepartment of Brain and Cognitive Engineering, Korea UniversitySeoul, South KoreaSchool of Psychology, Georgia Institute of TechnologyAtlanta, GA, United StatesCenter for Neuroscience Imaging Research, Institute for Basic ScienceSuwon, South KoreaDepartment of Biomedical Engineering, Sungkyunkwan UniversitySuwon, South KoreaCenter for Neuroscience Imaging Research, Institute for Basic ScienceSuwon, South KoreaDepartment of Biomedical Engineering, Sungkyunkwan UniversitySuwon, South KoreaSchool of Biomedical Engineering, Konkuk UniversityChungju, South KoreaDepartment of Human Factors Engineering, Ulsan National Institute of Science and TechnologyUlsan, South KoreaOur previous human fMRI study found brain activations correlated with tactile stickiness perception using the uni-variate general linear model (GLM) (Yeon et al., 2017). Here, we conducted an in-depth investigation on neural correlates of sticky sensations by employing a multivoxel pattern analysis (MVPA) on the same dataset. In particular, we statistically compared multi-variate neural activities in response to the three groups of sticky stimuli: A supra-threshold group including a set of sticky stimuli that evoked vivid sticky perception; an infra-threshold group including another set of sticky stimuli that barely evoked sticky perception; and a sham group including acrylic stimuli with no physically sticky property. Searchlight MVPAs were performed to search for local activity patterns carrying neural information of stickiness perception. Similar to the uni-variate GLM results, significant multi-variate neural activity patterns were identified in postcentral gyrus, subcortical (basal ganglia and thalamus), and insula areas (insula and adjacent areas). Moreover, MVPAs revealed that activity patterns in posterior parietal cortex discriminated the perceptual intensities of stickiness, which was not present in the uni-variate analysis. Next, we applied a principal component analysis (PCA) to the voxel response patterns within identified clusters so as to find low-dimensional neural representations of stickiness intensities. Follow-up clustering analyses clearly showed separate neural grouping configurations between the Supra- and Infra-threshold groups. Interestingly, this neural categorization was in line with the perceptual grouping pattern obtained from the psychophysical data. Our findings thus suggest that different stickiness intensities would elicit distinct neural activity patterns in the human brain and may provide a neural basis for the perception and categorization of tactile stickiness.http://journal.frontiersin.org/article/10.3389/fnhum.2017.00445/fullfMRIMVPAtactile stickinessneural correlatescategorizationperception
collection DOAJ
language English
format Article
sources DOAJ
author Junsuk Kim
Junsuk Kim
Jiwon Yeon
Jaekyun Ryu
Jaekyun Ryu
Jang-Yeon Park
Jang-Yeon Park
Soon-Cheol Chung
Sung-Phil Kim
spellingShingle Junsuk Kim
Junsuk Kim
Jiwon Yeon
Jaekyun Ryu
Jaekyun Ryu
Jang-Yeon Park
Jang-Yeon Park
Soon-Cheol Chung
Sung-Phil Kim
Neural Activity Patterns in the Human Brain Reflect Tactile Stickiness Perception
Frontiers in Human Neuroscience
fMRI
MVPA
tactile stickiness
neural correlates
categorization
perception
author_facet Junsuk Kim
Junsuk Kim
Jiwon Yeon
Jaekyun Ryu
Jaekyun Ryu
Jang-Yeon Park
Jang-Yeon Park
Soon-Cheol Chung
Sung-Phil Kim
author_sort Junsuk Kim
title Neural Activity Patterns in the Human Brain Reflect Tactile Stickiness Perception
title_short Neural Activity Patterns in the Human Brain Reflect Tactile Stickiness Perception
title_full Neural Activity Patterns in the Human Brain Reflect Tactile Stickiness Perception
title_fullStr Neural Activity Patterns in the Human Brain Reflect Tactile Stickiness Perception
title_full_unstemmed Neural Activity Patterns in the Human Brain Reflect Tactile Stickiness Perception
title_sort neural activity patterns in the human brain reflect tactile stickiness perception
publisher Frontiers Media S.A.
series Frontiers in Human Neuroscience
issn 1662-5161
publishDate 2017-09-01
description Our previous human fMRI study found brain activations correlated with tactile stickiness perception using the uni-variate general linear model (GLM) (Yeon et al., 2017). Here, we conducted an in-depth investigation on neural correlates of sticky sensations by employing a multivoxel pattern analysis (MVPA) on the same dataset. In particular, we statistically compared multi-variate neural activities in response to the three groups of sticky stimuli: A supra-threshold group including a set of sticky stimuli that evoked vivid sticky perception; an infra-threshold group including another set of sticky stimuli that barely evoked sticky perception; and a sham group including acrylic stimuli with no physically sticky property. Searchlight MVPAs were performed to search for local activity patterns carrying neural information of stickiness perception. Similar to the uni-variate GLM results, significant multi-variate neural activity patterns were identified in postcentral gyrus, subcortical (basal ganglia and thalamus), and insula areas (insula and adjacent areas). Moreover, MVPAs revealed that activity patterns in posterior parietal cortex discriminated the perceptual intensities of stickiness, which was not present in the uni-variate analysis. Next, we applied a principal component analysis (PCA) to the voxel response patterns within identified clusters so as to find low-dimensional neural representations of stickiness intensities. Follow-up clustering analyses clearly showed separate neural grouping configurations between the Supra- and Infra-threshold groups. Interestingly, this neural categorization was in line with the perceptual grouping pattern obtained from the psychophysical data. Our findings thus suggest that different stickiness intensities would elicit distinct neural activity patterns in the human brain and may provide a neural basis for the perception and categorization of tactile stickiness.
topic fMRI
MVPA
tactile stickiness
neural correlates
categorization
perception
url http://journal.frontiersin.org/article/10.3389/fnhum.2017.00445/full
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