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Neural Activity Patterns in the Human Brain Reflect Tactile Stickiness Perception

Overview of attention for article published in Frontiers in Human Neuroscience, September 2017
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Title
Neural Activity Patterns in the Human Brain Reflect Tactile Stickiness Perception
Published in
Frontiers in Human Neuroscience, September 2017
DOI 10.3389/fnhum.2017.00445
Pubmed ID
Authors

Junsuk Kim, Jiwon Yeon, Jaekyun Ryu, Jang-Yeon Park, Soon-Cheol Chung, Sung-Phil Kim

Abstract

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Student > Ph. D. Student 5 19%
Student > Bachelor 3 11%
Other 3 11%
Student > Doctoral Student 2 7%
Other 4 15%
Unknown 4 15%
Readers by discipline Count As %
Psychology 6 22%
Neuroscience 3 11%
Engineering 3 11%
Agricultural and Biological Sciences 2 7%
Biochemistry, Genetics and Molecular Biology 2 7%
Other 6 22%
Unknown 5 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 September 2017.
All research outputs
#14,362,315
of 22,999,744 outputs
Outputs from Frontiers in Human Neuroscience
#4,594
of 7,185 outputs
Outputs of similar age
#175,463
of 315,688 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#98
of 131 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,185 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,688 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.