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김성필

Kim, Sung-Phil
Brain-Computer Interface Lab.
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Neural Categorization of Vibrotactile Frequency in Flutter and Vibration Stimulations: An fMRI Study

Author(s)
Kim, JunsukChung, Yoon GiChung Soon-CheolBuelthoff, Heinrich HKim, Sung-Phil
Issued Date
2016-10
DOI
10.1109/TOH.2016.2593727
URI
https://scholarworks.unist.ac.kr/handle/201301/21012
Fulltext
http://ieeexplore.ieee.org/document/7523424/
Citation
IEEE TRANSACTIONS ON HAPTICS, v.9, no.4, pp.455 - 464
Abstract
As the use of wearable haptic devices with vibrating alert features is commonplace, an understanding of the perceptual categorization of vibrotactile frequencies has become important. This understanding can be substantially enhanced by unveiling how neural activity represents vibrotactile frequency information. Using functional magnetic resonance imaging (fMRI), this study investigated categorical clustering patterns of the frequency-dependent neural activity evoked by vibrotactile stimuli with gradually changing frequencies from 20 to 200 Hz. First, a searchlight multi-voxel pattern analysis (MVPA) was used to find brain regions exhibiting neural activities associated with frequency information. We found that the contralateral postcentral gyrus (S1) and the supramarginal gyrus (SMG) carried frequency-dependent information. Next, we applied multidimensional scaling (MDS) to find low-dimensional neural representations of different frequencies obtained from the multi-voxel activity patterns within these regions. The clustering analysis on the MDS results showed that neural activity patterns of 20-100 Hz and 120-200 Hz were divided into two distinct groups. Interestingly, this neural grouping conformed to the perceptual frequency categories found in the previous behavioral studies. Our findings therefore suggest that neural activity patterns in the somatosensory cortical regions may provide a neural basis for the perceptual categorization of vibrotactile frequency.
Publisher
IEEE COMPUTER SOC
ISSN
1939-1412
Keyword (Author)
Vibrotactile frequencyneural categorizationsomatosensory cortexfunctional magnetic resonance imagingmulti-voxel pattern analysis
Keyword
SOMATOSENSORY CORTEXHUMAN BRAINMECHANORECEPTIVE AFFERENTSSTIMULIREPRESENTATIONSRESPONSESPATTERNSMONKEYSIORGANIZATION

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