A multi-voxel pattern analysis of neural representation of vibrotactile location

Junsuk Kim, Yoon Gi Chung, Soon Cheol Chung, Jang Yeon Park, Heinrich Bulthoff, Sung Phil Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Previous neural decoding studies have mainly focused on discrimination of activation patterns evoked by active movements. Nonetheless, comparatively, little attention has been devoted toward understanding how brain signals are observed with passive stimulus. In this study, we examined whether the stimulus locations on between fingers, one of the most fundamental features of passive vibrotactile stimulation, can be distinguished from human functional magnetic resonance imaging (fMRI) data. Whole brain searchlight multi-voxel pattern analysis (MVPA) has found two brain regions, which make a contribution to decode stimulus sites, in contralateral posterior parietal cortex (PPC) and contralateral secondary somatosensory cortex (S2). No significant area for the decoding of activity to stimulus site in primary somatosensory cortex (S1), which is well-developed brain region for finger somatotopy. On the other hand, a whole brain univariate group analysis has discovered activity in S1, not in PPC and S2 areas. These results suggest that PPC and S2 regions play a key role in the differentiation of passive vibrotactile stimulus locations, and thus decode tactile events from finger somatotopic.

Original languageEnglish
Title of host publicationInternational Conference on Control, Automation and Systems
Pages1637-1640
Number of pages4
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 13th International Conference on Control, Automation and Systems, ICCAS 2013 - Gwangju, Korea, Republic of
Duration: 2013 Oct 202013 Oct 23

Other

Other2013 13th International Conference on Control, Automation and Systems, ICCAS 2013
CountryKorea, Republic of
CityGwangju
Period13/10/2013/10/23

Fingerprint

Brain
Decoding
Searchlights
Chemical activation

Keywords

  • decoding
  • functional magnetic resonance imaging (fMRI)
  • multi-voxel pattern analysis (MVPA)
  • searchlight analysis
  • Stimulus location

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Kim, J., Chung, Y. G., Chung, S. C., Park, J. Y., Bulthoff, H., & Kim, S. P. (2013). A multi-voxel pattern analysis of neural representation of vibrotactile location. In International Conference on Control, Automation and Systems (pp. 1637-1640). [6704194] https://doi.org/10.1109/ICCAS.2013.6704194

A multi-voxel pattern analysis of neural representation of vibrotactile location. / Kim, Junsuk; Chung, Yoon Gi; Chung, Soon Cheol; Park, Jang Yeon; Bulthoff, Heinrich; Kim, Sung Phil.

International Conference on Control, Automation and Systems. 2013. p. 1637-1640 6704194.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kim, J, Chung, YG, Chung, SC, Park, JY, Bulthoff, H & Kim, SP 2013, A multi-voxel pattern analysis of neural representation of vibrotactile location. in International Conference on Control, Automation and Systems., 6704194, pp. 1637-1640, 2013 13th International Conference on Control, Automation and Systems, ICCAS 2013, Gwangju, Korea, Republic of, 13/10/20. https://doi.org/10.1109/ICCAS.2013.6704194
Kim J, Chung YG, Chung SC, Park JY, Bulthoff H, Kim SP. A multi-voxel pattern analysis of neural representation of vibrotactile location. In International Conference on Control, Automation and Systems. 2013. p. 1637-1640. 6704194 https://doi.org/10.1109/ICCAS.2013.6704194
Kim, Junsuk ; Chung, Yoon Gi ; Chung, Soon Cheol ; Park, Jang Yeon ; Bulthoff, Heinrich ; Kim, Sung Phil. / A multi-voxel pattern analysis of neural representation of vibrotactile location. International Conference on Control, Automation and Systems. 2013. pp. 1637-1640
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