Investigation of smoking related features in spatio-spectral domain on resting-state fMRI data using nonnegative matrix factorization

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

1 Citation (Scopus)

Abstract

Smoking is a typical exemplar in drug addiction researches for the wide range of tobacco users. The presented study uses functional magnetic resonance imaging (fMRI) to explore the resting-state (RS) neural mechanisms associated with smoking deprivation. We propose a novel analysis approach which applies nonnegative matrix factorization (NMF) algorithm on spatially concatenated two group datasets to investigate smoking related RS features in spatio-spectral domain. The NMF algorithm decomposed the magnitude spectra of fMRI time series into distinct frequency-specific basis functions and corresponding nonnegative spatial maps. After a two sample T-test on the z-scored spatial maps between groups, representative feature regions such as insula, anterior cingulate cortex and precuneus were found to be associated with smoking. These regions were consistent with that revealed by previous literatures studying in spatio-temporal domain. It indicates that our proposed analysis method provides another option for exploring neural mechanism differences between two groups, which might be used in a range of applications.

Original languageEnglish
Title of host publicationConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Pages571-574
Number of pages4
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 - Seoul, Korea, Republic of
Duration: 2012 Oct 142012 Oct 17

Other

Other2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
CountryKorea, Republic of
CitySeoul
Period12/10/1412/10/17

Fingerprint

Factorization
Tobacco
Time series
Magnetic Resonance Imaging

Keywords

  • nonnegative matrix factorization
  • resting-state
  • smoking addiction

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

Cite this

Ding, X., Lee, J-H., & Lee, S. W. (2012). Investigation of smoking related features in spatio-spectral domain on resting-state fMRI data using nonnegative matrix factorization. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics (pp. 571-574). [6377786] https://doi.org/10.1109/ICSMC.2012.6377786

Investigation of smoking related features in spatio-spectral domain on resting-state fMRI data using nonnegative matrix factorization. / Ding, Xiaoyu; Lee, Jong-Hwan; Lee, Seong Whan.

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 2012. p. 571-574 6377786.

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

Ding, X, Lee, J-H & Lee, SW 2012, Investigation of smoking related features in spatio-spectral domain on resting-state fMRI data using nonnegative matrix factorization. in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics., 6377786, pp. 571-574, 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012, Seoul, Korea, Republic of, 12/10/14. https://doi.org/10.1109/ICSMC.2012.6377786
Ding, Xiaoyu ; Lee, Jong-Hwan ; Lee, Seong Whan. / Investigation of smoking related features in spatio-spectral domain on resting-state fMRI data using nonnegative matrix factorization. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 2012. pp. 571-574
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