• DocumentCode
    2113554
  • Title

    Multivariate spectral analysis for identifying the brain activations during olfactory perception

  • Author

    Kroupi, Eleni ; Yazdani, Amirnaser ; Vesin, Jean-Marc ; Ebrahimi, Touradj

  • Author_Institution
    Multimedia Signal Process. Group (MMSPG), Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    6172
  • Lastpage
    6175
  • Abstract
    Olfactory perception is a complex phenomenon associated with other processes such as cognition and emotion. Due to this complexity, there are still open issues and challenges regarding olfactory psychophysiology. One challenge concerns the investigation of the hedonic dimension of olfaction, and how it affects the power of the brain oscillations. Although there are some EEG studies exploring the changes in the power of the brain oscillations during olfactory perception, they use simple power spectral analysis techniques and vary much in terms of the reported findings. To reduce this variability, we propose the use of multivariate spectral analysis, to reveal only the frequency patterns of the EEG signals that contribute the most to olfactory perception. The goal is to investigate how these frequency patterns are affected by hedonically different odors throughout the cortex.
  • Keywords
    chemioception; cognition; electroencephalography; medical signal processing; psychology; spectral analysis; EEG signals; brain activations; brain oscillations; cognition; cortex; emotion; frequency patterns; hedonic dimension; hedonically different odors; multivariate spectral analysis; olfactory perception; olfactory psychophysiology; power spectral analysis techniques; Electrodes; Electroencephalography; Humans; Kernel; Olfactory; Silicon; Spectral analysis; Adult; Brain; Electroencephalography; Humans; Male; Multivariate Analysis; Smell;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6347403
  • Filename
    6347403