@ARTICLE\{IMM2002-0616,
    author       = "L. K. Hansen and F. {\AA}. Nielsen and J. Larsen",
    title        = "Exploring fMRI Data for Periodic Signal Components",
    year         = "2002",
    keywords     = "Exploratory data analysis; fMRI; Periodic signals; Bayesian framework",
    pages        = "25-44",
    journal      = "Artificial Intelligence in Medicine",
    volume       = "25",
    editor       = "",
    number       = "",
    publisher    = "",
    url          = "http://www.sciencedirect.com/science/article/B6T4K-45CW4S6-1/1/7b79ff5e10d99391d81c848353744906",
    abstract     = "We use a Bayesian framework to detect periodic components in fMRI data. The resulting detector is sensitive to periodic components with a flexible number of harmonics and with arbitrary amplitude and phases of the harmonics. It is possible to detect the correct number of harmonics in periodic signals even if the fundamental frequency is beyond the Nyquist frequency. We apply the signal detector to locate regions that are highly affected by periodic physiological artifacts, such as cardiac pulsation."
}