Exploring fMRI Data for Periodic Signal Components

Publication: Research - peer-reviewJournal article – Annual report year: 2002

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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.
Original languageEnglish
JournalArtificial Intelligence in Medicine
Publication date2002
Volume25
Journal number1
Pages25-44
ISSN0933-3657
StatePublished

Keywords

  • Periodic signals, Exploratory data analysis, Bayesian framework, fMRI
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