Exploring fMRI data for periodic signal components

Authors:
Lars Kai Hansen;Finn írup Nielsen;Jan Larsen
Affiliations:
Informatics and Mathematical Modelling, Technical University of Denmark B321, DK-2800 Lyngby, Denmark;Informatics and Mathematical Modelling, Technical University of Denmark B321, DK-2800 Lyngby, Denmark;Informatics and Mathematical Modelling, Technical University of Denmark B321, DK-2800 Lyngby, Denmark
Venue:
Artificial Intelligence in Medicine
Year:
2002

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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.