Exploring fMRI Data for Periodic Signal Components

Lars Kai Hansen, Finn Årup Nielsen, Jan Larsen

AbstractWe 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.
KeywordsExploratory data analysis; fMRI; Periodic signals; Bayesian framework
TypeJournal paper [With referee]
JournalArtificial Intelligence in Medicine
Year2002    Vol. 25    pp. 25-44
Publication linkhttp://www.sciencedirect.com/science/article/B6T4K-45CW4S6-1/1/7b79ff5e10d99391d81c848353744906
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing

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