Journal article
Exploring fMRI Data for Periodic Signal Components
In
Artificial Intelligence in Medicine
—
2002, Volume 25, Issue 1, pp. 25-44
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.
| Language: | English |
|---|---|
| Year: | 2002 |
| Pages: | 25-44 |
| ISSN: | 18732860 and 09333657 |
| Types: | Journal article |
| DOI: | 10.1016/s0933-3657(02)00007-6 |
| ORCIDs: | Hansen, Lars Kai , Nielsen, Finn Årup and Larsen, Jan |
