Evaluation of Cyclic and Global Retrospective Corrections of Physiological Signals on Activated FMRI

Arsne Longin Ella¹, Jochen Rick¹, Jrgen Hennig¹

The cyclic retrospective correction of physiological signals, introduced along with Fourier and polynomial fit methods, was shown to be an alternative to RETROICOR (global method). In this study, we evaluated and compared different approaches of physiological signal correction on activated fMRI data acquired at different TR. The results showed: i) an increase in the number of activated voxels for all correction methods ii) no significant difference between global corrections performed using histogram and linear respiratory phases, either with Fourier or polynomial iii) a significant increase of the number of activated voxels after correction with cyclic methods compared to global methods.