A lag structure in the fMRI signal, created by a combination of the low-frequency oscillation and perfusion delay, has been suggested as being a noise component, but its removal has not been established as a denoising approach. Using an HCP task-fMRI dataset, we report that the removal of this lag structure, or deperfusioning, has a unique effect on fMRI group analysis both qualitatively and quantitatively. Increased sensitivity of the treatment in some condition was emphasized by switching from volume- to surface-based analysis, suggesting concomitant improvement of specificity. Unfavorable effect was also suggested depending on the task condition, warranting further investigation.
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