A novel multiband multi-echo ASL sequence was employed to collect high-resolution, whole-brain simultaneous ASL/BOLD fMRI data. Four echoes were collected allowing multi-echo independent component analysis (ME-ICA) denoising to be applied to both the BOLD and ASL data. Subjects performed a finger-tapping task, and activation was compared between datasets with and without denoising. The multi-echo denoised BOLD dataset detected the most activation compared to activation calculated using the combined echoes and only the second echo. Additional activation was observed for the denoised perfusion-weighted data compared to the original perfusion-weighted data. There was also less spurious negative activation for the PWDN data.