Diffusion functional-MRI (dfMRI) aims to capture microstructural changes occurring with neural activity. One of the confounding factors for dfMRI is that zero and nonzero b-values need to be acquired to deliver accurate changes in diffusivity, and those images are typically separated by at least one repetition time. Recently, Incomplete initial Nutation Diffusion Imaging (IDNI) was proposed for mapping the two images with a separation of <50ms. Here, we performed the first INDI-fMRI experiments using forepaw-stimulated rats. Functional signals are captured well both in ROI and voxel-wise analyses, enabling a more direct comparison of each signal’s time course.