Deep brain stimulation (DBS) is widely used to treat several disorders. Given its minimal sensitivity to electrode-induced artifacts, fMRI with Multi-Band Sweep Imaging with Fourier Transformation (MB-SWIFT) is a powerful tool for identifying the DBS mechanism of action at a network level. However, MB-SWIFT generally suffers from low time resolution, thus limiting the characterization of temporal features. Here, we introduce a novel resampling approach applicable to radial k-space sampling such as used in MB-SWIFT, allowing to track repeating events with 200-ms time resolution. A proof of concept was demonstrated during DBS of the medial septal nucleus in rats.