Abstract #1222

Novel resampling approach for 200-ms temporal resolution MB-SWIFT fMRI – application to DBS in rats

Ekaterina Zhurakovskaya¹, Lauri Lehto¹, Jaakko Paasonen¹, Lin Wu², Sheng Sang², Jun Ma², Hanne Laakso¹, Tiina Pirttimäki¹, Olli Gröhn¹, Silvia Mangia², and Shalom Michaeli²

¹University of Eastern Finland, Kuopio, Finland, ²Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States

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.

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