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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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