The MP-PCA denoising approach is an objective way to reduce fluctuations caused by thermal noise. In rodents, thermal noise in the coils is an important fMRI confounder that can reduce the accuracy of activation mapping. Here, we develop the MP-PCA denoising scheme for rodent fMRI. Data was obtained from 3 mice using conventional multislice and ultrafast acquisitions (1s and 50ms temporal resolution, respectively), during visual stimulation. MP-PCA denoising generated strong Fourier spectral amplitude increases in BOLD maps of 20% and 85% and tSNR increases of 100% and 275% for multislice and ultrafast data, respectively.
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