NOise Reduction with Distribution Corrected (NORDIC) PCA improves signal-to-noise and functional connectivity in rodent resting-state fMRI
Sarah Y. Wu1, Russell W. Chan1,2, Yixi Xue1, Emily L. Tse1, Giles Hamilton-Fletcher1, Steen Moeller3, and Kevin C. Chan1,4
1Department of Ophthalmology, New York University Grossman School of Medicine, New York, NY, United States, 2Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, United States, 3Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, United States, 4Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States
The relatively poor temporal signal-to-noise ratio (tSNR) in resting-state fMRI (rsfMRI) serves to be a pressing area of improvement. NOise Reduction with Distributed Corrected (NORDIC) PCA can effectively increase tSNR. However, it has yet to be examined in rodent rsfMRI studies. Here, we applied NORDIC-correction to mouse rsfMRI, and evaluated the tSNR and functional connectivity against standard preprocessing data. NORDIC was able to significantly increase tSNR and reduce functional connectivity variability. NORDIC can also denoise rsfMRI signals at higher frequencies. Taken together, NORDIC can potentially become an important preprocessing step in future rodent rsfMRI studies.
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