Abstract #3905

NOise Reduction with Distribution Corrected (NORDIC) PCA improves signal-to-noise and functional connectivity in rodent resting-state fMRI

Sarah Y. Wu¹, Russell W. Chan^1,2, Yixi Xue¹, Emily L. Tse¹, Giles Hamilton-Fletcher¹, Steen Moeller³, and Kevin C. Chan^1,4

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

Synopsis

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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