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Abstract #3890

Dynamic Missing-data Completion Removes Additional Effect of Motion Contamination Caused by Temporal Filtering during fMRI Preprocessing

Seyhmus Guler1, Burak Erem2, Onur Afacan1, Alexander L. Cohen1, and Simon K. Warfield1
1Boston Children's Hospital and Harvard Medical School, Boston, MA, United States, 2TrueMotion, Inc., Boston, MA, United States

Subject movement during fMRI acquisition creates motion artifact. “Scrubbing” removes motion-corrupted volumes and is performed after temporal filtering since it creates temporal discontinuities. Thus, it does not prevent the spread of corrupted time samples from high motion volumes to their neighbors during temporal filtering. To mitigate this “leakage”, we propose a novel method, Dynamic Missing-data Completion (DMC), that replaces motion corrupted volumes with synthetic data matching the temporal dynamics of the uncorrupted no-motion volumes. We analyzed six rsfMRI scans with different motion levels and found that DMC provides added benefit in further reduction of motion contamination that remains after scrubbing.

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