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Abstract #1276

Quantifying the effectiveness of Prospective Motion Correction using a Visual fMRI task

Pei Huang1, Nikolaus Kriegeskorte1, Richard Henson1, Arjen Alink2, and Marta Correia1

1Cognition and Brain Science Unit, MRC, Cambridge, United Kingdom, 2Department of Systems Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany

Prospective Motion Correction (PMC) using an optical tracking system has been shown to improve data quality. We conducted a study on 18 subjects using robust visual stimuli to quantify the effectiveness of PMC on task-based fMRI. Our results show that PMC improves voxel-to-voxel registration across time and leads to better contrast-to-noise ratio. This is particularly evident in analyses which are more sensitive to inaccurate voxel registration and motion-induced noise.

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