Keywords: Motion Correction, ArtifactsThe fMRI signal has been very noisy for artifacts induced various reasons, and yet the head motion and non-neuronal contributions are always the most tickle one. And too severe of motion corruption usually will lead to abandonment of the participant’s data. In this study, proposed method manages to effectively control these noises meanwhile without losing valuable signals. Proposed method exceeds standard pipeline in both quantitative and qualitative metrics.
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