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Abstract #2876

Quality Assurance of physiologic signal measures in HCP resting state fMRI data

Wanyong Shin1 and Mark J Lowe1

1Radilogy, Cleveland Clinic, Cleveland, OH, United States

Recently, a physiological log file timing error with fMRI acquisition was fixed and physiologic data with corrected timing was uploaded to the WU-MINN human connectome project (HCP) cloud. While HCP preprocessing pipeline for resting state (rs-) and fMRI has been proposed, the physiologic noise correction sub-pipeline has not been established yet and the physiologic noise data has had less attention in HCP community. In this study, we investigate the quality of HCP physiologic data and propose a standard physiological noise quality assurance.

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