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Abstract #0916

Physiologic noise correction effects on seed based spontaneous co-activation pattern analysis

Wanyong Shin1, Xiao Liu2,3, and Mark J Lowe1

1Radiology, Cleveland Clinic, Cleveland, OH, United States, 2Biomedical Engineering, Pennsylvania State University, University Park, PA, United States, 3Institute for Cyber Science, Pennsylvania State University, University Park, PA, United States

The Spontaneous co-activation (CAP) approach has shown the potential to investigate the dynamic change in resting state fMRI. However, dynamic rs-fMRI would be expected to be sensitive to physiologic fluctuation since dynamic changes of CAP pattern could be affected by the spatiotempolly correlated physiologic pulsation in the brain. We investigate the physiologic noise effects on seed-based CAP analysis in this study, and we find that the physiologic noise corrected data generates not only a different fraction and consistency of CAP patterns, but also different CAP patterns.

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