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Abstract #1783

Spatially selective physiological noise suppression for high frequency resting state fMRI

Khaled Talaat1, Bruno Sa De La Rocque Guimaraes2, and Stefan Posse2
1Nuclear Engineering, University of New Mexico, Albuquerque, NM, United States, 2Neurology, University of New Mexico, Albuquerque, NM, United States

Assessing the extent of high frequency resting state connectivity (> 0.15 Hz) across different brain networks has been hampered by the presence of physiological noise. Much of the high frequency information is lost when global filters are applied to stop respiratory and cardiac frequency bands. A spatially selective automated filtering method is developed in order to preserve high frequency signal information in regions where physiological contamination is weak. Preliminary results show significant reduction in artifactual correlations compared to unfiltered data.

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