A Bootstrap Method For Removing Aliased Cardiac and Respiratory Effects in Volumetric Resting State Connectivity Data
Lowe M, Sakaie K
Cleveland Clinic Foundation
Resting state connectivity studies have become increasingly present in the functional neuroimaging literature. It is desireable to acquire volumetric data when assessing functional connectivity in the brain. Aliased cardiac and respiratory fluctuations in volumetric BOLD-weighted data can significantly reduce the specificity of the connectivity effect. A method is proposed to use the large vessel MRI signal present in the data as an estimator of these effects in combination with RETROICOR to remove them.