Using Exploratory Structural Equation Modeling to Estimate the Functional Connectivity Networks from CBF and BOLD Signals Simultaneously Measured by ASL MRI

Jiancheng Zhuang¹, Savio Wong¹

This study proposes an approach to estimate the functional connectivity networks from CBF and BOLD signals simultaneously measured by ASL (arterial spin labeling) MRI using exploratory Structural Equation Modeling analysis. Two structural equation models were estimated at each voxel regarding to the sensory-motor network and default-mode network. The resulting connectivity maps indicate that supplementary motor area has significant connections to left/right primary motor areas, and inferior parietal lobules link significantly with posterior cingulate cortex and medial prefrontal cortex. The model fitting results imply that BOLD signal is more directly linked to the underlying cause of functional connectivity than CBF signal.