Meeting Banner
Abstract #2820

A Geometric View of Global Signal Confounds in Resting-State FMRI

Thomas Liu1, Hongjian He2

1UCSD Center for Functional MRI, La Jolla, CA, United States; 2Bio-X Laboratory, Zhejiang University, Hangzhou, China

In resting-state functional connectivity MRI (fcMRI), the presence of global signal confounds lead to variability in connectivity maps. A number of global signal correction methods have been proposed, but have their limitations. Here we demonstrate that a portion of the global signal can be viewed as an additive confound that increases with the mean BOLD amplitude. An approach for minimizing the contribution of this additive confound is presented, and an initial comparison with existing global signal correction methods is provided.

Keywords

absence addition additive amplitude amplitudes angular approaches approximate around arrow arrows axis become becomes best bias blood bold bottom brain causing characterizing china clear clustered collection color component components computation confound confounds connectivity consensus consider contribution coordinate correction correlation cortex currently decrease decreases define degrees denotes dependent differentiate distributed distribution dominated dotted equally essentially even examining existing explain framework functional geometric global green grow hand homogeneous ideally independent indicated individual introduce laboratory lack larger length lengths magnitude maps match measures median metric minimizing minute model modeled modified negative neuron note often outperforming overall oxygenation people portion post posterior presence primary principal prior produce producing proposed reduce reduces reduction regression relation republic respectively resting scenarios sector seed separate series simple smaller space spread strong structure subjects supporting system target theory though tightly useful variability variety various vector vectors vertical view viewed visualizing white