Here, we present a novel approach of utilizing Boundary-Based Registration for realigning submillimetre 7T fMRI time series. We collected fMRI data from 6 human participants and processed the data using either standard rigid body realignment using SPM or our BBR realignment method. We compared the two pre-processed datasets with multiple metrics (tSNR, fCNR and percentage of variance explained by the model) and show that realigning using BBR consistently outperforms conventional methods.
This abstract and the presentation materials are available to members only; a login is required.