MBSreg, or the Multiband Spectral Regression, is a statistical method used in neuroimaging and other fields to analyze and model complex datasets with multiple variables. It leverages regression techniques to deal with data that have been collected across different bands or frequencies, allowing for more nuanced insights into the relationships among variables. This approach is particularly useful in studies involving functional magnetic resonance imaging (fMRI) or other high-dimensional data.