Estimation of single-trial fMRI BOLD responses using combined EEG and fMRI measurements

In this paper, we present a method for modeling human brain response using combined fMRI and EEG measurements. A subspace is formed using the eigenvectors of data correlation matrix of augmented measurements. This subspace is then used for regularization of the fitting of parametric model to fMRI BOLD signal. The approach is utilized for single-trial estimation of blood oxygenation level dependent (BOLD) responses in fMRI time series.