Figure 1.

Integration of EEG and fMRI with cross multivariate correlation coefficients. (1) EEG and fMRI are recorded simultaneously (2) Artifact handling and preprocessing for EEG and fMRI separately 3. Fusion of EEG and BOLD time series: a) EEG feature extraction b) EEG‐derived feature predictors are selected and grouped into regions with differential correlation between EEG and BOLD. c) Cross multiple correlation of the two modalities with xMCC. 4. Method check and statistical inference: a) Determining time lags between EEG and BOLD. b) Quantifying the contribution of EEG features as proportional reduction of error in BOLD prediction; c) Cross multivariate correlation maps are thresholded based on a permutation test. [Color figure can be viewed at http://wileyonlinelibrary.com]