<figure><img src="image_12.png" /><figcaption>**Fig. S5.** Temporal correlation spatial maps of EEG band-power and fMRI RSNs across different acquisition datasets for 8s HRF delay. The figure illustrates the subject-averaged spatial maps of the temporal correlations between 7 canonical fMRI resting state networks (RSNs) and EEG band-power across delta, theta, alpha, beta, and gamma bands for three independently acquired datasets (1.5T, 3T, and 7T), with EEG time-series convolved with an HRF with a 8-s overshoot delay. The left panel displays spatial maps related to EEG scalp data, while the right panel corresponds to source data, mapped to the Desikan-Killiany atlas.</figcaption></figure>
<figure><img src="image_13.png" /><figcaption>**Fig. S6.** Temporal correlation spatial maps of EEG band-power and fMRI RSNs across different acquisition datasets for 10s HRF delay. The figure illustrates the subject-averaged spatial maps of the temporal correlations between 7 canonical fMRI resting state networks (RSNs) and EEG band-power across delta, theta, alpha, beta, and gamma bands for three independently acquired datasets (1.5T, 3T, and 7T), with EEG time-series convolved with an HRF with a 10-s overshoot delay. The left panel displays spatial maps related to EEG scalp data, while the right panel corresponds to source data, mapped to the Desikan-Killiany atlas.</figcaption></figure>
Spatially Averaged EEG-fMRI Correlations

<figure><img src="image_14.png" /><figcaption>**Fig. S7. Spatially Averaged EEG-fMRI Correlations.** The bar plots depict the spatially averaged temporal correlations between EEG band-power across five frequency-bands (delta, theta, alpha, beta, and gamma) and seven canonical fMRI Resting State Networks (RSNs), averaged across subjects for three independently acquired datasets (1.5T, 3T, and 7T). EEG time-series were convolved with a Hemodynamic Response Function (HRF) incorporating 2-s, 4-s, 5-s, 6-s, 8-s, and 10-s overshoot delays. On the left: EEG scalp data; on the right: EEG source (Desikan-Killiany atlas) data. Asterisks denote correlations significantly different from zero at p<0.05, as determined by a t-test across subjects; red and black asterisks represent uncorrected and False Discovery Rate-corrected results, respectively.</figcaption></figure>
Effect of the Number of Subjects on EEG-fMRI Correlations

<figure><img src="image_15.png" /><figcaption>**Fig. S8. Effect of the number of subjects on EEG-fMRI correlations.** Impact of increasing number of subjects on the correlation (averaged across subjects) derived from EEG-fMRI spatially averaged temporal correlations. Top left panel: EEG scalp data; Top right panel: EEG source (Desikan-Killiany atlas) data; Bottom panel: data pooled from both scalp and source (Desikan-Killiany atlas) EEG spaces to derive average correlation values. Distinct colors denote EEG band-power across delta, theta, alpha, beta, and gamma bands, with shaded areas indicating the standard mean error across a set of HRF delays: 2s, 4s, 5s, 6s, 8s, and 10s. Rows represent t-statistics calculated across subjects for each EEG-fMRI dataset (labeled as 1.5T, 3T, and 7T), while columns correspond to the seven canonical fMRI RSNs. For each dataset, subjects were randomly sampled (ranging from 1 to n subjects, over 5000 iterations) prior to computing the average temporal correlations values.</figcaption></figure>
<figure><img src="image_16.png" /><figcaption>**Fig. S9.** Effect of the number of subjects on the significance of EEG-fMRI correlations. Impact of increasing number of subjects on the p-value of the t-statistics derived from EEG-fMRI spatially averaged temporal correlations. On the left: EEG scalp data; on the right: EEG source (Desikan-Killiany atlas) data. Distinct colors denote EEG band-power across delta, theta, alpha, beta, and gamma bands, with shaded areas indicating the standard mean error across a set of HRF delays: 2s, 4s, 5s, 6s, 8s, and 10s. Rows represent t-statistics calculated across subjects for each EEG-fMRI dataset (labeled as 1.5T, 3T, and 7T), while columns correspond to the seven canonical fMRI RSNs. For each dataset, subjects were randomly sampled (ranging from 1 to n subjects, over 5000 iterations) prior to computing the t-stat values.</figcaption></figure>
Effect of the Scan Duration on EEG-fMRI Correlations

<figure><img src="image_17.png" /><figcaption>**Fig. S10. Effect of the scan duration on EEG-fMRI correlations.** Impact of increasing scan duration on the correlation (averaged across subjects) derived from EEG-fMRI spatially averaged temporal correlations. Top left panel: EEG scalp data; Top right panel: EEG source (Desikan-Killiany atlas) data; Bottom panel: data pooled from both scalp and source (Desikan-Killiany atlas) EEG spaces to derive average correlation values. Distinct colors denote EEG band-power across delta, theta, alpha, beta, and gamma bands, with shaded areas indicating the standard mean error across a set of HRF delays: 2s, 4s, 5s, 6s, 8s, and 10s. Rows represent t-statistics calculated across subjects for each EEG-fMRI dataset (labeled as 1.5T, 3T, and 7T), while columns correspond to the seven canonical fMRI RSNs. For each dataset, segments of data were randomly selected (ranging from 1 to n consecutive minutes, over 5000 iterations) prior to computing the average temporal correlations values.</figcaption></figure>
<figure><img src="image_18.png" /><figcaption>**Fig. S11. Effect of the scan duration on the significance of EEG-fMRI correlations.** Impact of increasing scan duration on the p-value of the t-statistics derived from EEG-fMRI spatially averaged temporal correlations. On the left: EEG scalp data; on the right: EEG source (Desikan-Killiany atlas) data. Distinct colors denote EEG band-power across delta, theta, alpha, beta, and gamma bands, with shaded areas indicating the standard mean error across a set of HRF delays: 2s, 4s, 5s, 6s, 8s, and 10s. Rows represent t-statistics calculated across subjects for each EEG-fMRI dataset (labeled as 1.5T, 3T, and 7T), while columns correspond to the seven canonical fMRI RSNs. For each dataset, segments of data were randomly selected (ranging from 1 to n consecutive minutes, over 5000 iterations) prior to computing the temporal correlations and t-stat values.</figcaption></figure>
EEG-fMRI Correlations Across Extended HRF delays

<figure><img src="image_19.png" /><figcaption>**Fig. S12. EEG-fMRI correlations across an extended range of HRF delays.** The heatmaps display the value of the spatially averaged EEG-fMRI correlations, further averaged across subjects, for different Hemodynamic Response Function (HRF) delays, ranging from 0 to 20s. Each subplot corresponds to a combination of the independently acquired datasets (1.5T, 3T and 7T) and 7 canonical Resting State Network (RSN). On the left: EEG scalp data; on the right: EEG source (Desikan-Killiany atlas) data. Red dots denote correlation values that are significantly different from zero, as per t-tests (uncorrected for multiple comparisons). In each subplot, the correlation values corresponding to increasing HRF delays are displayed from top to bottom, and the values corresponding to each EEG frequency-band are displayed from left to right.</figcaption></figure>
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