The relationship between EEG and fMRI connectomes is reproducible across simultaneous EEG-fMRI studies from 1.5T to 7T

<strong>Connectome dataset for the publication: 'The relationship between EEG and fMRI connectomes is reproducible across simultaneous EEG-fMRI studies from 1.5T to 7T'<br> Wirsich et al. 2021, NeuroImage, doi: </strong>10.1016/j.neuroimage.2021.117864 <strong>Data description</strong> <em>eeg-fmri_connectomes_$atlas$_scrubbed_$dataset$.mat</em><br> datasets with filename truncTo4min58_5s hold static connectivities based on timeseries truncated<br> to 4min58.5s. All other datasets are based on static connectivities derived from the total session<br> timeseries. <br> subj: subject<br> subj.name: name of the subject<br> subj.sess: session<br> subj.sess.sess_name: name of the session<br> subj.sess.fMRI: vector of upper triangular of fMRI connectivity<br> subj.sess.EEG: EEG connectomes<br> subj.sess.EEG.name: name of connectivity measure used (imaginary part of the coherency: iCoh,<br> amplitude envelope correlation (orthongonaliyzed): hilb_Ortho, Amplitude envelope correlation<br> (not orthongonaliyzed): hilb_noOrtho)<br> subj.sess.EEG.bands: EEG frequency bands<br> subj.sess.EEG.bands.name: name of frequency band (delta, theta, alpha, beta, gamma)<br> subj.sess.EEG.bands.name.conn: vector of upper triangular of EEG connectivity<br> subj.atlas: Atlas<br> subj.atlas.name: name of atlas used (Desikan or Destrieux)<br> subj.atlas.regions: number of regions <br> Use the following code to convert connectivity vectors to a connectivity matrix for atlas(1): <pre><code>regions = length(atlas(1).labels) mrtx = zeros(regions); count = 1; for r1 = 1:regions-1 for r2 = r1+1:regions mrtx(r1, r2) = subj.sess.fMRI(count); mrtx(r2, r1) = mrtx(r1, r2); count = count + 1; end end</code></pre> <br> <em>atlas_labels.mat</em> atlas.name: atlas Name atlas.labels: labels of each atlas region <br>