Views provided by UsageCounts
Connectome dataset for the publication: 'The relationship between EEG and fMRI connectomes is reproducible across simultaneous EEG-fMRI studies from 1.5T to 7T' Wirsich et al. 2021, NeuroImage, doi: 10.1016/j.neuroimage.2021.117864 Data description eeg-fmri_connectomes_$atlas$_scrubbed_$dataset$.mat datasets with filename truncTo4min58_5s hold static connectivities based on timeseries truncated to 4min58.5s. All other datasets are based on static connectivities derived from the total session timeseries. subj: subject subj.name: name of the subject subj.sess: session subj.sess.sess_name: name of the session subj.sess.fMRI: vector of upper triangular of fMRI connectivity subj.sess.EEG: EEG connectomes subj.sess.EEG.name: name of connectivity measure used (imaginary part of the coherency: iCoh, amplitude envelope correlation (orthongonaliyzed): hilb_Ortho, Amplitude envelope correlation (not orthongonaliyzed): hilb_noOrtho) subj.sess.EEG.bands: EEG frequency bands subj.sess.EEG.bands.name: name of frequency band (delta, theta, alpha, beta, gamma) subj.sess.EEG.bands.name.conn: vector of upper triangular of EEG connectivity subj.atlas: Atlas subj.atlas.name: name of atlas used (Desikan or Destrieux) subj.atlas.regions: number of regions Use the following code to convert connectivity vectors to a connectivity matrix for atlas(1): 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 atlas_labels.mat atlas.name: atlas Name atlas.labels: labels of each atlas region
We thank Katia Lehongre, Benjamin Morillon (64Ch-3T dataset) and Fani Deligianni and Jonathan Clayden (64Ch-1.5T dataset) for generously sharing their data. We acknowledge support from Swiss National Science Foundation (SNSF, under grants CRSII5_170873, 169198 and 192749 to SV, 188769 to FG and 185909 to JJ). SS acknowledges financial support from NIH R01MH11622601A1 and R21NS10460302. ALG was supported by ERC 260347 – COMPUSLANG and NCCR Evolving Language, SNSF Agreement #51NF40_180888. JJ, FL and RG were supported by Centre d'Imagerie BioMédicale (CIBM) of the UNIL, UNIGE, HUG, CHUV, EPFL and the Leenaards and Jeantet Foundations.
resting-state, connectome, EEG-fMRI
resting-state, connectome, EEG-fMRI
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 22 |

Views provided by UsageCounts