Published January 8, 2024 | Version v2
Dataset Open

Dataset to 'Altered correlation of concurrently recorded EEG-fMRI connectomes in temporal lobe epilepsy '

  • 1. EEG and Epilepsy Unit, University Hospitals and Faculty of Medicine of Geneva, Geneva, Switzerland
  • 2. Aix-Marseille Univ, CNRS, CRMBM 7339, Marseille, France; AP-HM CHU Timone, CEMEREM, Marseille, France; IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
  • 3. EEG and Epilepsy Unit, University Hospitals and Faculty of Medicine of Geneva, Geneva, Switzerland ; UCL Queen Square Institute of Neurology, Queen Square, London, UK
  • 4. Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland
  • 5. Aix-Marseille Univ, INS, INSERM, UMR 1106, Marseille, France; AP-HM CHU Timone, Service d'épileptologie, Marseille, France
  • 6. Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
  • 7. Aix-Marseille Univ, CNRS, CRMBM 7339, Marseille, France; AP-HM CHU Timone, CEMEREM, Marseille, France

Description

Dataset to 'Altered correlation of concurrently recorded EEG-fMRI connectomes in temporal lobe epilepsy '

For the linked publication see: https://doi.org/10.1162/netn_a_00362
 

eeg-fmri_$dataset$_$group$_connectomes_desikan_scrubbed.mat
datasets with filename truncTo5min hold static connectivities based on timeseries truncated
to 5min. 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 (corrected imaginary part of the coherency: iCoh)
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)
subj.atlas.regions: number of regions

$dataset$_$group$_particpants.tsv: Subject metadata

$dataset$_$group$_spikes.mat: Interictal epileptoform discharges (IEDs) marked for each session of TLE patients

aparc_aseg_yeoR7_68reg_eeg_nosubc_cmfg2dan.mat: mapping of Desikan regions to Yeo7-networks (Yeo et al. 2011, JNP)

desi_coord_68.txt: MNI coordinates of region centers of the Desikan atlas

For the related code to this dataset please clone: https://github.com/jwirsich/eeg-fmri-tle or use the code provided in 'eeg-fmri-tle-code.zip'

Notes

We acknowledge support from Swiss National Science Foundation (SNSF, under grants CRSII5_209470, and 192749 to SV, 163398 and 180365 to MS and 188769 to FG, P500PM_206720 to LS). JW is supported by a research position of the Faculty of Medicine, University of Geneva. This work was supported by Centre d'Imagerie BioMédicale (CIBM) of the UNIL, UNIGE, HUG, CHUV, EPFL and the Leenaards and Jeantet Foundations, the CNRS, the ANR CONNECTEPI (grant number ANR-07-NEUR-0010).

Files

eeg-fmri-tle-code.zip

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