Dataset for the publication: 'Reproducible network changes occur in a mouse model of temporal lobe epilepsy but do not correlate with disease severity 'Rigoni et al. 2023, Neurobiology of Disease, doi: https://doi.org/10.1016/j.nbd.2023.106382 Dataset description Data\data2publish\sub- : 50 epochs of raw epicranial EEG data (31 x 8001 x 50, channels x time x n_epochs, Fs=4k Hz). The epochs are available for 29 mice, on different sessions (ses-d0, ses-d28, ses-d29) depending on the animal Data\data2publish\EA_info.xlsx: number of epileptiform activities automatically detected for each animal at d28 and d29 Data\data2publish\derivatives\eeg_preprocessing: results of the script A_EEG_preprocessing.m, for each animal and session Data\data2publish\derivatives\elec_layout: different layouts used to plot results. Mouse_layout_modif is the one used in Fig 4 Data\data2publish\derivatives\network_metrics_wpli: results of network analyses (script C_network_analyses.m) Data\data2publish\derivatives\wpli: connectivity matrices (30 x 30) obtained with the script B_connectivity_wpli.m for each animal, in each session, for each frequency band wit Code for analyses available here: https://github.com/IsottaR/ir_mice_project_Zenodo Abbreviations: EEG= electroencephalography

This work was supported by Swiss National Science Foundation (SNSF) grant no. 192749 CRSII5_170873 and CRSII5_209470to SV and grant no. 206720 to LS.