Reproducible network changes occur in a mouse model of temporal lobe epilepsy but do not correlate with disease severity
Authors/Creators
- 1. EEG and Epilepsy unit, Department of Neuroscience, University Hospital and Faculty of Medicine of Geneva, University of Geneva, Geneva, Switzerland
- 2. Department of Basic Neuroscience, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- 3. Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- 4. Department of Neurosurgery, University Hospital and Faculty of Medicine of Geneva, Geneva, Switzerland
Contributors
Contact person:
- 1. EEG and Epilepsy unit, Department of Neuroscience, University Hospital and Faculty of Medicine of Geneva, University of Geneva, Geneva, Switzerland
Description
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
Notes
Files
Data.zip
Files
(3.7 GB)
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