Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: a graph signal processing study
Authors/Creators
- 1. EEG and Epilepsy unit, University Hospital and Faculty of Medicine of Geneva, University of Geneva
- 2. Department of Radiology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Switzerland
- 3. Brain Simulation Section, Berlin Institute of Health/Charite, 10098 Berlin, Germany
- 4. Neuro-X Institute, School of Engineering, Ecole polytechnique fédérale de Lausanne, Geneva, Switzerland; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland;CIBM Center for Biomedical Imaging, Switzerland
- 5. Neuro-X Institute, School of Engineering, Ecole polytechnique fédérale de Lausanne, Geneva, Switzerland; Department of Radiology and Medical Informatics, Faculty of Medicine, University 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: 'Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: a graph signal processing study'
Rigoni et al. 2023, Clinical Neurophysiology, doi: https://doi.org/10.1016/j.clinph.2023.05.012
Dataset description
func_data.mat : source-reconstructed EEG traces stored in a Fieldtrip format (data for each subj)
struct_data: consensus structural connectome
ROIpatch : mesh used to plot Fig4
SC_surrogates (W0): 1000 degree-preserving surrogates of the structural connectome computed with the null_model_und_sign function of the Brani Connectivity Toolbox; W0 are used for broadcasting analyses, section 2.6.2
SC_surrogates_harmonics (U0) : network harmonics of the surrogate structural connectomes (W0); U0 are used for broadcasting analyses, section 2.6.2
BD_surr : Broadcasting-direction (BD) of the degree-preserving surrogates of the structural connectome W0; used to produce FigS3 (data for each subj)
PHI : matrix of +1/-1 to generate the functional surrogates used to define significance of SDI, as described in section 2.6.3
data_GSP2_surr : SDI of the functional surrogates used to define significance of SDI, as described in section 2.6.3 (data for each subj)
Abbreviations:
EEG= electroencephalography;
SDI= structure-decoupling index
Notes
Files
data.zip
Files
(240.9 MB)
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