Stereo-EEG recordings database of epileptic seizures
The database include three set of data: intracranial Stereo-EEG (SEEG) recordings, adjacency matrices and indexes derived from graph theory
1) SEEG recordings consisted of 3 minutes of interictal activity from subjects with intractable focal seizures. The data were recorded during the invasive pre-surgical work-up at the Epilepsy Surgery center of Niguarda Hospital in Milan. Subjects were monitored for up to several days in order to characterize their seizures and assess their candidacy for surgery. Recordings were collected from 10 subjects with type II focal cortical dysplasia. Raw signals were sampled at 1000 Hz and, after low pass filtering at 120 Hz to avoid aliasing, downsampled at 250 Hz. The number of channels included in each record ranged from 70 to 90. In order to protect the privacy of the subjects, all health information in the original files was removed.
2) Adjacency matrix: EEG recordings was divided into 36 non-overlapped epochs (5 s length) and each couple of channels was submitted to connectivity analysis by means of nonlinear regression method h2. An adjacency matrix was then built for each epoch, with the value of the element ij representing the association or flow of information from channel xj(t) to xi(t).
3) From each adjacency matrix we extracted 11 indexes aimed at quantified the centrality of the nodes: degree, strength, betweenness centrality; network segregation: clustering coefficient, local efficiency, modularity, and network integration: path length, efficiency.
For each patients, three different file mat were provided:
- PtxxSigBip.mat : File containing the EEG signals in bipolar montage
- PtxxAdMatr.mat : File containing 36 Adjacency Matrices
- PtxxPar.mat: File containing 36 matrices with the 11 graph parameters estimated for each EEG channel.
The following .zip files include all the data just described.
SEEG part 1 SEEG part 2 SEEG part 3 SEEG part 4 SEEG part 5 SEEG part 6 SEEG part 7 SEEG part 8 SEEG part 9 SEEG part 10
The following .zip includes the detailed description of the database.
Please reference the following publications:
- D.Y. Takahashi, L. A. Baccal, K. Sameshima, Connectivity inference between neural structrures via partial directed coherence, Journal of Applied Statistics, 34(10), pp. 1259-1273.
- F. Panzica, G. Varotto, F. Rotondi, R. Spreafico, S., Identification of the epileptogenic zone from stereo-EEG signals: a connectivity-graph theory approach, Frontiers in Neurology, 4.
- M. Rubinov, O. Sporns, Complex netwrok measurs of the brain connectivity: uses and interpretations, Nueroimage, 52(3), pp. 1059-1069.
- G. Varotto, L. Tasso, S. Franceschetti, R. Spreafico, F. Panzica, Epileptogenic networks of type II focal cortical dysplasia: a stereo-EEG study, NeuroImage, 61(3), pp.591-598.
- F. Wending, F. Bartolomei, J. Bellanger, P.Chauvel, Interpretation of interdependencies in epileptic signals using a macroscopic physiological model of the EEG, Clinical neurophysiology, 112(7), pp. 1201-1218.
