TVB synthetic resting state dataset
TVB resting state dataset
Synthetic resting state recordings of simultaneous fMRI + EEG
This dataset contains 10 minutes of resting state fMRI and EEG time series simulated with brain network model (Sanz-Leon et al., 2015, 2013) implemented in The Virtual Brain. More precise information on the model used to generate these data is deliberately not provided here. The data will be available for a period of time without the model description to get unbiased feedback from the community analyzing empirical data. The model description will be published in a separate document.
Parcellation and Structural Connectivity
├── sub-<label>_atlas-dk_conndata-network_connectivity.json
├── sub-<label>_atlas-dk_desc-distance_conndata-network_connectivity.tsv
└── sub-<label>_atlas-dk_desc-weight_conndata-network_connectivity.tsv
The structural connectivity is stored in two separate .tsv files containing the weights (au) and tract lengths (mm) matrices ordered as sources x targets. The 84 regions are defined by the FreeSurfer parcellation by Desikan-Killiany Atlas (Desikan et al, 2006). Mapping of region labels to names is defined in dk_atlas.tsv.
BOLD fMRI
├── sub-<label>_task-rest_atlas-dk_desc-sim_timeseries.json
└── sub-<label>_task-rest_atlas-dk_desc-sim_timeseries.tsv.gz
The simulated BOLD (TR=2) time series for the ROIs is stored as compressed .tsv file with columns defined in the json sidecar.
EEG
├── sub-<label>_task-rest_desc-sim_coordsystem.json
├── sub-<label>_task-rest_desc-sim_eeg.eeg
├── sub-<label>_task-rest_desc-sim_eeg.json
├── sub-<label>_task-rest_desc-sim_eeg.vhdr
├── sub-<label>_task-rest_desc-sim_eeg.vmrk
└── sub-<label>_task-rest_desc-sim_electrodes.tsv
The EEG was simulated using a montage for HydroCel Geodesic Sensor Net with 256 electrodes. The raw data sampled at 256Hz was only high-pass filtered (FIR window length 845 samples, 1Hz cutoff), and stored in the BrainVision triplet format (.eeg, .vmrk, .vhdr). The electrode labels and locations are listed in the *_electrodes.tsv file.
References
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., Albert, M. S., & Killiany, R. J. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage, 31(3), 968–980.
Sanz-Leon, P., Knock, S. A., Woodman, M. M., Domide, L., Mersmann, J., McIntosh, A. R., & Jirsa, V. (2013). The Virtual Brain: a simulator of primate brain network dynamics. Frontiers in neuroinformatics, 7.
Sanz-Leon, P., Knock, S. A., Spiegler, A., & Jirsa, V. K. (2015). Mathematical framework for large-scale brain network modeling in The Virtual Brain. NeuroImage, 111, 385–430.