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5 = TVB resting state dataset =
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7 Synthetic resting state recordings of simultaneous fMRI + EEG
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15 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>>url:https://www.thevirtualbrain.org/]]. 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.
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17 == Parcellation and Structural Connectivity ==
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19 {{code}}
20 sub-<label>/connectivity/
21 ├── sub-<label>_atlas-dk_conndata-network_connectivity.json
22 ├── sub-<label>_atlas-dk_desc-distance_conndata-network_connectivity.tsv
23 └── sub-<label>_atlas-dk_desc-weight_conndata-network_connectivity.tsv
24 {{/code}}
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26 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**.
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29 [[image:sub-001_connectome.png||alt="connectome"]]
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31 == BOLD fMRI ==
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33 {{code}}
34 sub-<label>/func/
35 ├── sub-<label>_task-rest_atlas-dk_desc-sim_timeseries.json
36 └── sub-<label>_task-rest_atlas-dk_desc-sim_timeseries.tsv.gz
37 {{/code}}
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39 The simulated BOLD (TR=2) time series for the ROIs is stored as compressed **.tsv** file with columns defined in the json sidecar.
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42 [[image:sub-001_bold_with_fc.png||alt="bold"]]
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44 == EEG ==
45
46 {{code}}
47 sub-<label>/eeg
48 ├── sub-<label>_task-rest_desc-sim_coordsystem.json
49 ├── sub-<label>_task-rest_desc-sim_eeg.eeg
50 ├── sub-<label>_task-rest_desc-sim_eeg.json
51 ├── sub-<label>_task-rest_desc-sim_eeg.vhdr
52 ├── sub-<label>_task-rest_desc-sim_eeg.vmrk
53 └── sub-<label>_task-rest_desc-sim_electrodes.tsv
54 {{/code}}
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56 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>>url:https://mne.tools/stable/generated/mne.io.read_raw_brainvision.html]] (**.eeg**, **.vmrk**, **.vhdr**). The electrode labels and locations are listed in the ***_electrodes.tsv** file.
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59 [[image:sub-001_eeg_traces.png||alt="eeg traces"]]
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62 [[image:sub-002_eeg_psd.png||alt="eeg psd"]]
63
64 == [[image:sub-002_sensors.png||alt="eeg sensors"]] ==
65
66 == References ==
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68 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.
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70 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.
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72 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.
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77 {{box title="**Contents**"}}
78 {{toc/}}
79 {{/box}}
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