Wiki source code of TVB synthetic resting state dataset

Version 10.1 by fousekjan on 2020/06/13 18:09

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10.1	5	= TVB resting state dataset =
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10.1	7	Synthetic resting state recordings of simultaneous fMRI + EEG
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4.2	15	This dataset contains 10 minutes of resting state fMRI and EEG time series simulated with a brain network model implemented in [[The Virtual Brain>>url:https://www.thevirtualbrain.org/]]. More precise information in the model used to generate these data is deliberately not provided here. It will be published in a separate document.
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	18	== Parcellation and Structural Connectivity ==
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	20	{{code}}
	21	sub-<label>/connectivity/
	22	├── sub-<label>_atlas-dk_conndata-network_connectivity.json
	23	├── sub-<label>_atlas-dk_desc-distance_conndata-network_connectivity.tsv
	24	└── sub-<label>_atlas-dk_desc-weight_conndata-network_connectivity.tsv
	25	{{/code}}
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10.1	27	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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	30	[[image:sub-001_connectome.png\|\|alt="connectome"]]
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4.2	32	== BOLD fMRI ==
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	34	{{code}}
	35	sub-<label>/func/
	36	├── sub-<label>_task-rest_atlas-dk_desc-sim_timeseries.json
	37	└── sub-<label>_task-rest_atlas-dk_desc-sim_timeseries.tsv.gz
	38	{{/code}}
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10.1	40	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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	43	[[image:sub-001_bold_with_fc.png\|\|alt="bold"]]
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4.2	45	== EEG ==
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10.1	47	{{code}}
	48	sub-<label>/eeg
4.2	49	├── sub-<label>_task-rest_desc-sim_coordsystem.json
	50	├── sub-<label>_task-rest_desc-sim_eeg.eeg
	51	├── sub-<label>_task-rest_desc-sim_eeg.json
	52	├── sub-<label>_task-rest_desc-sim_eeg.vhdr
	53	├── sub-<label>_task-rest_desc-sim_eeg.vmrk
10.1	54	└── sub-<label>_task-rest_desc-sim_electrodes.tsv
	55	{{/code}}
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10.1	57	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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	60	[[image:sub-001_eeg_traces.png\|\|alt="eeg traces"]]
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	63	[[image:sub-002_eeg_psd.png\|\|alt="eeg psd"]]
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	66	== [[image:sub-002_sensors.png\|\|alt="eeg sensors"]] ==
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4.2	68	== References ==
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	70	Desikan RS, Segonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D, Buckner RL, Dale AM, Maguire RP, Hyman BT, Albert MS, Killiany RJ. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage. 2006;31:968–980.
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	79	{{box title="Contents"}}
	80	{{toc/}}
	81	{{/box}}
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