| 要約: | The dataset includes 15 subjects x 5 steady state conditions.
Connectivity data has been computed using FSLNETS with the following options:
- Timeseries from a set of 33 ROIs derived from functional data (Study-ROIs).
- Correlation as dependency measures.
- No bandpass filtering.
The connectivity_data.mat file includes:
netmatZ: connectivity data
Roi_names: names of the nodes
Roi_RSNs: classification of the 33 nodes into Motor, Visual and DMN networks.
Tval/Pval: results of the node-wise t-test comparison between rest and each of the active tasks.
The plot_connectivity.m file can be used to plot the average connectivity matrices for each task and the differences.
Connectivity results are grouped by RSN.
Published in:
Sala-Llonch R, Smith SM, Woolrich M, Duff EP. Spatial parcellations, spectral filtering, and connectivity measures in fMRI: Optimizing for discrimination. Hum Brain Mapp. 2018
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