Sentence examples for measures of connectivity from inspiring English sources

This analysis draws from the weighted connectivity matrix (Fig.  11) using binary measures of connectivity (i.e. connections existing or not, independently of their strength).

In each subject, regional cerebral blood flow responses to speech in the LalSTC region of interest were correlated separately with responses in regions of interest from each connected region, generating Pearson correlation coefficients as individual-subject measures of connectivity strength for each LalSTC connection.

Two standard measures of connectivity were employed.

Two measures of connectivity were employed, both computed by averaging across participants in the HCP sample.

Measures of connectivity were employed to assess the present and future effectiveness of the existing PAN.

GIS measures of connectivity, proximity to destinations, and pedestrian infrastructure and safety were used to create a walkability index.

The second, macrostructural, measure of connectivity, was defined in terms of connection replicability30 between brain's voxels and corpus callosum, i.e., as a proportion of participants in which a connection exists between brain's voxels and corpus callosum to the overall HCP sample size.

The previous analysis failed to reveal a categorical difference between lateralised and non-lateralised regions in macroscopic measure of connectivity.

Figure 3c demonstrates that lateralised regions when compared to non-lateralised voxels did not differ in this macrostructural measure of connectivity.

Since for each voxel, or region there is only one data point, a measure of connectivity can only be computed for a group.

Thus through this measure of connectivity, we can see a clear structure to the event progression with new insights into flood dynamics that were not anticipated a priori.