Sentence examples for mean beta weights from inspiring English sources

For each participant, parameter estimates (mean beta weights) were derived from the rostral MPFC (averaged over all voxels within a 4 mm radius sphere of the peak voxel: −10, 68, 20) and the more caudal MPFC (averaged over all voxels within a 4 mm radius sphere of the peak voxel: −8, 54, 30) for each of the four conditions (relative to the baseline).

For Step 1, we first identified the most commonly occurring tuning curve shapes in the group mean beta weights.

Having identified these different types of tuning present in the group mean beta weights, we then evaluated their discriminability across subjects.

Table 5 shows corresponding mean beta weights for both groups and all 3 encoding and the single recognition network(s) across all loads.

Mean beta weights over the regions of interest were extracted using the MarsBar toolbox (Brett et al., 2002) and further analysed in SPSS.

Mean beta weights for all voxels within these ROIs were extracted separately for each participant for each of the 4 application event types, and these data were exported for group-level analysis in SPSS.

Output was a mean beta weight per subject per ROI describing the activation across runs in that ROI for the subject.

Mean beta-weights were extracted from these regions for each condition and morph level, separately for the pre- and post-training session (Figure 5b).

Specifically, we used the regions of interest for each participant to compute the mean value of the beta weights for each experimental condition estimated from the general linear model.

Numbers denote standardized regression coefficients (beta weights) for each path.

Mean beta carotene concentrations in cheek cells were significantly lower among controls.