Sentence examples for beta weights for the from inspiring English sources

Evidently, GM_SAN and FA_CC have the higher beta weights for the majority of cognitive domains (p = 0.002, ANOVA test on |beta weights| among four neuromarkers).

For 18 out of 24 participants, the beta weights for the global assignment model were higher than the beta weights for the local assignment model.

Whole-brain maps depicting beta weights for the 4-rule application regressors were examined at the group level in a 2 × 2 factorial design (rule complexity × analogical distance).

Through trial runs of the first block of variables with rotated variable removal, widowhood was identified as the variable mostly responsible for the suppression effect; with widowhood removed from the model, the beta weight for the association between gender and social loneliness was β = −0.06.

This average was fitted to each voxel in a GLM, and the derived beta weight for that voxel was the breath-hold response in units of %BOLD (as a ratio of the %BOLD signal change of the RHsig, that is, 100% indicates a signal with the same amplitude as the RHsig time series).

Second, beta weights for delineating the power of changes among symptom measures to predict changes in cognitive measures were consistently small and nonsignificant.

For this we either averaged the beta weights for each TR to obtain the average activation time course, or submitted the beta weights for each TR to a cross-validated LDA classifier to obtain a classification accuracy time course.

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.

Because of the large amount of data, we present only results for the initial and final models and beta weights for facets retained in the final model only.

To visualize patterns in the 5D space defined by the beta weights for Deviant Levels 1 5, we adopted a mixture of empirical and theory-driven approaches.

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