Sentence examples for statistic images from inspiring English sources

Holmes, A. P., Blair, R. C., Watson, G. & Ford, I. Nonparametric analysis of statistic images from functional mapping experiments.

Z (Gaussianised T/F) statistic images were thresholded using clusters determined by Z>2.3, uncorrected.

For this between-group comparison, Z statistic images were thresholded at p = 0.01 (uncorrected voxel p threshold).

The resulting summary statistic images were then entered into a second stage analysis that treated each subject as a random variable.

Higher-level group comparisons were carried out using FLAME FMRIBB's Local Analysis of Mixed Effects); Z (Gaussianised T/F) statistic images were thresholded using clusters determined by Z>2.33 (study 1) or Z>1.96 (study 2) and a corrected cluster significance threshold of p = 0.01 [53], [53].

Z (Gaussianised T/F) statistic images were thresholded as detailed below.

The multiple comparisons problem is addressed using continuous random field theory, assuming the statistic image to be a good lattice representation of an underlying continuous stationary random field.

Each resulting Z statistic image in each subject was considered in the mixed effect analysis at the group level to show, which clusters of voxels above a Z value of 2.3 were activated at a significance level of P < 0.05.

Z-statistic images were thresholded using clusters determined by Z>2.3 and a corrected cluster-significance threshold of p = 0.05 according to random field theory[44].

The color overlays show 5 example RSNs (coded in different colors) from the 3 different acquisitions of subject 2, presented as z-statistic images (from a multiple regression against a 100-component cross-TR decomposition of the datasets—see Methods for details), thresholded at Z>4 in all cases.

The spatial maps were converted to z-statistic images via normalized mixture-model fitting, and thresholded at z = 3 (Beckmann and Smith, 2004; Smith et al., 2009).