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Direct comparisons (ASD>TD, TD>ASD) between groups revealed no significant differences for the contrast of Self>Rest in whole-brain analyses (Z>2.3, cluster significance threshold of p = 0.05, corrected).
Active brain regions were defined as regions with more than one active voxel with significant positive BOLD activity (thresholded at z = 2.3 with a corrected cluster significance level of p < 0.05).
We propose a dimension relevance measure to indicate the cluster significance in the corresponding subspace.
Z (Gaussianised T/F) statistical images were thresholded using clusters determined by Z > 2.3 and a (corrected) cluster significance threshold of P = 0.05.
The study demonstrated marked similarities in BOLD signal responses between superficial and deep needling, with no significant differences in either activations (increases in BOLD signal) or deactivations (decreases in BOLD signal) above the voxel Z score of 2.3 with corrected cluster significance of P = 0.05.
In fact, the single cluster analysis is designed to optimize the cluster significance as defined in Ref. [31].
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While the Nnh clustering analysis provides an excellent clustering technique, it does not provide crime scientists with a statistical test of clustering significance (i.e. Getis-Ord Gi* statistic).
Normalised data were exported to TIGR Multi-experiment Viewer (TMEV), version 4.0 (http://www.tigr.org/tdb/euk ) and hierarchical clustering, significance analysis of microarrays (SAM) and principle component analysis (PCA) were performed.
For each cluster in hierarchical clustering, significance levels have been calculated via multiscale bootstrap resampling.
To quantify clustering significance, we permute the expression profiles and use these permuted profiles to build permuted interactomes (see ' Methods').
The second method we used to assess the clustering significance of neurons according to their preferred texture coarseness was the Monte Carlo analysis.
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