Sentence examples for cluster extent from inspiring English sources

Classic solutions for the multiple comparisons problem (like Bonferroni correction or FDR) are too rigorous, and clustering-based corrections (grouping of connected individually significant voxels by imposing a single cluster extent threshold) may not be appropriate given the different size of the original ROIs (see Figure 4).

Height (H) was set at 2 and cluster Extent (E) was set at.5 [28].

Non-Stationary Cluster Extent Correction, which corrects for non-isotropic smoothness of VBM data [68] was also applied.

Regions were classified as significant when they exceeded an FDR-corrected threshold of p<0.005, and a cluster extent threshold of 25 voxels.

The group contrasts were thresholded at p<.005 (uncorrected) at the voxel-level combined with the same cluster extent threshold of 20 voxels as the within-group contrasts.

Coordinates of the peak difference of this cluster was identical with the above mentioned unmasked cluster (x, y, z = −32, 1, −35) although the masked cluster was smaller (cluster extent 575 voxel; Z = 4.81; p = 0.023; FDR corrected; Fig. 2).

The Monte Carlo simulations masking everything except the amygdalae, led to a minimum cluster-extent threshold of only 1 voxel.

These results were found after applying a voxel significance threshold p < 0.005 and a cluster-extent threshold Ke > 492 voxels.

The Monte Carlo simulations masking everything except the amygdalae, yielded a minimum cluster-extent threshold of only 1 voxel.

The Monte Carlo simulations using the background mask, delivered a cluster-extent threshold of 762 voxels for the response to the negative stimuli.

These simulations revealed rather conservative cluster-extent thresholds in combination with the voxel significance threshold of p ≤ 0.005 selected to look at the whole brain results.