Sentence examples for continuous voxels from inspiring English sources

In the whole-brain search, all results from random effect analysis were initially searched with a threshold at p<0.001, uncorrected, with a spatial extent of more than 20 continuous voxels.

The threshold of significance was set at P < 0.001, and more than 10 continuous voxels were reported.

fMRI group processing results (n = 7) that identified the activated sensorimotor (P < 0.05, no voxel-based corrections) and visual areas (uncorrected P < 0.01, with a cluster extent threshold of 27 continuous voxels) are shown in Fig.  2a.

> -wrap-foot> Corrected: application of a cluster extent threshold of 27 continuous voxels, SM1: primary sensorimotor area, V1: primary visual area The calculated color-coded FA maps, showing the fiber orientations (Fig.  3a, upper low), and ADC maps (Fig.  3a, lower low) were shown in axial view, along with the selected ROIs used to measure the values.

The activated functional areas, from the sensorimotor stimulation (Fig.  1b) and visual stimulation (Fig.  1c) of one sheep, were visualized (uncorrected P < 0.001, with a cluster extent threshold of 27 continuous voxels) and overlaid on axial, coronal, and sagittal slices, along with a 3D-rendered head view.

This was done by using the Cluster command in FSL to extract the total number of continuous voxels that were above threshold for the conjunction term, feature type, and difficulty effects separately – and then subtracting these activated voxel counts from the total number of voxels in each mask for each participant.

The significant threshold was set to uncorrected voxel-level P < 0.001 and the continuous voxel number >10.

The multiple comparison correction was performed by AlphaSim correction (Cluster Connectivity Criterion: edge connected; rmm = 5, continuous voxel >85).

We chose to use another widely-used technique for lesion symptom mapping, voxel-based morphometry (VBM), which indexes neural integrity in the form of continuous voxel intensity values (Ashburner and Friston, 2000).

Statistical ALFF and ReHo maps were constructed by computing a paired t-test between baseline and after real acupuncture ALFF and ReHo values (AlphaSim correction at P < 0.05, edge connected cluster connectivity criterion, rmm = 5, continuous voxel >85).

The major difference, however, is that in BD the E⊖, E⊕ and Eø are defined over a bounded infinite and continuous voxel of backbone conformation space; in B RDEE, these terms are defined over a finite set of backbone conformations.