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These results are shown in Figure 3 A using a voxel-wise threshold of P < 0.001 and a P < 0.05 whole-brain cluster extent correction for multiple comparisons using random field theory (Worsley et al. 1992).
Each map was statistically corrected for multiple comparisons using a voxel-wise (intensity) threshold of p<.001 and a cluster-wise (extent) threshold of 8 voxels.
We reported significance using a voxel-wise P-value threshold (P <0.05) corrected for multiple comparisons and an extent threshold of at least 20 contiguous voxels (kE ≥20).
Subsequently, we conducted exploratory whole-brain analyses using a voxel-wise Z statistic >2 and a cluster-corrected threshold of p<0.05.
Following preprocessing, the data for each subject were modeled using a voxel-wise general linear model.
The map was constrained using a voxel-level minimum statistic threshold and a cluster size threshold.
Statistical parametric maps were thresholded using clusters determined by a voxel-wise threshold (Z > 2.3) and a (corrected) cluster significance threshold of p = 0.05 (Worsley, 2001).
Unless otherwise specified, all rCBF statistical parametric maps were thresholded using clusters determined by a voxel-wise threshold (Z > 2.3) and a (corrected) cluster significance threshold of p = 0.05 (Worsley, 2001).
A priori regions of interest (left and right NAc and the ventromedial prefrontal area activated by both tasks) were used for small volume correction using voxel-wise thresholding at p<0.05, corrected for multiple comparisons.
As before, a one-sample t-test was used (23 degrees of freedom) and a voxel-wise threshold of p<0.001 (uncorrected; T>3.48) was used to generate the cluster images.
A minimum cluster size of 20 mm voxels was used to achieve a corrected significance of p<.05 with a voxel-wise threshold of p<.01.
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