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Table 1.

The methods for extracting values from an ROI.

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Table 2.

Group difference results from the voxel-wise analysis within anatomical ROIs.

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Fig 1.

Using the NBack split dataset to evaluate the replicability of ROI summary measures.

Three different strategies for ROI selection were used: (a) a 10-mm spherical ROI centered around the MNI coordinates xyz = [40 31 34]; (b) an anatomical ROI encompassing BA46 and lateral BA9; and (c) a task-activated cluster ROI. Asterisks denote significance level in group comparisons: * p < 0.05; ** p < 0.01.

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Fig 2.

The generalizability of the ROI single value summary measures is further examined across three datasets.

(a) The NBack Sibling dataset, PTs vs. SIBs vs. NCs, one-way ANOVA; (b) the NBack COMT dataset, Val/Val vs. Val/Met vs. Met/Met, one-way ANOVA; and (c) the Flanker dataset, NCs vs. PTs, t test.

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Fig 3.

Group mean plots for two NBack datasets.

(a) The split dataset PTs vs. NCs; and (b) the Sibling dataset, PTs vs. SIBs vs. NCs. Selected ROI summary measures (mean, mean of voxels above p = 0.05 threshold, peak, and peak-correlated voxels) were used to extract single-value summaries from three types of ROIs in right DLPFC. * p < 0.05; ** p < 0.01. Error bars represent standard errors.

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Fig 4.

Results summary.

We (a) combined the results of the two-sample t tests by averaging the effect sizes from dataset 1 and 4 together; and (b) combined the one-way ANOVA results by averaging the effect sizes from dataset 2 and 3. The horizontal lines in (a) represent the medium effect size (0.50) for Cohen’s d and the lines in (b) represent the small effect size for Omega squared (0.01).

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