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. Author manuscript; available in PMC: 2019 Aug 1.
Published in final edited form as: Biol Psychiatry Cogn Neurosci Neuroimaging. 2017 Sep 23;3(8):675–685. doi: 10.1016/j.bpsc.2017.09.005

Table 5.

Brain activation amplitude differences between the ADHD-NONE taxometrically- determined subgroup and non-ADHD. The table lists Montreal Neurological Institute stereotactic space coordinates of peak study group difference for each cluster that was found to be significant in two-sample t test (p<.001 corrected for searching the whole brain). Results are reported for motor inhibition and error processing on the Go/NoGo task and reward prospect and reward anticipation for the Monetary Incentive Delay task. For each brain region, the Cohen’s d effect size is depicted using sparkline graph to facilitate comparison of ADHD subgroup differences with non-ADHD. The final columns report omnibus F significance p levels from a secondary ANOVA comparing the ADHD subgroups. Subgroup ANOVA-identified regions that survive False Discovery Rate corrections for multiple comparisons are denoted with .

Max Peak
x, y, z
t Effect Size Pattern* ADHD Subgroup ANOVA ADHD Subgroup Activation Level Pairwise
Motor Inhibition HC > ADHD-NONE
 Left caudate −6, 17, 2 2.91 graphic file with name nihms908248t39.jpg .010 EF, NONE < REW/EF
Motor Inhibition ADHD-NONE > HC
 Cerebellum (X) −3, −43, -37 4.26 graphic file with name nihms908248t40.jpg .101 -
*

For sparkline graphs, the initial grey datapoint represents the Cohen’s d effect size from a supplemental two-sample t test that compared non-ADHD to all of the ADHD participants. Afterwards, subgroups ADHD1, ADHD2, and ADHD3 are depicted. All sparkline values on this table are scaled relative to the maximum Cohen’s d=1.01 found across all four fMRI task conditions for the ADHD3 subgroup.