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. 2017 Aug 15:357:273-284.
doi: 10.1016/j.neuroscience.2017.06.011. Epub 2017 Jun 13.

Distinct neural processes support post-success and post-error slowing in the stop signal task

Affiliations

Distinct neural processes support post-success and post-error slowing in the stop signal task

Yihe Zhang et al. Neuroscience. .

Abstract

Executive control requires behavioral adaptation to environmental contingencies. In the stop signal task (SST), participants exhibit slower go trial reaction time (RT) following a stop trial, whether or not they successfully interrupt the motor response. In previous fMRI studies, we demonstrated activation of the right-hemispheric ventrolateral prefrontal cortex, in the area of inferior frontal gyrus, pars opercularis (IFGpo) and anterior insula (AI), during post-error slowing (PES). However, in similar analyses we were not able to identify regional activities during post-success slowing (PSS). Here, we revisited this issue in a larger sample of participants (n=100) each performing the SST for 40 min during fMRI. We replicated IFGpo/AI activation to PES (p≤0.05, FWE corrected). Further, PSS engages decreased activation in a number of cortical regions including the left inferior frontal cortex (IFC; p≤0.05, FWE corrected). We employed Granger causality mapping to identify areas that provide inputs each to the right IFGpo/AI and left IFC, and computed single-trial amplitude (STA) of stop trials of these input regions as well as the STA of post-stop trials of the right IFGpo/AI and left IFC. The STAs of the right inferior precentral sulcus and supplementary motor area (SMA) and right IFGpo/AI were positively correlated and the STAs of the left SMA and left IFC were positively correlated (slope>0, p's≤0.01, one-sample t test), linking regional responses during stop success and error trials to those during PSS and PES. These findings suggest distinct neural mechanisms to support PSS and PES.

Keywords: cognitive control; error processing; fMRI; go/no-go; post-signal slowing.

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Figures

Figure 1.
Figure 1.
The stop signal task (SST) and performance. (A) Behavioral paradigm; (B) A trial sequence to illustrate post-go (pG), post-stop success (pSS), and post-stop error (pSE) go trials; (C) Bar plots to show the extent of post-success slowing (PSS) and post-error slowing (PES) in mean ± S.D. across subjects: *p≤0.001 and **p≤0.0001; (D) A scatter plot to show the positive correlation between PSS and PES across subjects. Each dot represents data of one subject.
Figure 2.
Figure 2.
Regional activations to post-error slowing (PES) and post-success slowing (PSS). IFGpo/AI: inferior frontal gyrus, pars opercularis/anterior insula; IFC: inferior frontal cortex. The results of contrast (A) pSEi vs. pSEni and (B) pSSi vs. pSSni, at p≤0.001, uncorrected, shown in axial sections from z=−32 to +64 and neurological orientation: R = right. Color scale reflects voxel T values.
Figure 3.
Figure 3.
Brain regions providing Granger causality inputs to (A) right IFGpo/AI, including the thalamus, right insula, right inferior precentral sulcus (IPcS), precuneus (PCu), and right supplementary motor area (SMA); and to (B) left IFC, including the right posterior insula and left SMA.
Figure 4.
Figure 4.
Linear correlation of single trial amplitude (STA) between target region – right inferior frontal gyrus, pars opercularis and anterior insula (rIFGpo/AI) – and five input regions – thalamus, right insula, right inferior precentral sulcus (IPcS), precuneus (PCu), and the right supplementary motor area (SMA); as well as between target region – left inferior frontal cortex (lIFC) – and two input regions – insula and the left SMA. The regression lines are aligned at an intercept of zero for visualization of the overall pattern of slopes.

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