Catechol-O-methyltransferase Val158Met modulation of prefrontal-parietal-striatal brain systems during arithmetic and temporal transformations in working memory

Abstract

Working memory (WM) is critically mediated by dopaminergic tuning of signal-to-noise in cortical neural assemblies. However, little is known about the distributed neuronal networks impacted by dopaminergic modulation in the component processes of WM. Here, we used the genotype of the Val158Met polymorphism in catechol-O-methyltransferase (COMT) as an index of relative cortical dopamine bioavailability and tuning efficiency, to examine the spatial and subprocess specificity by which dopaminergic modulation occurs within the prefrontal-parietal-striatal network during WM, thus empirically showing that dopamine plays key roles in updating and stabilizing new information at the neural systems level. In an event-related fMRI task dissociating component numerical WM subprocesses, baseline numerical size comparison engaged ventrolateral prefrontal cortical activation that correlated with COMT Val-allele load (COMT Val>Met), while performing arithmetic transformations further engaged this genotype effect in dorsolateral prefrontal cortex (DLPFC), as well as in parietal and striatal regions. Critically, additional temporal integration of information in WM disproportionately engaged greater COMT Val>Met effects only at DLPFC. COMT Val>Met effects were also observed in DLPFC during encoding of new information into WM, but not at its subsequent retrieval. Thus, temporal updating operations, but less so the retrieval of already encoded representations, engaged relatively specific dopaminergic tuning at the DLPFC. Manipulating and rapidly updating representations were sensitive to dopaminergic modulation of neural signaling in a larger prefrontal-parietal-striatal network. These findings add to the integration of dopaminergic signaling in basic cortical assemblies with their roles in specific human brain networks during the orchestration of information processing in WM.

Figure 1.

The event-related numerical WM task paradigm.

Figure 2.

Regions activated in the contrasts of interest (left), corresponding ROIs with COMT Val>Met effects (middle), and extracted signal from the prefrontal ROI according to COMT genotype (right).

Figure 3.

Relative to baseline numerical size judgment, extracted parameter estimates from the working memory manipulation task (E_CJ > J) and numerical manipulation task (CJ > J) showed a task-by-genotype interaction at the DLPFC.