Polymorphisms in dopaminergic genes predict proactive processes of response inhibition.

The ability to inhibit a prepared emotional or motor action is difficult but critical to everyday functioning. It is well-established that response inhibition relies on the dopaminergic system in the basal ganglia. However, response inhibition is often measured imprecisely due to a process which slows our responses and increases subsequent inhibition success known as proactive inhibition. As the role of the dopamine system in proactive inhibition is unclear, we investigated the contribution of dopaminergic genes to proactive inhibition. We operationalised proactive inhibition as slower responses after failures to inhibit a response in a Go/No-Go paradigm and investigated its relationship to rs686/A at DRD1 (associated with increased gene expression) and rs1800497/T at DRD2 (associated with reduced D2 receptor availability). Even though our sample (N = 264) was relatively young (18-40 years), we found that proactive inhibition improves the ability to withhold erroneous responses in older participants (p = 0.002) and those with lower fluid intelligence scores (p < 0.001), indicating that proactive inhibition is likely a naturally occurring compensatory mechanism. Critically, we found that a polygenic risk score consisting of the number of rs686 A and rs1800497 T alleles predicts higher engagement of proactive inhibition (p = 0.040), even after controlling for age (p = 0.011). Furthermore, age seemed to magnify these genetic effects (p < 0.001). This suggests that the extent to which proactive inhibition is engaged depends on increased dopamine D1 and decreased D2 neurotransmission. These results provide important considerations for future work investigating disorders of the dopaminergic system.

Polymorphisms that affect GABA neurotransmission predict processing of aversive prediction errors in humans.

Learning is one of our most adaptive abilities, allowing us to adjust our expectations about future events. Aberrant learning processes may underlie disorders such as anxiety, motivating the search for the neural mechanisms that underpin learning. Animal studies have shown that the neurotransmitter GABA is required for the computation of prediction errors, the mismatches between anticipated and experienced outcomes, which drive new learning. Given that evidence from human studies is lacking, we sought to determine whether these findings extend to humans. Here, in two samples of Caucasian individuals, we investigated whether genetically determined individual differences in GABA neurotransmission predict the P3 event-related potential, an EEG component known to reflect prediction error processing. Consistent with the results of animal studies, we show that a weighted genetic risk score computed from the number of GABRB2 rs1816072 A alleles (associated with increased expression of the GABAA receptor ß2 subunit gene) and the number of ErbB4 rs7598440 T alleles (associated with increased GABA concentration) predicts optimal prediction error processing during aversive classical conditioning with both visual (Experiment 1, N = 90; p = .010) and auditory (Experiment 2; N = 92; p = .031) unconditioned stimuli. Our finding that optimal processing of aversive prediction errors is reduced in individuals genetically predisposed towards decreased GABA neurotransmission suggests a potential mechanism linking GABA and anxiety. Specifically, reduced GABA signalling via GABAA receptors could result in aberrant learning from aversive experiences and vulnerability to anxiety disorders.