Risk-Promoting Effects of Reward-Paired Cues in Human Sign- and Goal-Trackers

The incentive sensitization theory of addiction proposes that through repeated associations with addictive rewards, addiction-related stimuli acquire a disproportionately powerful motivational pull on behaviour. Animal research suggests trait-like individual variation in the degree of incentive salience attribution to reward-predictive cues, defined phenotypically as sign-tracking (high) and goal-tracking (low incentive salience attribution). While these phenotypes have been linked to addiction features in rodents, their translational validity has been little studied. Here, we examined whether sign- and goal-tracking in healthy human volunteers modulates the effects of reward-paired cues on cost-benefit decision making. Sign-tracking was measured in a Pavlovian conditioning paradigm as the amount of eye gaze fixation on the reward-predictive cue versus the location of impending reward delivery. In Study 1 (Cherkasova et al, 2018), participants were randomly assigned to perform a two-choice lottery task in which rewards were either accompanied (cued, n=63) or unaccompanied (uncued, n=68) by money images and casino jingles. In Study 2, participants (n=58) performed cued and uncued versions of the task in a within-subjects design. Across both studies, cues promoted riskier choice, and both studies yielded evidence of goal-tracking being associated with greater risk-promoting effects of cues. These findings are at odds with the notion of sign-trackers being preferentially susceptible to the influence of reward cues on behavior and point to the role of mechanisms besides incentive salience in mediating such influences.

But How Will We Measure It? Co-Creating Assessments of Outcomes in Age-Friendly Care, PA

Moving from concept to quantitative measurement can be complex. There were several challenges in co-designing measures to assess the impact of Age-Friendly Care, PA, a geriatric workforce enhancement program. First as a FQHC, our clinical partner had not captured the metrics of interest. Second, the co-developed operational definitions for our metrics should be feasible, relevant, and useful for all project members. Third, funder reporting requirements must also be addressed. Working within this context, we co-created 11 outcome indicators structured around the 4Ms (IHI) now with 9 months of data. EMR changes to make data reportable included measuring opioid misuse mitigation, high-risk medication elimination, cognitive assessment and dementia care management, advanced care planning, care partner presence, annual wellness visit completion, pneumonia vaccination rates, colorectal screening rates, mobility goal tracking, and presence of a caregiver. Work continues around formulating themes to create a reportable mechanism for assessing What Matters.

Nicotine Enhances Goal-Tracking in Ethanol and Food Pavlovian Conditioned Approach Paradigms

RationaleNicotine promotes alcohol intake through pharmacological and behavioral interactions. As an example of the latter, nicotine can facilitate approach toward food- and alcohol-associated stimuli (“sign-tracking”) in lever-Pavlovian conditioned approach (PavCA) paradigms. However, we recently reported that nicotine can also enhance approach toward locations of reward delivery (“goal-tracking”) triggered by ethanol-predictive stimuli when the location of ethanol delivery is non-static (i.e., a retractable sipper bottle).ObjectiveTo determine whether the non-static nature of the reward location could have biased the development of goal-tracking in our previous study (Loney et al., 2019); we assessed the effect of nicotine in a lever-PavCA paradigm wherein the location of ethanol delivery was static (i.e., a stationary liquid receptacle). Then, to determine whether nicotine’s enhancement of goal-tracking is unique to ethanol-predictive stimuli, we assessed the effect of systemic nicotine on approach triggered by food-predictive stimuli in a lever-PavCA paradigm.MethodsLong–Evans rats were used in two PavCA experiments wherein a lever predicted the receipt of ethanol (15% vol/vol; experiment 1) or food (experiment 2) into a stationary receptacle. Prior to testing, rats were administered nicotine (0.4 mg/kg subcutaneously) or saline systemically.ResultsIn both experiments, nicotine increased measures of goal-tracking, but not sign-tracking.ConclusionNicotine can facilitate approach to reward locations without facilitating approach to reward-predictive stimuli. As such, conceptualization of the mechanisms by which nicotine affects behavior must be expanded to explain an enhancement of goal-tracking by nicotine.

Partial reinforcement in rat autoshaping with a long CS: Effects of pramipexole and chlordiazepoxide on sign and goal tracking

In Pavlovian autoshaping, sign-tracking responses (lever pressing) to a conditioned stimulus (CS) are usually invigorated under partial reinforcement (PR) compared to continuous reinforcement (CR). This effect, called the PR acquisition effect (PRAE), can be interpreted in terms of increased incentive hope or frustration-induced drive derived from PR training. Incentive hope and frustration have been related to dopaminergic and GABAergic activity, respectively. We examined the within-trial dynamics of sign and goal tracking in rats exposed to 20-s-long lever presentations during autoshaping acquisition under PR vs. CR conditions under the effects of drugs tapping on dopamine and GABA activity. There was no evidence of the PRAE in these results, both groups showing high, stable sign-tracking response rates. However, the pharmacological treatments affected behavior as revealed in within-trial changes. The dopamine D2 receptor agonist pramipexole (0.4 mg/kg) suppressed lever pressing and magazine entries relative to saline controls in a within-subject design, but only in PR animals. The allosteric benzodiazepine chlordiazepoxide (5 mg/kg) failed to affect either sign or goal tracking in either CR or PR animals. These results emphasize the roles of dopamine and GABA receptors in autoshaping performance, but remain inconclusive with respect to incentive hope and frustration theories. Some aspects of within-trial changes in sign and goal tracking are consistent with a mixture of reward timing and response competition.

Does learning history shape the associability of outcomes? Further tests of the outcome predictability effect

In recent years, several studies of human predictive learning demonstrated better learning about outcomes that have previously been experienced as consistently predictable compared to outcomes previously experienced as less predictable, namely the outcome predictability effect. As this effect may have wide-reaching implications for current theories of associative learning, the present study aimed to examine the generality of the effect with a human goal-tracking paradigm, employing three different designs to manipulate the predictability of outcomes in an initial training phase. In contrast to the previous studies, learning in a subsequent phase, when every outcome was equally predictable by novel cues, was not reliably affected by the outcomes’ predictability in the first phase. This lack of an outcome predictability effect provides insights into the parameters of the effect and its underlying mechanisms.