Biology subjects

Hales, C. A.

Publications and source records attributed to Hales, C. A..

5 recordsLinked to original sources

bioRxiv2026

Applying drift diffusion models to rat gambling task data reveals divergent cognitive mechanisms underlying risky choice

The rat gambling task (rGT) has been widely used to investigate the neural mechanisms underlying risky choice and motor impulsivity. Here, rats sample between four options (P1-P4) that vary in the size and probability of reward and time-out penalties. The optimal strategy is to avoid risky options that may yield higher per-trial gains, but deliver longer and more frequent time-outs. Previous reports suggest pairing wins with salient audiovisual cues increases risky decision making, but behavioural variation is high, and it is unclear whether motor impulsivity is also affected. Here we leveraged rGT data from over 750 rats to characterize behavioural performance across sex and cue condition. We compared different methods of classifying rats as optimal or risk-preferring, using either a unitary decision score variable or specific P-choice preference, and applied drift diffusion modeling (DDM) to explore whether divergent cognitive mechanisms underlie risky decision making across subgroups. We confirmed that risky choice is higher on the cued rGT, partly due to a greater proportion of risk-preferring rats, but also because net optimal decision-makers chose the risky options more often. Risk-preferring rats made more impulsive, premature responses regardless of cue condition, as did males. Optimal decision-makers made more premature responses when cues were present, such that premature response rates were higher overall on the cued rGT. DDM and response latency data suggest divergent cognitive processes underpinning risky decisions across sex. Wider decision boundaries were associated with both highly optimal and highly risky choice patterns, indicating risky choices are made deliberatively by highly risk-preferring individuals. Similar results were obtained regardless of classification method.

neuroscience↗

bioRxiv2026

Anterior insula activity increased by cued risky wins in healthy volunteers

Audiovisual cues ( bells and whistles) are ubiquitous in commercial gambling products. Pairing wins with sound and light cues in laboratory-based gambling paradigms increases risky choice, but the neurocognitive basis of this effect is unclear. Here we compared patterns of neural activation using functional MRI in healthy volunteers (n = 31) while they performed a two-choice lottery task. Reward-paired cues were either present or absent in a mixed-block, event-related design. As predicted, participants made riskier choices on cued trials. Choice latencies were also longer when cues were present, particularly on trials following a win. Activity within the nucleus accumbens and orbitofrontal cortex was greater during the decision phase when participants made risky choices. Nucleus accumbens signal was also greater when participants were anticipating risky outcomes, and in response to risky wins. Contrary to our pre-registered hypotheses, cue condition did not alter patterns of activity across any task phase, in either of these a priori regions of interest. As such, cue-induced risky choice does not appear to be driven by altered representation of risk or value within this canonically reward-sensitive circuitry. Instead, exploratory analyses revealed that the anterior insula was selectively activated by cued, risky wins. Such activation may signal the saliency of these events, or their emotional impact, and may reflect one mechanism through which cue-induced craving develops in vulnerable individuals.

neuroscience↗

bioRxiv2023

Insight into differing decision-making strategies that underlie cognitively effort-based decision making using computational modeling in rats

RationaleThe rat Cognitive Effort Task (rCET), a rodent model of cognitive rather than physical effort, requires animals to choose between an easy or hard visuospatial discrimination, with a correct hard choice more highly rewarded. Like in humans, there is stable individual variation in choice behavior. In previous reports, animals were divided into two groups - workers and slackers - based on their mean preference for the harder option. Although these groups differed in their response to pharmacological challenges, the rationale for using this criterion for grouping was not robust. MethodsWe collated experimental data from multiple cohorts of male and female rats performing the rCET, and used a model-based framework combining drift diffusion modeling with cluster analysis to identify the decision-making processes underlying variation in choice behavior. ResultsWe verified that workers and slackers are statistically different groups, but also found distinct intra-group profiles. These subgroups exhibited dissociable performance during the attentional phase, linked to distinct decision-making profiles during choice. Reanalysis of previous pharmacology data using this model-based framework showed that serotonergic drug effects were explained by changes in decision boundaries and non-decision times, whilst scopolamines effects were driven by changes in decision starting points and rates of evidence accumulation. ConclusionsModeling revealed the decision-making processes that are associated with cognitive effort costs, and how these differ across individuals. Reanalysis of drug data provided insight into the mechanisms through which different neurotransmitter systems impact cognitively effortful attention and decision-making processes, with relevance to multiple psychiatric disorders.

neuroscience↗

bioRxiv2020

Effects of pro-depressant and immunomodulatory drugs on biases in decision-making in the rat judgement bias task

Studies in human and non-human species suggest that decision-making behaviour can be biased by affective state, also termed an affective bias. To study these behaviours in non-human species, judgement bias tasks have been developed. Animals are trained to associate specific cues (tones) with a positive or negative/less positive outcome. Animals are then presented with intermediate ambiguous cues and affective biases quantified by observing whether animals make more optimistic or more pessimistic choices. Here we use a high versus low reward judgement bias task and test whether pharmacologically distinct compounds, which induce negative biases in learning and memory, have similar effects on decision-making: tetrabenazine (0.0-1.0mg/kg), retinoic acid (0.0-10.0mg/kg) and rimonabant (0.0-10.0mg/kg). We also tested immunomodulatory compounds: interferon- (0-100units/kg), lipopolysaccharide (0.0-10.0g/kg) and corticosterone (0.0-10.0mg/kg). We observed no specific effects in the judgement bias task with any acute treatment except corticosterone which induced a negative bias. We have previously observed a similar lack of effect with acute but not chronic psychosocial stress and so next tested decision-making behaviour following chronic interferon-alpha. Animals developed a negative bias which was sustained even after treatment was ended. These data suggest that decision-making behaviour in the task is sensitive to chronic but not acute effects of most pro-depressant drugs or immunomodulators, but exogenous administration of acute corticosterone induces pessimistic behaviour. This work supports our hypothesis that biases in decision-making develop over a different temporal scale to those seen with learning and memory which may be relevant in the development and perpetuation of mood disorders. Graphical abstract and textDecision-making bias in rats, measured using a judgement bias task, is not altered by acute treatments with pro-depressant or immunomodulatory drugs, but becomes more negative following chronic treatment. The time course of change in decision-making bias reflects the subjective reporting of changes in depression symptoms in humans treated with these drugs. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=163 SRC="FIGDIR/small/358655v1_ufig1.gif" ALT="Figure 1"> View larger version (55K): org.highwire.dtl.DTLVardef@93dd2corg.highwire.dtl.DTLVardef@19d7e41org.highwire.dtl.DTLVardef@cc1ac1org.highwire.dtl.DTLVardef@1f0775c_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2020

Role of the medial prefrontal cortex in the effects of rapid acting antidepressants on affective biases in a rodent decision-making task

Major Depressive Disorder is a significant and costly cause of global disability. Until the discovery of the rapid acting antidepressant (RAAD) effects of ketamine, treatments were limited to drugs that have delayed clinical benefits. The mechanism of action of ketamine is currently unclear but one hypothesis is that it may involve neuropsychological effects mediated through modulation of affective biases (where cognitive processes such as learning and memory and decision-making are modified by emotional state). Previous work has shown that affective biases in a rodent decision-making task are differentially altered by ketamine, compared to conventional, delayed onset antidepressants. This study sought to further investigate these effects by comparing ketamine with other NMDA antagonists using this decision-making task. We also investigated the subtype selective GluN2B antagonist, CP-101,606 and muscarinic antagonist scopolamine which have both been shown to have RAAD effects. Both CP-101,606 and scopolamine induced similar positive biases in decision-making to ketamine, but the same effects were not seen with other NMDA antagonists. Using targeted medial prefrontal cortex (mPFC) infusions, these effects were localised to the mPFC. In contrast, the GABAA agonist, muscimol, induced general disruptions to behaviour. These data suggest that ketamine and other RAADs mediate a specific effect on affective bias which involves the mPFC. Non-ketamine NMDA antagonists lacked efficacy and we also found that temporary inactivation of the mPFC did not fully recapitulate the effects of ketamine, suggesting a specific mechanism.

neuroscience↗