Translational Models of Gambling-Related Decision-Making

Winstanley, Catharine A.; Clark, Luke

doi:10.1007/7854_2015_5014

Cited by 36 publications

(31 citation statements)

References 129 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides, monetary gains become nutritional rewards since money and food are thought to drive similar behaviors 17 . Similar to human studies, lesioned rodents perform suboptimally in adapted IGT versions, as well as they show delayed DM compared to healthy individuals 18,19 . For the majority of healthy rodents, an improvement of performances is observed as the task progresses and individuals commonly cluster in three subpopulations reflecting variable choice strategies 12,14,20 .…”

Section: Introductionsupporting

confidence: 55%

“…If similar overall gambling performances underline proper face validity of our mouse model, construct validity should be substantiated by similar choice strategies in humans and mice. Those can be investigated from additional cognitive proxies subserving behavior 19 . A closer look at the endpoint performances revealed that they correlated with similar choice behaviors in both populations, whose relative contributions either took over or faded away from initiation to completion of the task.…”

Section: Discussionmentioning

confidence: 99%

“…Based upon recent literature addressing mouse gambling tasks (mGT) validity 12,16,19,20,24 , we forecasted a good face validity of our animal model with similar overall performances regarding the human population 25 . To check for the existence of similar variability in choice strategies among species, we then compared the stratification of both populations according to endpoint performances.…”

Section: Introductionmentioning

confidence: 90%

See 2 more Smart Citations

Modeling decision-making under uncertainty: a direct comparison study between human and mouse gambling data

Álvarez

Giustiniani

Chabin

et al. 2019

Preprint

View full text Add to dashboard Cite

Decision-making is a conserved evolutionary process enabling to choose one option among several alternatives, and relying on reward and cognitive control systems. The Iowa Gambling Task allows to assess human decision-making under uncertainty by presenting four cards decks with various cost-benefit probabilities. Participants seek to maximize their monetary gains by developing long-term optimal choice strategies. Animal versions have been adapted with nutritional rewards but interspecies data comparisons are still scarce. Our study directly compared physiological decision-making performances between humans and wild-type C57BL/6 mice. Human subjects fulfilled an electronic Iowa Gambling Task version while mice performed a maze-based adaptation with four arms baited in a probabilistic way. Our data show closely matching performances among species with similar patterns of choice behaviors. Moreover, both populations clustered into good, intermediate, and poor decision-making categories with similar proportions. Remarkably, mice good decision-makers behaved as humans of the same category, but slight differences among species have been evidenced for the other two subpopulations. Overall, our direct comparative study confirms the good face validity of the rodent gambling task. Extended behavioral characterization and pathological animal models should help strengthen its construct validity and disentangle determinants of decision-making in animals and humans.

show abstract

Section: Introductionsupporting

confidence: 55%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 90%

See 1 more Smart Citation

Modeling decision-making under uncertainty: a direct comparison study between human and mouse gambling data

Álvarez

Giustiniani

Chabin

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…Upregulation of functional GABA A receptors as suggested by our data may decrease sensitivity to surprising events when outcome variability is high even under mostly stable conditions, while increases in GluN1 could support learning facilitation when the environment changes. Several psychiatric conditions such as anxiety, schizophrenia, obsessive compulsive and autism spectrum disorders, share pathological uncertainty processing as a core deficit, manifesting as a preference for stable, certain outcomes (Winstanley and Clark, 2016a, 2016b). Interestingly, recent studies have similarly implicated mutations in the gephyrin gene as risk for autism and schizophrenia (Chen et al, 2014; Lionel et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

Complementary contributions of basolateral amygdala and orbitofrontal cortex to value learning under uncertainty

Stolyarova

Izquierdo

2017

eLife

View full text Add to dashboard Cite

We make choices based on the values of expected outcomes, informed by previous experience in similar settings. When the outcomes of our decisions consistently violate expectations, new learning is needed to maximize rewards. Yet not every surprising event indicates a meaningful change in the environment. Even when conditions are stable overall, outcomes of a single experience can still be unpredictable due to small fluctuations (i.e., expected uncertainty) in reward or costs. In the present work, we investigate causal contributions of the basolateral amygdala (BLA) and orbitofrontal cortex (OFC) in rats to learning under expected outcome uncertainty in a novel delay-based task that incorporates both predictable fluctuations and directional shifts in outcome values. We demonstrate that OFC is required to accurately represent the distribution of wait times to stabilize choice preferences despite trial-by-trial fluctuations in outcomes, whereas BLA is necessary for the facilitation of learning in response to surprising events.DOI: http://dx.doi.org/10.7554/eLife.27483.001

show abstract

“…However, while anticipation of food has been associated with enhanced striatal activity, responses to the acute ingestion of food have been associated with blunted neurobehavioral responses. For example, in obese humans striatal responses to ingestion of palatable food are lower compared to healthy weight individuals (see [100,101]; for review), consistent with blunted hedonic responses to oral sucrose following obesity in preclinical models [31]. The neural mechanisms underlying these reduced responses to food consumption are poorly understood.…”

Section: Future Directions and Summarymentioning

confidence: 99%

Functional and structural plasticity contributing to obesity: roles for sex, diet, and individual susceptibility

Alonso-Caraballo

Jorgensen

Brown

et al. 2018

Current Opinion in Behavioral Sciences

View full text Add to dashboard Cite

The role of cortico-striatal pathways in cue-triggered motivational processes have been extensively studied. However, recent work has begun to examine the potential contribution of plasticity in these circuits to obesity. Despite the inclusion of women in human obesity studies examining neurobehavioral alterations in cue-triggered motivation, preclinical studies have focused mainly on male subjects. This lack of female subjects in preclinical research had led to a gap in the basic understanding of the neural mechanisms underlying over-eating in females. In this review, we highlight recent work from our lab and others that has begun to elucidate how diet, obesity, and individual susceptibility to weight gain influence functional and structural plasticity within the nucleus accumbens and prefrontal cortex in adult rats. As is the case throughout neuroscience, studies of females or sex differences are largely lacking in this area. Thus, below we describe preliminary neurobehavioral results from female studies in our labs and point out areas for future investigation.

show abstract

Translational Models of Gambling-Related Decision-Making

Cited by 36 publications

References 129 publications

Modeling decision-making under uncertainty: a direct comparison study between human and mouse gambling data

Modeling decision-making under uncertainty: a direct comparison study between human and mouse gambling data

Complementary contributions of basolateral amygdala and orbitofrontal cortex to value learning under uncertainty

Functional and structural plasticity contributing to obesity: roles for sex, diet, and individual susceptibility

Contact Info

Product

Resources

About