Behavioral characteristics and neural mechanisms mediating performance in a rodent version of the balloon analog risk task

James David Jentsch, Jason A. Woods, Stephanie M. Groman, Emanuele Seu

Research output: Contribution to journalArticlepeer-review

58 Scopus citations

Abstract

The tendency for some individuals to partake in high-risk behaviors (eg, substance abuse, gambling, risky sexual activities) is a matter of great public health concern, yet the characteristics and neural bases of this vulnerability are largely unknown. Recent work shows that this susceptibility can be partially predicted by laboratory measures of reward seeking under risk, including the Balloon Analog Risk Task. Rats were trained to respond on two levers: one of which (the add lever) increased the size of a potential food reward and a second (the cash-out lever) that led to delivery of accrued reward. Crucially, each add-lever response was also associated with a risk that the trial would fail and no reward would be delivered. The relative probabilities that each add-lever press would lead to an addition food pellet or to trial failure (risk) were orthogonally varied. Rats exhibited a pattern of responding characteristic of incentive motivation and risk aversion, with a subset of rats showing traits of high-risk taking and/or suboptimal responding. Neural inactivation studies suggest that the orbitofrontal cortex supports greater reward seeking in the presence or absence of risk, whereas the medial prefrontal cortex is required for optimization of patterns of responding. These findings provide new information about the neural circuitry of decision making under risk and reveal new insights into the biological determinants of risk-taking behaviors that may be useful in developing biomarkers of vulnerability.

Original languageEnglish (US)
Pages (from-to)1797-1806
Number of pages10
JournalNeuropsychopharmacology
Volume35
Issue number8
DOIs
StatePublished - Jul 2010
Externally publishedYes

Bibliographical note

Funding Information:
These studies were supported by Public Health Service grants P20-DA022539, P50-MH077248, and RL1-MH083270, and by Philip Morris USA. We gratefully acknowledge the advice and input of Drs Edythe London, Adriana Galvan, and Russell Poldrack.

Keywords

  • Addiction
  • Cognition
  • Decision
  • Frontal
  • Reward
  • Risk

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