4.5 Article

A novel risk-based decision-making paradigm

Journal

FRONTIERS IN BEHAVIORAL NEUROSCIENCE
Volume 8, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fnbeh.2014.00045

Keywords

decision-making; dopamine agonists; risk-taking; rodent models; uncertainty; environmental cues

Funding

  1. FCT-Foundation for Science and Technology
  2. FEDER funds
  3. national funds through FCT-Foundation for Science and Technology [PTDC/SAU-NSC/111814/2009]
  4. [SFRH/SINTD/60129/2009]
  5. Fundação para a Ciência e a Tecnologia [PTDC/SAU-NSC/111814/2009, SFRH/SINTD/60129/2009] Funding Source: FCT

Ask authors/readers for more resources

This paper presents a novel rodent decision-making task that explores uncertainty, independently of expectation and predictability. Using a 5-hole operating box, adult male Wistar rats were given choices between a small certain (safe) food reward and a large uncertain (risk) food reward. We found that animals strongly preferred the safe option when it had a fixed position or was cued with a light in a random placement scheme, but had no preference for safe or risk options when the latter were associated with light. Importantly, when the reward was manipulated animals could perceive alterations in the outcome value and biased their choice pattern to the most profitable option. In addition, we found that the D2/D3 agonist quinpirole biased all decisions toward risk in this paradigm. Finally, a c-fos analysis revealed that several brain areas known to be involved in decision-making mechanisms, including the medial prefrontal cortex, the orbitofrontal cortex, the nucleus accumbens and the striatum, were activated by the task. In summary, this paradigm is a useful and highly reliable tool to explore decision-making processes in contexts of uncertainty.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available