Abstract

ObjectivesReversal learning is widely used to analyze cognitive flexibility and characterize behavioral abnormalities associated with impulsivity and disinhibition. Recent studies using fMRI have focused on regions involved in reversal learning with negative and positive reinforcers. Although the frontal cortex has been consistently implicated in reversal learning, few studies have focused on whether reward and punishment may have different effects on lateral frontal structures in these tasks. MethodsDuring this pilot study on eight healthy subjects, we used functional near infra-red spectroscopy (fNIRS) to characterize brain activity dynamics and differentiate the involvement of frontal structures in learning driven by reward and punishment. ResultsWe observed functional hemispheric asymmetries between punishment and reward processing by fNIRS following reversal of a learned rule. Moreover, the left dorsolateral prefrontal cortex (l-DLPFC) and inferior frontal gyrus (IFG) were activated under the reward condition only, whereas the orbito-frontal cortex (OFC) was significantly activated under the punishment condition, with a tendency towards activation for the right cortical hemisphere (r-DLPFC and r-IFG). Our results are compatible with the suggestion that the DLPFC is involved in the detection of contingency change. We propose a new representation for reward and punishment, with left lateralization for the reward process. ConclusionsThe results of this pilot study provide insights into the indirect neural mechanisms of reversal learning and behavioral flexibility and confirm the use of fNIRS imaging in reversal-learning tasks as a translational strategy, particularly in subjects who cannot undergo fMRI recordings.

Highlights

  • Humans must be able to adapt to changes in their environment

  • These results provide insights into the indirect neural mechanisms of reversal learning and behavioral flexibility and confirm the use of functional near infra-red spectroscopy (fNIRS) imaging in reversal-learning tasks as a translational strategy, in subjects who cannot undergo functional magnetic resonance imaging (fMRI) recordings

  • The left dorsolateral prefrontal cortex and inferior frontal gyrus were significantly activated under the reward condition

Read more

Summary

Introduction

Humans must be able to adapt to changes in their environment This requires quickly adjusted responses to voluntarily inhibit or alter established behavior (prepotent response) (Ghahremani et al, 2010). Paradigms such as reversal-learning tasks (RLTs) can be used to measure behavioral flexibility (Chamberlain et al, 2008; Ghahremani et al, 2010; Izquierdo et al, 2017; Xue et al, 2013). There is an alteration of the rule, and the stimulus associated with the positive feedback changes, a reversal occurs, and participants must select the new correct stimulus related to the desired outcome to appropriately update the response (Ghahremani et al, 2010). In eight healthy subjects, we used functional near infra-red spectroscopy (fNIRS) to characterize brain activity dynamics and differentiate the involvement of frontal structures in learning driven by reward and punishment

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call