Cortical hemodynamic mechanisms of reversal learning using high-resolution functional near-infrared spectroscopy: A pilot study |
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Affiliation: | 1. INSERM U1105, Université de Picardie, GRAMFC, CURS, CHU Sud, rue René Laennec, 80036 Amiens Cedex 1, France;2. INSERM U1105, EFSN Pédiatrique, CHU Amiens sud, Avenue Laennec, 80054 Amiens cedex;3. Univ Grenoble Alpes, INSERM U1216, GIN, Grenoble Institut des Neurosciences, 38000 Grenoble, France;4. Aix Marseille Univ, INSERM U1106, INS, Institut de Neurosciences des Systèmes, 13005 Marseille, France |
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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. |
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