| Literature DB >> 35233532 |
Martin Panitz1,2, Lorenz Deserno1,3,4, Elisabeth Kaminski1,5, Arno Villringer1,6,7, Bernhard Sehm1,8, Florian Schlagenhauf1,2.
Abstract
The medial prefrontal cortex (mPFC) is thought to be central for flexible behavioral adaptation. However, the causal relationship between mPFC activity and this behavior is incompletely understood. We investigated whether transcranial direct current stimulation (tDCS) over the mPFC alters flexible behavioral adaptation during reward-based decision-making, targeting Montreal Neurological Institute (MNI) coordinates X = -8, Y = 62, Z = 12, which has previously been associated with impaired behavioral adaptation in alcohol-dependent patients. Healthy human participants (n = 61) received either anodal (n = 30) or cathodal (n = 31) tDCS versus sham tDCS while performing a reversal learning task. To assess the mechanisms of reinforcement learning (RL) underlying our behavioral observations, we applied computational models that varied with respect to the updating of the unchosen choice option. We observed that anodal stimulation over the mPFC induced increased choice switching after punishments compared with sham stimulation, whereas cathodal stimulation showed no effect on participants' behavior compared with sham stimulation. RL revealed increased updating of the unchosen choice option under anodal as compared with sham stimulation, which accounted well for the increased tendency to switch after punishments. Our findings provide a potential model for tDCS interventions in conditions related to flexible behavioral adaptation, such as addiction.Entities:
Keywords: computational modeling; decision-making; mPFC; reinforcement learning; transcranial direct current stimulation
Year: 2022 PMID: 35233532 PMCID: PMC8874878 DOI: 10.1093/texcom/tgac006
Source DB: PubMed Journal: Cereb Cortex Commun ISSN: 2632-7376