A Non-interventional Functional Magnetic Resonance Imaging (fMRI) Study on the Neural Bases of Decision-making in Healthy Individuals

The fast growth of Decision Neuroscience is contributing to unveil the cognitive processes underlying choices and their neural bases. The results obtained so far show that decision-making involves neural mechanisms underpinning a complex balance between automatic appetitive or aversive drives generated by subcortical structures, and processes of executive control centered in fronto-parietal brain networks. While the role of meso-limbic structures in reinforcement learning have been widely investigated, it is much less clear to what extent are choices shaped by a) individual differences in executive skills; b) contextual factors potentially interfering with such skills, such as knowing that the outcome of those choices will impact only on one's own vs. another's welfare. This a critical gap, since executive abilities are known to decline even in physiological ageing, thus potentially interfering with the quality of choices. On this ground, this single center non-interventional fMRI study aims to provide novel insights into the relationship between executive and decision-making skills, and their possible changes with ageing, in 150 healthy individuals. This goal will be pursued by combining a behavioral assessment of decision-making and executive skills with a multimodal fMRI session including data concerning a) brain activity associated with decision-making and executive functioning in social vs. non-social contexts, b) brain structural morphometry (grey-matter volume/density), and c) brain structural connectivity (diffusion weighted imaging). The behavioral assessment will involve the main metric of decision-making (e.g., risk aversion, loss aversion, delay discounting) and executive functioning (e.g., selective attention and inhibitory control). MRI data will unveil the neural bases of individual differences in decision-making and executive performance in terms of performance-related patterns of brain activity, structure and connectivity. Results will provide an useful baseline for investigating alterations of decision-making and executive functioning, and of their neural bases, in pathological conditions.