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Reiter, A. M. F.

Publications and source records attributed to Reiter, A. M. F..

2 recordsLinked to original sources

Cortical grey matter mediates increases in model-based control and learning from positive feedback from adolescence to adulthood

Adolescents undergo maturation in cognition and brain structure. Model-based (MB) control is known to increase from childhood to young adulthood, which is mediated by cognitive abilities. Here, we asked two questions unaddressed in previous developmental studies: Firstly, what are the brain structural correlates of age-related increases in MB control? Secondly, how are age-related increases in MB control from adolescence to adulthood influenced by motivational context? A developmental sample (n=103, age: 12-42) completed structural MRI and an established task to capture MB control. The task was modified with respect to outcome valence by including (1) reward and punishment blocks to manipulate the motivational context and (2) an additional choice test to assess learning from positive vs. negative feedback. After replicating that an age-dependent increase in MB control is mediated by cognitive abilities, we demonstrate first-time evidence that grey matter density (GMD) in the parietal cortex mediates the increase of MB control with age. While motivational context did not relate to age-related changes in MB control, learning from positive feedback improved with age. Meanwhile, negative feedback learning showed no age effects. We present a first report that an age-related increase in learning from positive feedback was mediated by reduced GMD in the parietal, medial and dorsolateral prefrontal cortex. Our findings indicate that efficient brain maturation, as putatively reflected in lower GMD, in distinct and partially overlapping brain regions is a key developmental step towards age-related increases in planning and value-based choice. Significance StatementAdolescents undergo extensive maturation in cognition and brain structure. Interestingly, model-based decision-making is also known to increase from childhood to adulthood. Here, we demonstrate for the first time that grey matter density in the parietal cortex mediates an age-dependent increase in model-based control. An age-related increase in positive feedback learning was mediated by reduced grey matter density in the parietal, medial and dorsolateral prefrontal cortex. Interestingly, a manipulation of motivational context (gain reward vs. avoid punishment) did not impact age-related changes in model-based control. These findings highlight that efficient brain maturation in distinct and overlapping cortical brain regions constitutes a key developmental step towards increases in model-based planning and value-based choice.

neuroscience↗

Revealing human sensitivity to a latent temporal structure of changes

Precisely timed behaviour and accurate time perception plays a critical role in our everyday lives, as our well-being and even survival can depend on well-timed decisions. Although the temporal structure of the world around us is essential for human decision making, we know surprisingly little about how representation of temporal structure of our everyday environment impacts decision making. How does the representation of temporal structure affect our ability to generate well-timed decisions? Here we address this question by using a well-established dynamic probabilistic learning task. Using computational modelling, we found that human subjects beliefs about temporal structure are reflected in their choices to either exploit their current knowledge or to explore novel options. The model-based analysis illustrates a large within-group and within-subject heterogeneity. To explain these results, we propose a normative model for how temporal structure is used in decision making, based on the semi-Markov formalism in an active inference framework. We discuss potential key applications of the presented approach to the fields of cognitive phenotyping and computational psychiatry.

neuroscience↗