Michael Moutoussis

The paper introduces a Caring Attributions task and identifies valence-partitioned temporal-difference Bayesian inference as a new neurocomputational mechanism for judging others' care or lack thereof.

The paper identifies a bias in information weighting, specifically reduced recency-weighted evidence integration, as a driver of indecisiveness across obsessive-compulsive and anxiety disorders.

This study investigates how dopamine affects reinforcement learning in humans using L-DOPA and finds it reduces switching after low rewards and influences learning rate and precision.

This paper develops a neurocomputational model of PTSD by linking Bayesian belief-updating and active inference to impaired context disambiguation and maladaptive behavior.

The paper examines how morphometric similarity in brain regions changes during adolescence, finding distinct developmental patterns in paralimbic versus neocortical areas.

This study investigates how dopamine D2/D3 antagonism affects mental state inference and self-relevance of social outcomes using a game-theoretic paradigm and computational model.

The paper tests a two-stage model of motive attribution (classify-refine) and examines the role of serotonin and racial bias in economic decision-making.

The paper uses manifold learning to analyze longitudinal structural connectome data, showing expansion in transmodal regions during adolescence and linking it to cognitive outcomes.

The paper identifies a general decision-making ability, decision acuity, linked to psychopathology and distinct brain connectivity patterns in adolescents and young adults.

This study shows childhood socio-economic disadvantage is linked to reduced myelin growth in adolescence and young adulthood, with some protective effects from parental education and positive parenting.

The paper assesses reinforcement learning deficits in psychosis risk groups and finds they are not linked to schizophrenia polygenic risk in the general population.

The paper links schizotypy-related magnetization in adolescent cortex to schizophrenia risk genes using MRI and gene expression data.

The paper identifies two modes of brain-behavior covariation in adolescents and young adults using canonical correlation analysis, linking brain connectivity to psychometric, IQ, and demographic data.

The paper links compulsivity and impulsivity to distinct patterns of fronto-striatal myelination during adolescence using longitudinal MRI data.

This study shows early psychosis patients jump to conclusions due to perceiving higher information sampling costs, not due to noisy decision making.

This study investigates how noradrenaline and dopamine affect information gathering during decision-making, finding that noradrenaline blockade reduces information gathering through increased decision urgency.

The paper introduces latent change score models for analyzing developmental changes in brain and behavior using longitudinal data, showing correlated brain-behavior changes and sex differences in cortical thinning.

This study shows that compulsivity is linked to reduced metacognitive ability and slower perceptual decision making.