Quentin J. M. Huys

The paper develops a five-task EEG battery to detect dissociable neural biomarkers of reinforcement learning and motivation, identifying distinct neural markers across multiple tasks.

This study shows that a heightened sense of control reduces the negative impact of stress on mental health.

This paper conducts a meta-analysis of dopamine and serotonin pharmacological manipulations in humans, finding distinct associations with reward and punishment reinforcement learning components.

This study shows that ventral hippocampus CA1 is necessary for mice to perform hidden state inference in a 2-armed bandit task using abstract contextual representations.

The paper develops a hierarchical reinforcement learning model to explain individual differences in attentional set shifting using CANTAB IED data and psychiatric symptom assessments.

The paper shows that reduced frontal alpha asymmetry during sad mood induction predicts antidepressant relapse after medication discontinuation.

This study uses computational modeling to analyze risky decision-making in a general population sample, finding that decision parameters correlate with age and gender but not mental health symptoms.

This paper develops a biologically-plausible model of decision uncertainty to explain metacognitive distortions in mental health disorders by linking model parameters to empirical confidence judgments and self-reported symptoms.

This study compares pruning behaviors in depressed and healthy individuals during multi-step decision-making but finds no group differences or relationship between pruning and depressive symptoms.

The paper investigates how changes in resting-state functional connectivity predict depression relapse after antidepressant discontinuation, finding that increased connectivity between the dorsolateral prefrontal cortex and parietal cortex is associated with relapse risk.

This study shows that vagus nerve stimulation impairs reinforcement learning by reducing the learning rate, particularly after punishment, in a go/no-go task.

The paper evaluates predictors of relapse after antidepressant discontinuation using clinical data and finds that standard clinical variables have low predictive power.

This study investigates how baseline dopamine levels influence the effect of L-DOPA on model-based and model-free control in decision-making tasks.

This study shows that cocaine users can self-regulate their reward system using non-drug imagery and that real-time fMRI neurofeedback enhances this ability.

This study shows that neuroticism impairs reward learning and decision-making in major depression patients compared to healthy controls.