Trevor William Robbins

This study compares the effects of atomoxetine and ADHD stimulants on visual attention in rats, finding atomoxetine impairs attention while stimulants have variable effects.

This study examines neurobehavioural differences in ADHD and OCD patients during a cognitive flexibility task, finding distinct patterns of response switching and brain activity.

This study examines how inactivation and dopamine receptor agents in the dorsolateral and dorsomedial striatum affect action sequence performance in rats, finding DLS critical for sequence execution and D2 receptor modulation.

The paper identifies three depression subtypes using plasma proteomics, linked to inflammation, aging, and metabolic factors, with distinct clinical and neurobiological features.

This study shows that dopamine fluctuations in the nucleus accumbens reflect reward prediction errors incorporating confidence and uncertainty during visual decision-making in rats.

The paper introduces Brain-DiT, a deep generative model for analyzing task-fMRI data, identifying cognitive regions and subgroups linked to psychiatric conditions like depression and alcohol abuse.

This study shows that optogenetic stimulation of VTA to NAcbS projections impairs reversal learning and increases exploitation bias in rats during probabilistic reversal learning.

The paper develops a computational model of dopamine dynamics in the striatum, revealing regional differences in dopamine transporter activity and receptor response kinetics.

This study shows oxytocin, but not vasopressin, reduces willingness to harm others by increasing guilt and shame for intentional harm.

This study investigates the roles of caudate and putamen in spatial self-ordered sequencing in marmosets using glutamate receptor blockade, showing distinct contributions to variable and fixed sequencing tasks.

The paper uses reinforcement learning models and fMRI to analyze cognitive flexibility differences in Gambling Disorder and Cocaine Use Disorder, finding distinct neural and behavioral patterns.

This paper introduces DeCoP, a novel decoding method that separates reward processing into evaluation and salience components, showing improved performance over traditional methods.

This study shows that serotonin manipulations affect decision-making flexibility in rats and humans through similar computational mechanisms.

The paper identifies neurobehavioral markers in rats that predict future compulsive cocaine seeking behavior through pre-existing functional and structural brain changes.

This study investigates how LSD affects reinforcement learning in humans by examining changes in learning rates, reinforcement sensitivity, and exploratory behavior during a probabilistic reversal learning task.

This study shows that blocking D2/D3 dopamine receptors increases belief volatility during trust learning, particularly in individuals with higher dopamine availability.

This study investigates how cortical dopamine affects motivational biases in automated behavior using a pharmacological intervention in healthy individuals.

This study shows that the dorsomedial and dorsolateral striatum have opposing roles in skill acquisition in rats, with dorsomedial striatum accelerating and dorsolateral impeding sequence learning.

This study shows that serotonin depletion impairs reversal learning and emotional updating in humans, correlating with the degree of tryptophan depletion.

The paper maps dynamic brain lateralization patterns using resting-state fMRI data, revealing associations with cognitive functions and heritability.

This study identifies distinct roles of primate PFC sub-regions and the caudate nucleus in goal-directed behavior using pharmacological inactivation and over-activation in marmosets.

The paper was withdrawn due to substantial changes in results and interpretation after further analysis.

The paper shows that serotonin depletion enhances emotional responses to social conflict, interacting with personality traits to produce distinct emotions like guilt and annoyance.

This study examines how tryptophan depletion affects conditioned threat memory and finds that serotonin reduction attenuates emotional memory expression, particularly in individuals with higher intolerance of uncertainty.

The paper identifies genes associated with dynamic brain network changes and links them to neuroplasticity processes, showing that temporal variability predicts cognitive outcomes.

A cross-species machine learning approach using transgenic primate data improves diagnostic classification of ASD and OCD with higher accuracy than human-only models.

This study investigates dopaminergic modulation of prediction error responses in OCD using fMRI and computational modeling, finding bidirectional remediation of exaggerated cingulate signaling with dopamine agonists and antagonists.

This study investigates whether actions in OCD are goal-directed or habitual by manipulating action-outcome contingency, finding that OCD patients show dissociation between explicit knowledge and behavior.

This study uses reinforcement learning modeling to show that avoidance learning generalization involves distinct perceptual and value-based processes, with value-based generalization linked to anxiety and intrusive thoughts.

This study examines reward prediction error signalling in individuals with first episode psychosis and those at risk for psychosis, finding abnormal midbrain and prefrontal cortex activation compared to healthy controls.