Vincenzo G. Fiore

Dopamine and serotonin transients predict depressive symptom relief following deep brain stimulation of human subcallosal cingulate cortex

This paper shows that dopamine and serotonin changes during deep brain stimulation predict symptom relief in treatment-resistant depression.

Multi-Class Classification of Cannabis and Alcohol Use Disorder: Identifying Common and Substance-Specific Neural Circuits.

This paper develops a multiclass classification framework to identify shared and substance-specific neural circuits in cannabis and alcohol use disorder using functional connectivity features from cue-induced craving tasks.

A thalamic circuit represents dose-like responses induced by nicotine-related beliefs in human smokers

The paper shows that nicotine-related beliefs in smokers induce dose-like thalamic responses and functional coupling with prefrontal cortex, similar to pharmacological effects.

A generalizable computational mechanism underlying the interaction between momentary craving and decision-making

This study identifies a computational mechanism linking momentary craving and decision-making in substance use disorders, showing differential effects between alcohol and cannabis users.

Context-invariant neural dynamics underlying the encoding of Bayesian uncertainty, but not confidence

The paper investigates neural dynamics for belief updating with and without explicit outcomes, finding distinct networks for confidence and uncertainty encoding.

Humans Use Forward Thinking to Exert Social Control

The paper shows humans use forward thinking to guide social choices, with neural activity reflecting control beliefs in specific brain regions.

An interpretable connectivity-based decoding model for classification of chronic marijuana use

This paper develops an interpretable decoding model using functional connectivity to classify chronic marijuana users and non-users with high accuracy.

An insula-driven network computes decision uncertainty and promotes abstinence in chronic cocaine users

This study identifies an insula-driven neural network that tracks decision uncertainty and predicts abstinence in chronic cocaine users.

Addiction beyond pharmacological effects: the role of environment complexity and bounded rationality

This paper introduces a reinforcement learning model to show how environmental complexity and bounded rationality contribute to non-pharmacological addiction by causing cognitive overload and suboptimal decision-making.

A Multilevel Computational Characterization of Endophenotypes in Addiction

This paper simulates endophenotypic variations in addiction using neural and reinforcement learning models, finding that imbalances between cortico-striatal systems affect addiction outcomes and treatment responses.

Value Encoding in the Globus Pallidus: fMRI reveals an interaction effect between reward and dopamine drive

The paper uses fMRI to show that GPe activity interacts with reward and dopamine levels, supporting a computational model of value encoding in the basal ganglia.

A lineage-related reciprocal inhibition circuitry for sensory-motor action selection

The paper identifies a lineage-related reciprocal inhibition circuit in Drosophila that mediates sensory-motor action selection through competitive inhibition.