Julien Bastin

Multi-task Intracranial EEG recordings reveal a Comprehensive Role of the Human Dorsal Anterior Insula in High-Level Cognition

This study uses multi-task intracranial EEG recordings to investigate the role of the human dorsal anterior insula in various cognitive tasks, revealing its involvement in the Action-Mode Network and the interplay between cognitive effort and efficiency.

Choosing the best or avoiding the worst: complementary and opponent value signals in the human brain

The paper investigates how the brain encodes value signals for pleasant and unpleasant scenarios, showing distinct neural systems in vmPFC and aIns that guide decision-making.

Direct stimulation of anterior insula and ventromedial prefrontal cortex disrupts economic choices

This study uses intracerebral stimulation to show that different locations in ventromedial prefrontal cortex and anterior insula have opposing effects on economic choices.

Behavioral changes preceded by subthalamic nucleus alterations in a progressive macaque model of Parkinson's disease.

This study shows that STN dysfunction precedes motor symptoms in a macaque PD model and suggests targeted stimulation strategies for both motor and non-motor symptoms.

Too much or not enough? Optimal level of human intracranial theta activity for rule-switching in the subthalamo-medio-prefrontal circuit

This study investigates the optimal level of theta activity in the subthalamo-medio-prefrontal circuit for rule-switching, finding a Goldilocks effect where moderate theta power supports successful switching while excessive or delayed theta leads to errors.

Neural interactions in the human frontal cortex dissociate reward and punishment learning

The paper identifies distinct neural interaction subsystems in the human frontal cortex for reward and punishment learning using intracranial recordings.

The role of the thalamus in human reinforcement learning

This study investigates the role of the thalamus in human reinforcement learning using intra-thalamic electrophysiological recordings and identifies temporally structured oscillations as encoding key learning signals.

Intracerebral mechanisms explaining the impact of incidental feedback on mood state and risky choice

The paper investigates how mood fluctuations, influenced by incidental feedback, affect choice behavior through neural activity in the vmPFC and daIns.

Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data

The paper introduces a non-parametric permutation-based framework for group-level analysis of cognitive brain networks using neurophysiological data and presents an open-source Python toolbox called Frites.

Opponent intracerebral signals for reward and punishment prediction errors in humans

The paper investigates reward and punishment prediction errors in humans using intracerebral recordings, finding distinct brain regions sensitive to each type of error.

Decoding the neural dynamics of oculomotor decision making in humans

This study uses intracerebral EEG recordings in humans to show that sustained high gamma activity in fronto-parietal cortex distinguishes free choice from instructed saccades during a delayed oculomotor decision task.