Lorella Minotti

This study investigates whether stimulus detection and confidence evaluation in the human cortex use shared or modality-specific circuits, finding evidence for supramodal coding in detection and partial supramodal coding in confidence.

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.

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.

This study uses intracranial EEG to show that reading sensation-related sentences activates the posterior insula earlier and more intensely than other semantic categories.

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

This study identifies overlapping neural mechanisms for evidence accumulation, confidence, and changes of mind in specific brain regions using intracranial recordings and computational modeling.

The paper shows evidence accumulation in brain regions explains perceptual experience and confidence, using neural data from 29 participants.

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.

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

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

The paper introduces a new protocol called GE2REC to interactively map language and memory networks using MRI in healthy participants, showing robust activation of relevant brain regions.

The paper introduces a new computerized test, BLAST, to measure attention stability and provides normative data and cortical dynamics from EEG recordings.