Lorenzo De Angelis

This paper introduces a behavior-informed modeling framework to account for motion-related confounds in functional ultrasound imaging during naturalistic behaviors in awake mice.

This paper investigates how commanding or acting as an intermediary affects moral behavior and brain mechanisms, finding no difference in agency between commanders and intermediaries but a neural response difference when agents are robots versus humans.

The paper uses intersubject functional correlation with 7T fMRI to show that predictable action sequences trigger more feedback input to parietal regions than unpredictable ones.

This paper evaluates parametric tests for leave-one-out inter-subject correlations in fMRI, showing they control Type I error and are sensitive for detecting neural synchronization.

The paper investigates action-outcome learning in moral conflicts using reinforcement learning models and fMRI, finding that model-based learning explains choices and reveals neural biases in valuing self-gain versus other-pain.

This study evaluates if higher multiband (MB) acceleration improves BOLD signal detection in cognitive tasks, finding MB4 provides better group-level results than lower acceleration.