Alessandro Grecucci

This study identifies neural differences between professional visual artists and controls using multimodal neuroimaging data, finding a joint component associated with structural and functional adaptations linked to creativity.

This study uses data fusion machine learning to identify brain networks associated with mindfulness and mind wandering traits and finds mediation effects of mindfulness facets on mind wandering.

This study investigates the neural basis of narcissistic and antisocial traits using connectome-based analyses, finding shared and distinct patterns in the triple network.

The paper investigates how empathy for physical pain is influenced by autobiographical memory reactivation and perspective taking, finding that AM reactivation supports empathy when direct experience is lacking.

The paper investigates resting-state connectivity patterns in adolescents with trait anxiety, finding reduced connectivity in networks related to self-referential processing and rumination.

This study shows that anger expression and control are negatively correlated and both are predicted by the same fronto-temporal GM-WM brain network in healthy individuals.

This study uses machine learning to identify brain networks involving gray and white matter that predict narcissistic personality traits and validates their generalizability.

The paper investigates how regulation and strategy affect emotional responses to pictures and words using behavioral and ERP measures, finding distinct neural patterns for pictures and words.