Leonardo Cerliani

The paper investigates how brain regions encode emotional facial expressions using representational similarity analysis, finding that vmPFC and mid-posterior insula encode emotion categories and arousal+valence better than arousal alone.

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.

The paper investigates subcortico-cortical connectivity development in ASD using dynamic causal modelling, finding delayed functional segregation and reduced subcortical influence on cortical processing in ASD compared to TD controls.

This study investigates neural mechanisms of misophonia using fMRI, finding increased orbitofrontal connectivity and auditory-limbic pathway interactions in response to trigger sounds.

The paper investigates the relationship between hemi-face dominance in emotional expression and cerebral white matter asymmetries in healthy participants.

The paper develops methods to map lesion effects on brain circuits and shows they impact category fluency, with results available in BCBtoolkit.