Severi Santavirta

This study investigates the neural correlates of appraisal processes and discrete emotions using fMRI, finding shared brain regions and better explanation by appraisal theories.

The paper examines how autistic traits affect neural responses to social signals in naturalistic stimuli using fMRI and finds consistent effects in the superior temporal gyrus across two experiments.

The paper compares inter-subject functional connectivity (ISFC) between autistic and neurotypical individuals during movie-watching using fMRI data from two datasets, finding reduced ISFC in autistic groups.

The paper identifies four moral dimensions and their neural correlates during intuitive moral inference using fMRI and consensus clustering.

This study investigates how age, sex, and BMI affect striatal dopamine synthesis capacity in Parkinson's disease patients and healthy controls using PET data.

This study examines how acute and sustained fear affect visual attention and arousal during a horror movie, finding distinct patterns in eye movement and physiological responses.

This study uses fMRI to examine neural responses to simulated bullying in adolescents and adults, finding activation of socio-emotional and threat response systems linked to victimization experiences.

This study shows GPT-4 can predict human emotion ratings and model associated neural responses with high accuracy.

The paper investigates the cerebral organization of perceived and felt emotions using fMRI and emotional movies, revealing shared and distinct neural mechanisms across brain regions.

This paper evaluates GPT-4V's ability to annotate social features in images and videos, finding it matches human performance and neural representations.

This study uses eye tracking and cinematic stimuli to model how different levels of visual information guide social perception, finding that low-level features and mid-level categories drive gaze, while high-level features affect pupil responses.

The paper identifies eight dimensions of social perception using data from movie clips and participant ratings, showing consistent patterns across different stimuli and populations.

This study uses fMRI to show that vicarious feeding activates motor and affective brain regions and that these responses decrease with higher BMI.

This study examines D2R availability in neuropsychiatric conditions using PET data from 437 individuals, finding reduced availability in Parkinson's disease and altered interregional connectivity in schizophrenia, depression, and violent behavior.

The paper investigates the neural basis of laughter and crying using fMRI and MVPA, finding distinct brain networks for each emotion with overlapping suppression.

This study tracks brain glucose metabolism over 5 years in middle-aged men, finding regional declines and associations with metabolic, glucose, and heart rate factors.

The paper examines neural responses to biological motion in neurotypical individuals, finding distinct associations with autistic and schizotypal traits through fMRI and synchronization analysis.

The paper uses brain activity patterns from visual sexual stimuli to accurately classify sex in subjects.

This study maps neural responses to social features in the human brain using fMRI and identifies spatial patterns of social perception.

Magia automates PET brain data processing, producing outcome measures consistent with manual methods despite anatomical differences in reference regions.