Tomi Karjalainen

The paper introduces an automated pipeline for LAFOV PET data analysis, showing reliable parameter estimates and reduced manual effort.

This study examines age and sex differences in striatal D2R availability using a large PET cohort, finding age-related decline and sex differences in D2R levels.

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.

This study investigates the role of cerebral μ-opioid and CB1-receptor systems in human feeding behavior using PET scans and the Dutch Eating Behavior Questionnaire.

This study finds seasonal variation in brain mu-opioid receptor availability in humans, showing an inverted U-shaped relationship with daylength.

The paper investigates the neural basis of music-evoked emotions using fMRI, finding distinct brain activity patterns for different emotions in auditory and motor regions.

This study quantifies interindividual variability and hemispheric lateralization of μ-opioid receptors in the human brain using PET and Bayesian modeling.

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

This study identifies distinct neural systems for acute and sustained fear using fMRI and ISC analysis in humans watching horror movies.