Jouni Tuisku

This study uses PET/MRI to examine glucose metabolism and hemodynamic responses during pleasurable music listening, revealing complementary neural activity patterns in brain regions associated with reward and emotion.

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

This study quantifies inter-individual variability in PET-estimated receptor and transporter density across 12 neurotransmitter systems in the human brain.

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 identifies a common neural network associated with aggression across clinical, forensic, and healthy populations through a meta-analysis of neuroimaging studies.

The paper investigates seasonal variation in D2/3 dopamine receptor availability in the human brain using PET scans and finds a negative correlation between daylength and receptor availability in the striatum.

This study investigates dopamine D2R and opioid MOR receptor availabilities in ASD using PET imaging and finds reduced D2R availability in striatum and nucleus accumbens, and MOR changes in hippocampi and precuneus.

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.

This study finds reduced D2R availability in psychopathic offenders compared to controls, suggesting a potential neuromolecular pathway for psychopathy.

This study uses PET and fMRI to show endogenous opioid release in the hippocampus and increased hemodynamic activity in brain regions associated with sexual arousal following orgasm.

The paper examines the effect of APOE ε4 gene dose on glial reactivity and β-amyloid pathology in cognitively unimpaired individuals using PET, MRI, and plasma biomarkers.

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.