Julie C. Price

This study characterizes human cerebral cortex metabolic connectivity using PET-FDG data, finding a superior-inferior gradient driven by low-frequency signals.

This study uses EEG-PET-MRI to show how hemodynamic and metabolic dynamics change during wakefulness and NREM sleep, revealing coupled temporal patterns and distinct network activity.

This study shows that incorrect baseline modeling in fPET-FDG can create false metabolic activity patterns, affecting GLM analyses.

The paper introduces a standardized nomenclature for PET-based molecular connectivity and covariance to improve reproducibility and interpretation across imaging modalities and radiotracers.

This study shows that dopamine release in the ventral striatum is linked to reward learning, not just reward processing, using combined PET and fMRI in humans.