Shenpeng Li

This paper improves the temporal resolution of functional PET by integrating anatomical MRI knowledge to reduce noise and partial volume errors in brain metabolism mapping.

This study compares independent component analysis (ICA) and general linear modelling (GLM) for analyzing task and resting state fPET data, showing both methods can identify task-related brain activation.

The paper compares continuous infusion and bolus plus infusion radiotracer protocols for PET to improve temporal resolution, achieving 16-second glucose response mapping in the human brain.

This study combines simultaneous BOLD-fMRI and FDG-PET to measure task-evoked neuronal metabolism in the human visual cortex with high temporal resolution.