Neuroperformance Imaging
Abstract
We have designed an appropriate PET imaging protocol that will allow us to differentiate regional metabolic activity between different sleep cycle periods. Pilot diffusion MRI data using phantoms has informed a new and more accurate mathematical model, CFD-MRI, for MR tractography. The analysis indicates the necessity of further investigations for better understanding and quantifying various artifacts in data collection. Using the simultaneous fMRI-EEG data techniques, brain regions of interest and their activity has been identified. The results of these studies clearly indicate changes in resting state brain network connectivity in the transition from alert wakefulness to sleep.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2013
- Accession Number
- ADA586623
Entities
People
- Alpay Ozcan
- Kenneth Wong
- Linda Larson-prior
- Seong K. Mun
Organizations
- Virginia Tech