Accession Number:

ADA566645

Title:

Neuroperformance Imaging

Descriptive Note:

Annual rept. 20 Sep 2011-19 Sep 2012

Corporate Author:

VIRGINIA POLYTECHNIC INST AND STATE UNIV BLACKSBURG OFFICE OF SPONSORED PROGRAMS

Personal Author(s):

• Mun, Seong K.
• Larson-Prior, Linda
• Kenneth Wong,
• Ozcan, Alpay

Report Date:

2012-10-01

Pagination or Media Count:

47.0

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

Descriptors:

• *ELECTROENCEPHALOGRAPHY
• *MAGNETIC RESONANCE IMAGING
• *SLEEP
• ACCURACY
• ARTIFACTS
• BRAIN
• DATA ACQUISITION
• METABOLIC DISEASES

Subject Categories:

• Anatomy and Physiology
• Medicine and Medical Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE