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

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2012
Accession Number
ADA566645

Entities

People

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

Organizations

  • Virginia Tech

Tags

Communities of Interest

  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Biomedical Research
  • Brain
  • Brain Injuries
  • Computational Fluid Dynamics
  • Computational Science
  • Diseases And Disorders
  • Health Services
  • Mathematical Analysis
  • Mathematical Models
  • Medical Personnel
  • Neuroimaging
  • Neurosciences
  • Three Dimensional

Fields of Study

  • Medicine

Readers

  • Circadian Sleep-Wake Regulation and Chronobiology
  • Computational Modeling and Simulation
  • Medical Imaging.