Optimizing Performance Through Sleep-Wake Homeostasis: Integrating Physiological and Neurobehavioral Data via Ambulatory Acquisition in Laboratory and Field Environments

Abstract

The objective of our current AFOSR research (FA9550-05-1-0293) is to evaluate whether cognitive task difficulty from increased performance demands on attention will interact with acute total sleep loss and manifest in EEG slow wave energy and absolute cerebral blood flow(fMRI) measures of sleep-wake homeostasis. The instrumentation for which we received DURIP funding has three major components, each of which markedly enhances the quality of research and research-related education via our AFOSR project. The three components are: (1) Compumedics USA Siesta 802 Wireless & Ambulatory Recording System for ambulatory physiological acquisition and quantitative signal processing; (2) Brain Amp MR Plus 32 and BrainVision Recorder Professional Software Package for the simultaneous acquisition of EEG and fMRI data in the laboratory; and expansion of electronic data archive with simultaneous acceleration of data processing.

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Document Details

Document Type
Technical Report
Publication Date
Apr 18, 2009
Accession Number
ADA529498

Entities

People

  • David F. Dinges

Organizations

  • University of Pennsylvania

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Biological Sciences
  • Blood Flow
  • Data Acquisition
  • Data Processing
  • Data Storage Systems
  • Department Of Defense
  • Education
  • Energy
  • Environment
  • Homeostasis
  • Instrumentation
  • Magnetic Resonance
  • Recording Systems
  • Signal Processing
  • Wave Power

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Research Science/Academic Research
  • Traumatic Brain Injury (TBI) and Cognitive Aging in the Guam and Border Populations Affected by Alzheimer's Disease and Tau-Associated Dementias.

Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems