Functional Magnetic Resonance Imaging Shows Potential for Predicting Individual Differences in Fatigue Vulnerability

Abstract

Fatigue from sleep loss exerts deleterious effects on group performance, and some individuals are more affected than others. Underlying pattern of cortical activation may partially account for such individual differences. The present research utilized fMRI procedures to examine the non-sleep-deprived cortical activation of a group of active-duty military pilots on whom the effects of sleep loss had previously been quantified& The pilots completed a Sternberg Working Memory Task (SWMT) alternately with a control task during 13-minute scans. Examination of the number of activated voxels in response to SWMT indicated that, as a group, the pilots were more similar to a group of fatigue-resistant non-pilots than to a group of fatigue vulnerable non-pilots. In addition, within the pilot group, the number of activated voxels was significantly related to the level of fatigue vulnerability on a simulator flight-performance task. Thus, it appears that baseline fMRI scans may be useful for predicting fatigue susceptibility.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2004
Accession Number
ADA424328

Entities

People

  • J. L. Caldwell
  • Jennifer K. Smith
  • John A. Caldwell
  • Mark George
  • Qiwen Mu

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Engineered Resilient Systems
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aviation Personnel
  • Data Analysis
  • Flight Crews
  • Flight Simulators
  • Human Factors Engineering
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Medical Personnel
  • Military Pilots
  • Neuroimaging
  • Pilots
  • Psychology
  • Simulations
  • Simulators
  • Vulnerability

Fields of Study

  • Psychology

Readers

  • Aviation Science / Aeronautics.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Circadian Sleep-Wake Regulation and Chronobiology