Magnetic Resonance Imaging (MRI) and Decline of Aging Aviator Performance

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT01120860
Recruitment Status : Completed
First Posted : May 11, 2010
Last Update Posted : February 28, 2017
Information provided by (Responsible Party):
Joy Taylor, Stanford University

May 7, 2010
May 11, 2010
February 28, 2017
November 2002
July 2011   (Final data collection date for primary outcome measure)
flight simulator performance summary score [ Time Frame: yearly for up to 6 years ]
z-score composite of executing ATC communications, avoiding traffic, monitoring engine malfunctions, visual approach and landing
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Complete list of historical versions of study NCT01120860 on Archive Site
  • CogScreen-AE [ Time Frame: yearly ]
    computerized battery (assesses processing speed, executive function, paired assoc memory, n-back task, psychomotor tracking
  • Salthouse processing speed measures [ Time Frame: yearl ]
    digit copy & pattern comparison
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Magnetic Resonance Imaging (MRI) and Decline of Aging Aviator Performance
MRI and Decline of Aging Aviator Performance
The primary purpose of this study is to apply state-of-the-art Magnetic Resonance Imaging (MRI) and Magnetic Resonance Spectroscopic Imaging (MRSI) techniques to measure changes over time in the brain.

We expect that MRI and MRSI techniques will be a useful adjunct in research efforts to understand individual differences in performance of a complex attention-demanding task, such as flying a plane or driving a car. Other predictors of change in performance of a complex task may include simple tests of processing speed and working memory, past training and recent practice of the task, and genetic risk factors for degenerative brain disease. In this project, we will examine whether baseline MR measures are as useful as longitudinal MR measures in predicting amount of change over time in task performance.

This research is part of a long-term effort to achieve earlier identification of individuals at risk of decline and ultimately minimize loss of function.

Observational Model: Cohort
Time Perspective: Prospective
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Retention:   Samples With DNA
frozen genomic DNA
Non-Probability Sample
active healthy pilots
Age-related Cognitive Decline
Device: MRI
MRI - routine imaging sequences, designed for anatomical quantification
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*   Includes publications given by the data provider as well as publications identified by Identifier (NCT Number) in Medline.
July 2011
July 2011   (Final data collection date for primary outcome measure)

Inclusion Criteria:

  • Subjects will be included if they have participated in the protocol "Age-Related Longitudinal Changes in Aviator Performance" and agree to participate in this protocol.

Exclusion Criteria:

  • Subjects will be excluded if they currently have a major neurological disease, unstable/untreated medical disease (such as untreated hypertension).
  • In consideration of the magnetic fields in which subjects will be placed for the MR scanning, we will also exclude subjects who are unable to safely and comfortably complete the scanning session. This includes individuals who are wearing any metal prosthesis or who have cardiac pacemakers or any other nonremovable metal objects.
  • Subjects reporting a history of severe claustrophobia or poorly controlled back pain will be excluded because it is unlikely they could comfortably remain still in the MRI scanner for the duration of the scan.
  • In addition, subjects who do not fit in the apparatus will also be excluded.
Sexes Eligible for Study: All
45 Years to 100 Years   (Adult, Senior)
Contact information is only displayed when the study is recruiting subjects
United States
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Joy Taylor, Stanford University
Palo Alto Veterans Institute for Research
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Principal Investigator: Joy Taylor Stanford University
Palo Alto Veterans Institute for Research
February 2017