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

This study has been completed.
Sponsor:
Information provided by (Responsible Party):
Joy Taylor, Stanford University
ClinicalTrials.gov Identifier:
NCT01120860
First received: May 7, 2010
Last updated: February 24, 2017
Last verified: February 2017

May 7, 2010
February 24, 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
Not Provided
Complete list of historical versions of study NCT01120860 on ClinicalTrials.gov 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
Not Provided
Not Provided
Not Provided
 
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
Observational Model: Cohort
Time Perspective: Prospective
Not Provided
Retention:   Samples With DNA
Description:
frozen genomic DNA
Non-Probability Sample
active healthy pilots
Age-related Cognitive Decline
Device: MRI
MRI - routine imaging sequences, designed for anatomical quantification
Not Provided
Not Provided

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Completed
67
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)
Yes
Contact information is only displayed when the study is recruiting subjects
United States
 
 
NCT01120860
TAYRNW0001/TAY0002
11097
No
Not Provided
Not Provided
Not Provided
Joy Taylor, Stanford University
Palo Alto Veterans Institute for Research
Not Provided
Principal Investigator: Joy Taylor Stanford University
Palo Alto Veterans Institute for Research
February 2017

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP