Magnetic Resonance Imaging (MRI) and Decline of Aging Aviator Performance
Focus of Study: Apply State-of-the-art MRI Techniques to Measure Age-related Changes Over Time in the Brain.
|Study Design:||Observational Model: Cohort
Time Perspective: Prospective
|Official Title:||MRI and Decline of Aging Aviator Performance|
- flight simulator performance summary score [ Time Frame: yearly for up to 6 years ] [ Designated as safety issue: No ]z-score composite of executing ATC communications, avoiding traffic, monitoring engine malfunctions, visual approach and landing
- CogScreen-AE [ Time Frame: yearly ] [ Designated as safety issue: No ]computerized battery (assesses processing speed, executive function, paired assoc memory, n-back task, psychomotor tracking
- Salthouse processing speed measures [ Time Frame: yearl ] [ Designated as safety issue: No ]digit copy & pattern comparison
Biospecimen Retention: Samples With DNA
|Study Start Date:||November 2002|
|Study Completion Date:||July 2011|
|Primary Completion Date:||July 2011 (Final data collection date for primary outcome measure)|
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.
Please refer to this study by its ClinicalTrials.gov identifier: NCT01120860
|United States, California|
|VA Palo Alto Health Care System|
|Palo Alto, California, United States, 94304|
|Principal Investigator:||Joy Taylor||Stanford University|