Magnetic Resonance Imaging (MRI) and Decline of Aging Aviator Performance
This trial has been completed.
|Condition||age-related cognitive decline|
|Sponsor||Palo Alto Veterans Institute for Research|
|Start date||November 2002|
|End date||July 2011|
|Trial size||67 participants|
|Trial identifier||NCT01120860, 11097, TAYRNW0001/TAY0002|
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.
flight simulator performance summary score
time frame: yearly for up to 6 years
time frame: yearly
Salthouse processing speed measures
time frame: yearl
All participants from 45 years up to 100 years old.
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.
|Official title||MRI and Decline of Aging Aviator Performance|
|Principal investigator||Joy Taylor|
|Description||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.|
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