Imaging of Cognition, Learning, and Memory in Aging
|Study Design:||Observational Model: Cohort
Time Perspective: Cross-Sectional
|Official Title:||Imaging of Cognition, Learning, and Memory in Aging|
- Cognition as measured with cognitive evaluations [ Time Frame: cross sectional ]We will assess the relationship between the presence of amyloid and cognition as measured with standard cognitive and neuropsychological tests
Biospecimen Retention: Samples With DNA
|Study Start Date:||March 2011|
|Estimated Study Completion Date:||December 2021|
|Estimated Primary Completion Date:||December 2017 (Final data collection date for primary outcome measure)|
Participants aged 60-70
Participants age 60-70 will receive Florbetaben PET tracer to identify presence of amyloid burden.
This is a purely observational study. Results of the Florbetaben PET scan will be correlated with other observations.
Other Name: F-18 BAY
Participants aged 20-30
Younger participants will not undergo PET scanning that will be studied with other methods.
The basic approach to measuring the brain activity associated with a given cognitive process (or processes) is as follows: It is known that increases in brain neuronal activity are associated with local increases in energy metabolism. Under normal circumstances, increases in brain metabolism lead to local changes in blood oxygenation in venules and larger veins. This change in blood oxygenation can be detected imaging methods which are sensitive to the differences in magnetic state between oxygenated and deoxygenated hemoglobin.
The ultimate benefit of this research is to better understand how changes in both performance and the brain organization underlying that performance are affected by aging.
Please refer to this study by its ClinicalTrials.gov identifier: NCT01297114
|Contact: Oksana Tatarina, MAemail@example.com|
|United States, New York|
|Columbia University Medical Center||Recruiting|
|New York, New York, United States, 10032|
|Principal Investigator: Yaakov Stern, Ph.D.|
|Principal Investigator:||Yaakov Stern, PhD||Columbia University|