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  • ACTIVE INVESTIGATIONS Search for current projects using the investigator's name, institution, or keywords.
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Active Investigations

There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.

Principal Investigator  
Principal Investigator's Name: Ryan McCammon
Institution: University of Michigan
Department: Institute for Social Research
Country:
Proposed Analysis: We proposed to compare the relationship(s) among performance on a number of neuropsychological measures between ADNI and HCAP (Harmonized Cognitive Assessment Protocol), a sub study of 3,500 respondents from the Health and Retirement Study (HRS) designed to provide population monitoring of dementia prevalence in the elderly and near-elderly (age 65+) US population. Further, the presence of a diagnostic classification in the ADNI data will allow external validation and refinement of the diagnosis assignment protocol used in HCAP.
Additional Investigators  
Investigator's Name: David Weir
Proposed Analysis: We proposed to compare the relationship(s) among performance on a number of neuropsychological measures between ADNI and HCAP (Harmonized Cognitive Assessment Protocol), a sub study of 3,500 respondents from the Health and Retirement Study (HRS) designed to provide population monitoring of dementia prevalence in the elderly and near-elderly (age 65+) US population. Further, the presence of a diagnostic classification in the ADNI data will allow external validation and refinement of the diagnosis assignment protocol used in HCAP.
Investigator's Name: Ken Langa
Proposed Analysis: We proposed to compare the relationship(s) among performance on a number of neuropsychological measures between ADNI and HCAP (Harmonized Cognitive Assessment Protocol), a sub study of 3,500 respondents from the Health and Retirement Study (HRS) designed to provide population monitoring of dementia prevalence in the elderly and near-elderly (age 65+) US population. Further, the presence of a diagnostic classification in the ADNI data will allow external validation and refinement of the diagnosis assignment protocol used in HCAP.