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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: Adriana Lori
Institution: Emory University
Department: Department of Psychiatry and Behavioral Sciences
Country:
Proposed Analysis: Genetic study of neuropsychiatric symptoms in cognitively impaired individuals About 65% of individuals with Alzheimer’s disease (AD) experience some neuropsychiatric symptoms including apathy, depression, anxiety, delusions, hallucinations, sleep disturbances, and agitation. These neuropsychiatric symptoms are associated with greater caregiver burden and higher rate of institutionalization. Heritability of psychosis in AD was estimated to be 61%, but the genetic basis of neuropsychiatric symptoms in AD is not clear. We aim to evaluate the genetic contribution of neuropsychiatric symptoms in individuals with AD and mild cognitive impairment."
Additional Investigators  
Investigator's Name: ALiza Wingo
Proposed Analysis: Dr A. Wingo will oversee all the analyses and lead the writing of the manuscripts
Investigator's Name: Thomas Wingo
Proposed Analysis: Dr Wingo will oversee all the proposed analyses and lead the writing of the manuscripts
Investigator's Name: Ekaterina Gerasimov
Proposed Analysis: Dr Gerasimov will be responsible to perform the statistical analyses with the genetic data
Investigator's Name: Se Min Canon
Proposed Analysis: She will help with the statistical analyses in GWAs data
Investigator's Name: Yue Liu
Proposed Analysis: He will be supporting the statistical team
Investigator's Name: Jiaqi Liu
Proposed Analysis: She will perform statistical analyses of the IDA data
Investigator's Name: Selina Vattathil
Proposed Analysis: She will perform biostatistical analyses of the omics data