ADNI | Active Investigations

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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:	An-ping Shi
Institution:	Tangdu Hospital,
Department:	Department of Radiology & Functional and Molecular
Country:
Proposed Analysis:	Resting-state functional connectivity (RSFC) patterns of the human brain show unique inherent or intrinsic characteristics, similar to a fingerprint. There is significant interest in using RSFC to predict human behavior. Inspired by previous RSFC fingerprinting studies, we want to adopt whole-brain RSFC as discriminative features to predicted the MoCA scores in 300 individuals with AD.
Additional Investigators
Investigator's Name:	Sheng-xia Tang
Proposed Analysis:	Resting-state functional connectivity (RSFC) patterns of the human brain show unique intrinsic characteristics, similar to a fingerprint. There is significant interest in using RSFC to predict human behavior. Inspired by previous RSFC fingerprinting studies, the present study examined whether we adopted whole-brain RSFC patterns as discriminative features to classify and predict cognitive impairment related to type 2 diabetes mellitus (T2DM) with a high degree of accuracy.