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Updated: Jun 16, 2026

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
Published on: November 14, 2017
Predicting dementia: role of dementia risk indices
Deborah E Barnes1, Kristine Yaffe
1Assistant Professor of Psychiatry, University of California, San Francisco, San Francisco VA Medical Center, 4150 Clement Street, 151R, San Francisco, CA 94121, USA.
None:
There are currently more than 5 million people in the USA living with Alzheimer's disease and other forms of dementia, and prevalence is expected to triple over the next 40 years. As new strategies for prevention and treatment are developed, it will be critically important to be able to identify older adults who do not currently have dementia but have a high risk of developing symptoms within a few years so that they can be targeted for monitoring, prevention and early treatment. In other fields, prognostic models and risk indices are often used to identify high-risk individuals (e.g., Framingham Heart Index and Breast Cancer Risk Assessment Tool). The objective of this paper is to describe the development of Dementia Risk Indices and to discuss the potential for these tools to be incorporated into clinical and research settings for the identification of individuals with a high risk of dementia.
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