Characterizing Alzheimer’s Disease using a Hypometabolic Convergence Index

This article introduces a hypometabolic convergence index (HCI) for the assessment of Alzheimer’s disease (AD), compares it to other biological, cognitive and clinical measures, and demonstrate its promise to predict clinical decline in mild cognitive impairment (MCI) patients using data from the AD...

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Detalhes bibliográficos
Main Authors: Chen, Kewei, Ayutyanont, Napatkamon, Langbaum, Jessica B.S., Fleisher, Adam S., Reschke, Cole, Lee, Wendy, Liu, Xiaofen, Bandy, Dan, Alexander, Gene E., Thompson, Paul M., Shaw, Leslie, Trojanowski, John Q., Jack, Clifford R., Landau, Susan M., Foster, Norman L., Harvey, Danielle J., Weiner, Michael W., Koeppe, Robert A., Jagust, William J., Reiman, Eric M.
Formato: Artigo
Idioma:Inglês
Publicado em: 2011
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3066300/
https://ncbi.nlm.nih.gov/pubmed/21276856
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2011.01.049
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