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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: 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.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2011
Schlagworte:
Article
Online Zugang: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
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge