| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6034366 | NeuroImage | 2011 | 10 Pages |
Abstract
âºMRI combined with multivariate analysis accurately classifies AD patients from controls. âºA sensitivity of 90% and a specificity of 94% was achieved. âºGlobal and regional MRI measures in combination gave the best predictive accuracy. âºThe model shows potential in predicting conversion from MCI to AD. âºOur approach may allow disease related atrophy patterns to be obtained.
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Authors
Eric Westman, Andrew Simmons, Yi Zhang, J-Sebastian Muehlboeck, Catherine Tunnard, Yawu Liu, Louis Collins, Alan Evans, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona KÅoszewska, Hilkka Soininen, Simon Lovestone, Christian Spenger,