Friday, February 6, 2015

12. "Detecting Alzheimer's Disease"

Summary: Through tests of pupil dilation and cornea behavior, the authors were able to use data analysis to discover those who were probable to have Alzheimer's disease and/or dementia. By using measurements of pupils and range of motion, pupillary responses show notable differences and predict the sicknesses.

Key Facts:
"Even if the reported difference between patients with AD and normal subjects proves to be a result of non-pharmacological factors, it may still represent a potentially valuable diagnostic tool."
"Several letters suggest that our finding may have been a result of an increased permeability of the cornea in patients with probable AD. We agree that a change in permeability is one possible
mechanism."

Marx, Jeffrey, Sanjiv Kumar, Allen Thach, Tien Kiat-Winarko, Donald Frambach,
Adrian Treloar, Mandy Assin, Alastair Macdonald, Barrett Katz, Nunzio Pomara, Natraj Sitaram, L. Scinto, K. Daffner, D. Dressler, B. Ransil, D. Rentz, S. Weintraub, M. Mesulam, and H. Potter. "Detecting Alzheimer's Disease." JSTOR. American Association for the Advancement of Science, 17 Mar. 1995. Web. 31 Jan. 2015. <http://www.jstor.org/stable/2886714>.

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