(From left) Doctoral student Hannah Yamagata, research assistant professor Kushol Gupta, and postdoctoral fellow Marshall Padilla holding 3D-printed models of nanoparticles.
(Image: Bella Ciervo)
PHILADELPHIA - A new measurement tool can identify cognitively normal adults who are at high risk for cognitive decline, according to a new study by collaborators at the Perelman School of Medicine at the University of Pennsylvania and Harvard Medical School. The study is published in the December 21, 2011, online issue of Neurology®, the medical journal of the American Academy of Neurology.
The team looked at measurements of cortical thickness in the brain, an indicator of brain atrophy usually due to loss of neurons or their connections. Using MRI scans, they measured cortical thickness in several brain regions that had previously been shown to be associated with the injury due to early Alzheimer’s disease. In this case, these measurements were obtained in cognitively normal adults who were followed over time, allowing the researchers to assess whether cortical thinning in these regions tracked with their cognitive abilities.
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Kim Menard
(From left) Doctoral student Hannah Yamagata, research assistant professor Kushol Gupta, and postdoctoral fellow Marshall Padilla holding 3D-printed models of nanoparticles.
(Image: Bella Ciervo)
Jin Liu, Penn’s newest economics faculty member, specializes in international trade.
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