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The incidence of Alzheimer�s disease (AD) is threatening to reach epidemic levels internationally. It is a
progressive neurodegenerative disease with an insidious onset and no known treatment to stop its progression.
Age is the greatest risk factor for AD. As the population of individuals over the age of 65 in countries such as the
United States is expected to double in the upcoming years, predictions are that the incidence of AD could triple.
One of the greatest challenges being faced with this disorder is the accurate identification of individual afflicted
with this disease early in its course. MRI has been used to study AD for the past 20+ years and has contributed
greatly to our understanding of it. MRI provides an effective non-invasive means for looking into the human
body in-vivo and assessing health or disease. Recently, worldwide initiatives have been launched that include the
use MRI in an effort to find the best methods for the earliest diagnosis of AD and the assessment of treatment
efficacy. The use of MRI with AD has fostered an immense amount of development to produce better images
and tools to work with the images. Today we have the ability to image the brain in exquisite detail and to build
highly complicated network models of its inner workings. The knowledge that we gain through the continued
advancement of these methods should allow us to identify individuals on a trajectory towards developing AD at
earlier points thereby improving the prognosis as treatments become available.
Biography
Killiany completed his Ph.D. in Physiological Psychology in 1991 from Northeastern University and completed his postdoctoral studies
where he began working in Neuropsychology and MRI scanning at Boston University School of Medicine, Brigham and Women�s
Hospital and Massachusetts General Hospital. He is currently the Director of the Center for Biomedical Imaging at Boston University
School of Medicine. He has published more than 70 papers in reputed journals and serves as an ad hoc reviewer for a number of
scientific journals.
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