Gang Chen1, Barney Douglas Ward1,
Chunming Xie1, Zhilin Wu1, Wenjun Li1,
Jennifer Jones2, Malgorzata Franczak2, Piero Antuono2,
Shi-Jiang Li1
1Department of Biophysics,, Medical
College of Wisconsin, Milwaukee, WI, United States; 2Department of
Neurology, Medical College of Wisconsin, Milwaukee, WI, United States
There
has been great interest in developing objective biologically based markers
that can be used to predict risk, diagnose, stage, or track the course and
treatment of dementia and other neurodegenerative diseases. Alzheimer disease
(AD) is the most common form of dementia. Mild cognitive impairment (MCI) is
a transitional state between normal aging and dementia, and is often
considered a risk factor for AD. In this study, we employed resting-state MRI
connectivity methods and the large-scale network analyses to discriminate
between AD, MCI and healthy control subjects.