Guangyu Chen1,
Chunming Xie1, Guangyu Chen1, Wenjun Li1, B.
Douglas Ward1, Jennifer L. Jones2, Malgorzata Franczak2,
Piero G. 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
Data from 65 Alzheimer's disease and 136 cognitively normal subjects were included in the study. We compared Alzheimer's disease classification techniques, using structural and resting-state functional MRI biomarkers. When the RfMRI classification result agreed with the structural MRI classification result, the subjects were classified with 90% accuracy. The incongruous classification results may predict disease conversion or treatment response.