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Abstract #2828

The X-Guided Clustering Method and Its Application to Unbiased Detection of Differences in Functional Connectivity Networks

Gang Chen1, B. Douglas Ward2, Chunming Xie2, Wenjun Li2, Guangyu Chen2, Joseph S. Goveas3, Piero G. Antuono4, Shi-Jiang Li2

1Biophysics, Medical College of Wisconsin, Milwaukee, WI , United States; 2Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States; 3Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee, WI, United States; 4Neurology, Medical College of Wisconsin, Milwaukee, WI, United States


In resting-state functional MRI cross-group studies, the available techniques may bias the results in choosing the specified reference. We introduced an x-guided clustering method to solve this problem. The x-guided clustering method incorporates all of the subject groups by producing group difference information and then creating functional clusters. This method was applied to identify functional clusters that were significantly different between the amnestic mild cognitively impaired and cognitively normal subjects.