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Abstract #3922

Diagnosing first-episode depression with high-order regional homogeneity

Li-Ming Hsu1, Yujie Liu1,2, Han Zhang1, Shijun Qiu3, and Dinggang Shen1

1Department of Radiology and BRIC, University of North Carolina at Chapel Hill, chapel hill, NC, United States, 2The First School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China, 3Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China

The brain is a dynamic biosystem where the regions communicate with each other in a time-varying and adaptive way. Recently, abnormally varied brain statuses in brain diseases have been demonstrated with dynamic functional connectivity (FC) and a newly developed technique, high-order FC, which measures synchronization of the FC dynamics, providing a valuable way to characterize high-level brain function. However, there is a lack of method in quantification of local synchronization of the FC dynamics, another important facet of the high-level brain functional organization that could underpin complex regional brain activities. To this end, we propose a new method called high-order regional homogeneity (high-order ReHo) to evaluate such complex organizations of the local FC dynamics. We demonstrated that such a metric is more sensitive compared to the traditional low-order ReHo approach in individualized depression classification.

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