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Abstract #1353

Decreased posterior default mode network for depression patients

Hu Cheng 1 , Rui Yang 2 , Hongbo Zhang 2 , Xiaoping Wu 2 , Junle Yang 2 , Mingyue Ma 2 , Yanjun Gao 2 , Hongsheng Liu 2 , and Shengbin Li 2

1 Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, United States, 2 Xian Jiaotong University, Xi'an, Shanxi, China

In this study, we combined Independent Component Analysis (ICA) and seed based connectivity analysis to study the posterior DMN network between patients and normal controls, as well as pre-treatment and post-treatment conditions. Our results showed significant difference of the posterior default mode sub-network between major depression patients and normal controls. Specifically, normal controls exhibited higher connectivity between PCC and frontal/temporal regions. The treatment does improve the connectivity strength of patients, especially in the anti-correlated network. These differences were unlikely induced by difference in head motion.

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