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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