
@article{ref1,
title="Decreased dynamism of overlapping brain sub-networks in major depressive disorder",
journal="Journal of psychiatric research",
year="2020",
author="Chen, Nan and Shi, Jie and Li, Yongchao and Ji, Shanling and Zou, Ying and Yang, Lin and Yao, Zhijun and Hu, Bin",
volume="133",
number="",
pages="197-204",
abstract="Major Depressive Disorder (MDD) is increasingly recognized as a common brain  disorder with aberrant brain networks. Alterations in dynamic functional brain  networks have been widely reported in MDD. However, previous studies mainly focused  on detecting non-overlapping sub-networks/communities, neglecting the possibility  that one brain region may belong to multiple sub-networks/communities. In the  present work, we utilized tensor decomposition method to detect overlapping  communities and study the dynamism of overlapping sub-networks through 58 patients  with MDD and 63 age- and sex-matched healthy controls (HC). The strength vectors of  communities were calculated and two-sample t-test was performed to investigate the  statistical significance of the differences in dynamism of MDD and HC groups. We  found that communities detected in two groups were pairwise region-matching but  overlapped brain regions were almost totally different. We considered two  region-matching communities in the two groups as a sub-network. Compared to HCs, MDD  patients showed significantly decreased dynamism in five sub-networks which could be  functionally mapped to Visual Network (VN), Default Mode Network (DMN), Cognitive  Control Network (CCN), Bilateral Limbic Network (BLN) and Auditory Network (AN). The  results showed that MDD might only have a marginal effect on the holistic detection  of communities and the changes of overlapped brain regions in MDD patients might be  put down to the alteration of hubs. Further statistical analysis on nine  sub-networks showed decreased dynamism of five sub-networks in MDD patients, which  might help us achieve a better understanding of mechanism in MDD.<p /> <p>Language: en</p>",
language="en",
issn="0022-3956",
doi="10.1016/j.jpsychires.2020.12.018",
url="http://dx.doi.org/10.1016/j.jpsychires.2020.12.018"
}