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Yan-Song Liu

Researcher at Soochow University (Suzhou)

Publications -  14
Citations -  526

Yan-Song Liu is an academic researcher from Soochow University (Suzhou). The author has contributed to research in topics: Default mode network & Resting state fMRI. The author has an hindex of 3, co-authored 9 publications receiving 180 citations.

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Journal ArticleDOI

Reduced default mode network functional connectivity in patients with recurrent major depressive disorder.

TL;DR: It is found that default mode network functional connectivity remains a prime target for understanding the pathophysiology of depression, with particular relevance to revealing mechanisms of effective treatments, and reduced rather than increased FC within the DMN is found.
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Altered resting-state dynamic functional brain networks in major depressive disorder: Findings from the REST-meta-MDD consortium

TL;DR: The findings suggest that excessive temporal variations of brain FC, reflecting abnormal communications between large-scale bran networks over time, may underlie the neuropathology of MDD.
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Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns.

TL;DR: Two subtypes with distinct default mode network profiles exist in major depression and Hyper- & hypo-connectivity DMN subgroups have comparable clinical symptom variables, according to validated datasets.
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Disrupted hemispheric connectivity specialization in patients with major depressive disorder: Evidence from the REST-meta-MDD Project.

TL;DR: In this paper, a voxel-based whole-brain quantitative measure that reflects inter-and intra-hemispheric asymmetry was reported, which highlighted the idea that many brain networks contribute to broad clinical pathophysiology of MDD, and indicate that a lateralized, efficient and economical brain information processing system is disrupted in MDD.
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Brain structural alterations in MDD patients with gastrointestinal symptoms: Evidence from the REST-meta-MDD project.

TL;DR: In this article, the changes in regional gray matter volume (GMV) and gray matter density (GMD) in brain structure were found to correlate with the severity of major depressive disorder (MDD).