scispace - formally typeset
Y

Yi-Cheng Long

Researcher at Central South University

Publications -  26
Citations -  598

Yi-Cheng Long is an academic researcher from Central South University. The author has contributed to research in topics: Medicine & Default mode network. The author has an hindex of 3, co-authored 14 publications receiving 182 citations. Previous affiliations of Yi-Cheng Long include Southwest University & Yale University.

Papers
More filters
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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

Changes of psychotic-like experiences and their association with anxiety/depression among young adolescents before COVID-19 and after the lockdown in China.

TL;DR: In this article, the authors investigated the effect of lockdown policies on the changes of psychotic-like experiences (PLEs) among adolescents and the possible association between changes in PLEs and changes in anxiety/depression symptoms.
Journal ArticleDOI

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.