Y
Yonggui Yuan
Researcher at Southeast University
Publications - 200
Citations - 5172
Yonggui Yuan is an academic researcher from Southeast University. The author has contributed to research in topics: Major depressive disorder & Medicine. The author has an hindex of 34, co-authored 163 publications receiving 3907 citations. Previous affiliations of Yonggui Yuan include Nanjing Medical University.
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Journal ArticleDOI
Reduced default mode network functional connectivity in patients with recurrent major depressive disorder.
Chao-Gan Yan,Xiao Chen,Le Li,Francisco X. Castellanos,Tongjian Bai,Qijing Bo,Jun Cao,Guanmao Chen,Ning-Xuan Chen,Wei Chen,Chang Cheng,Yu-Qi Cheng,Xi-Long Cui,Jia Duan,Yiru Fang,Qiyong Gong,Wenbin Guo,Zheng-Hua Hou,Lan Hu,Li Kuang,Feng Li,Kaiming Li,Tao Li,Yan-Song Liu,Zhening Liu,Yi-Cheng Long,Qing-Hua Luo,Hua-Qing Meng,Daihui Peng,Hai-Tang Qiu,Jiang Qiu,Yue-Di Shen,Yu-Shu Shi,Chuanyue Wang,Fei Wang,Kai Wang,Li Wang,Xiang Wang,Ying Wang,Xiao-Ping Wu,Xinran Wu,Chunming Xie,Guangrong Xie,Hai-Yan Xie,Peng Xie,Xiufeng Xu,Hong Yang,Jian Yang,Jia-Shu Yao,Shu-Qiao Yao,Yingying Yin,Yonggui Yuan,Aixia Zhang,Hong Zhang,Kerang Zhang,Lei Zhang,Zhijun Zhang,Ru-Bai Zhou,Yi-Ting Zhou,Jun-Juan Zhu,Chao-Jie Zou,Tian-Mei Si,Xi-Nian Zuo,Jing-Ping Zhao,Yu-Feng Zang +64 more
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
Topologically Convergent and Divergent Structural Connectivity Patterns between Patients with Remitted Geriatric Depression and Amnestic Mild Cognitive Impairment
Feng Bai,Ni Shu,Yonggui Yuan,Yongmei Shi,Hui Yu,Di Wu,Jinhui Wang,Mingrui Xia,Yong He,Zhijun Zhang +9 more
TL;DR: This study provides direct evidence for the association of a great majority of convergent and a minority of divergent connectivity of WM structural networks between RGD and aMCI patients, which may lead to increasing attention in defining a population at risk of AD.
Journal ArticleDOI
Default-mode network activity distinguishes amnestic type mild cognitive impairment from healthy aging: A combined structural and resting-state functional MRI study
Feng Bai,Zhijun Zhang,Hui Yu,Yongmei Shi,Yonggui Yuan,Yonggui Yuan,Wanlin Zhu,Wanlin Zhu,Xiangrong Zhang,Yun Qian +9 more
TL;DR: The impairment of posterior cingulate and precuneus could be an important marker to distinguish aMCI from healthy aging in the resting-state and the increased regional homogeneity changes would be consistent with compensation for damage to the medial temporal regions and limbic structures, perhaps by recruitment of alternative regions.
Journal ArticleDOI
Abnormal resting-state functional connectivity of posterior cingulate cortex in amnestic type mild cognitive impairment
TL;DR: Resting-state connectivity disturbance of PCC-temporal cortex may be a central role in cognitive deficit in aMCI patients and this would be consonant with the recruitment of compensatory mechanisms and the process of offset functional impairments appearing as neuropathologic develops.
Journal ArticleDOI
Abnormal functional connectivity of hippocampus during episodic memory retrieval processing network in amnestic mild cognitive impairment.
Feng Bai,Zhijun Zhang,David R. Watson,Hui Yu,Yongmei Shi,Yonggui Yuan,Yonggui Yuan,Yu-Feng Zang,Chaozhe Zhu,Yun Qian +9 more
TL;DR: Early changes in functional connectivity involving the hippocampus may yield important new data to predict whether a patient will eventually develop AD, because aMCI is a putative prodromal syndrome to Alzheimer's disease (AD).