5 Papers
7 Citations
Yan Chen is an academic researcher from Zhejiang Chinese Medical University. The author has contributed to research in topics: Default mode network & Posterior cingulate. The author has an hindex of 3, co-authored 4 publications.
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Papers
Interhemispheric functional connectivity for Alzheimer’s disease and amnestic mild cognitive impairment based on the triple network model
Zhengluan Liao,Yunfei Tan,Yaju Qiu,Junpeng Zhu,Yan Chen,Sisi Lin,Minghao Wu,Yan-ping Mao,Jiao-jiao Hu,Zhongxiang Ding,Enyan Yu +10 more
TL;DR: In this article, the authors explored the differences in interhemispheric functional connectivity in patients with Alzheimer's disease (AD) and amnestic mild cognitive impairment (aMCI) based on a triple network model consisting of the default mode network, salience network, and executive control network.
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Altered dynamic intrinsic brain activity of the default mode network in Alzheimer’s disease: A resting-state fMRI study
TL;DR: Disrupted dynamic IBA in the DMN might be an important characteristic of AD and could be a potential biomarker for the diagnosis or prognosis of AD.
Psychiatric diagnoses and their influencing factors in patients complaining of sleep problems: A study of a psychiatric consultation-liaison service.
TL;DR: The study showed that recognition rate of psychiatric disorders in inpatients with sleep problems was very low and a course >1 month and sleep–wake rhythm disturbances were associated with increased risks of disorders and could be used as indicators by nonpsychiatric physicians to improve diagnoses.
5
Preventive effects of Haishe capsules on the conversion of amnestic mild cognitive impairment to Alzheimer’s disease
Enyan Yu,Zhengluan Liao,Yunfei Tan,Yaju Qiu,Junpeng Zhu,Meifang Shi,Hong Wang,Yan Chen,Sisi Lin,Minghao Wu +9 more
TL;DR: Haishe capsules not only effectively maintain memory and cognitive function, but also delay the conversion from aMCI to Alzheimer's disease.
2
High-sensitivity neuroimaging biomarkers for the identification of amnestic mild cognitive impairment based on resting-state fMRI and a triple network model
Enyan Yu,Zhengluan Liao,Yunfei Tan,Yaju Qiu,Junpeng Zhu,Zhang Han,Jue Wang,Xinwei Wang,Hong Wang,Yan Chen,Qi Zhang,Yumei Li,Dewang Mao,Zhongxiang Ding +13 more
TL;DR: This study focused on the “triple networks” concept, a recently proposed higher-order functioning-related brain network model that includes the default-mode network (DMN), salience network (SN), and executive control network (ECN) and found changes observed in the triple networks may be used as sensitive neuroimaging biomarkers for the early detection of aMCI.