H
Haiyan Zhou
Researcher at Beijing University of Technology
Publications - 44
Citations - 537
Haiyan Zhou is an academic researcher from Beijing University of Technology. The author has contributed to research in topics: Resting state fMRI & Task (project management). The author has an hindex of 10, co-authored 44 publications receiving 382 citations. Previous affiliations of Haiyan Zhou include Peking University.
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Journal ArticleDOI
Human Emotion Recognition with Electroencephalographic Multidimensional Features by Hybrid Deep Neural Networks
TL;DR: A hybrid deep neural network is constructed to deal with the EEG MFI sequences to recognize human emotional states where the hybridDeep Neural Networks combined the Convolution Neural Networks (CNN) and Long Short-Term-Memory (LSTM) Recurrent Neural networks (RNN).
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Changes in the brain intrinsic organization in both on-task state and post-task resting state.
Zhijiang Wang,Jiming Liu,Jiming Liu,Ning Zhong,Ning Zhong,Yulin Qin,Yulin Qin,Haiyan Zhou,Kuncheng Li +8 more
TL;DR: The present study provides further insights into the robustness and plasticity of the brain intrinsic organization over states, which may be the basis of memory and learning in the brain.
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Task and Resting-State fMRI Reveal Altered Salience Responses to Positive Stimuli in Patients with Major Depressive Disorder
Yang Yang,Ning Zhong,Kazuyuki Imamura,Shengfu Lu,Mi Li,Haiyan Zhou,Huaizhou Li,Xiaojing Yang,Zhijiang Wan,Gang Wang,Gang Wang,Bin Hu,Kuncheng Li,Kuncheng Li +13 more
TL;DR: Brain abnormalities synchronized across functional states in MDD patients can be evidenced by a combination of task and resting-state fMRI analyses, providing new evidence demonstrating impaired salience processing and resulting alterations in responses to positive stimuli in patients with major depressive disorder.
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Randomized EEG functional brain networks in major depressive disorders with greater resilience and lower rich-club coefficient.
TL;DR: A replicable randomization of the brain network is found in MDDs, characterized by more homogeneous degree distribution, greater resilience and lower rich-club coefficient, reflecting the reconfiguration of thebrain network caused by the reduction of hub nodes in MDD.
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More randomized and resilient in the topological properties of functional brain networks in patients with major depressive disorder.
TL;DR: Graph theory analysis showed that decreases were found in the small-worldness, clustering coefficient, local efficiency, and characteristic path length in the network of MDD group compared with HC group, which suggested the development toward randomization in the brain network in MDD.