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                    XIANG Jie

                    NameXIANG Jie

                    GenderFemale

                    E-mail: xiangjie@tyut.edu.cn

                    Major Selection: Computer Application Technology

                    Research DirectionBrain Science and Intelligent Computing

                     

                    Jie Xiang, female, PhD, professor and doctoral supervisor, the director of the Computer Foundation Department of the College of Information and Computer, Taiyuan University of Technology. Senior member of China Computer Federation, the director of Shanxi Computer Federation, the member of Shanxi Work Committee of MOOC League of computer education in China, the member of information branch of Shanxi Provincial Association of Experts and Scholars. The reviewer on Transactions on Biomedical Engineering, J Neurosci Methods, Neural Regeneration Research, Journal on Communications and other journals ,etal.

                     

                    Publication:

                    [1] Xiang Jie, Tian Cheng, Niu Yan, et al. Abnormal Entropy Modulation of the EEG Signal in Patients With Schizophrenia During the Auditory Paired-Stimulus Paradigm[J]. Frontiers in Neuroinformatics, 2019,13.(SCI, IF=3.33)

                    [2] Xiang Jie, Xue Jiayue, Guo Hao, et al. Graph-based network analysis of resting-state fMRI: test-retest reliability of binarized and weighted networks[J]. Brain Imaging and Behavior, 2019.(SCI, IF=3.79)

                    [3] Zhou Mengni, Tian Cheng, Caorui, et al. Epileptic Seizure Detection Based on EEG Signals and CNN[J]. Frontiers in Neuroinformatics, 2018, 12.(Correspondence Author; SCI, IF=3.33)

                    [4] Wang Bin , Li Peizhen , Li Dandan , et al. Increased Functional Brain Network Efficiency During Audiovisual Temporal Asynchrony Integration Task in Aging[J]. Frontiers in Aging Neuroscience, 2018, 10.(Correspondence Author; SCI, IF=4.145)

                    [5] Niu Yan , Wang Bin , Zhou Mengni , et al. Dynamic Complexity of Spontaneous BOLD Activity in Alzheimer’s Disease and Mild Cognitive Impairment Using Multiscale Entropy Analysis[J]. Frontiers in Neuroscience, 2018, 12.(Correspondence Author; SCI, IF=3.614)

                    [6] Guo Hao , Yan Pengpeng , Cheng Chen , et al. fMRI classification method with multiple feature fusion based on minimum spanning tree analysis[J]. Psychiatry Research: Neuroimaging, 2018, 277:14-27.(Correspondence Author; SCI, IF=2.883)

                    [7] Yanli Yang , Mengni Zhou , Yan Niu , et al. Epileptic Seizure Prediction Based on Permutation Entropy[J]. Frontiers in Computational Neuroscience, 2018, 12.(Correspondence Author; SCI, IF=2.182)

                    [8] Li Dandan , Li Ting , Niu Yan, Xiang Jie, et al. Reduced hemispheric asymmetry of brain anatomical networks in attention deficit hyperactivity disorder[J]. Brain Imaging and Behavior, 2018(2):1-16.(SCI, IF=3.79)

                    [9] Xiaohong Cui , Jie Xiang , Hao Guo , et al. Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls With Subnetwork Selection and Graph Kernel Principal Component Analysis Based on Minimum Spanning Tree Brain Functional Network[J]. Frontiers in Computational Neuroscience, 2018, 12.(SCI, IF=2.182)

                    [10] Hao Gao , Mengna Qin , Junjie Cen et al. Machine-Learning Classifier for Patients with Major Depressive Disorder: Multifeature Approach Based on a High-Order Minimum Spanning Tree Functional Brain Network[J]. Computational and Mathematical Methods in Medicine, 2017, 2017:1-14.(Correspondence Author; SCI, IF=1.127)

                    [11] Xiang Jie, Jia Xiuqin, Li Huizhuo, et al.Altered Spontaneous Brain Activity in Cortical and Subcortical Regions in Parkinson’s Disease[J]. Parkinsons Disease, 2016.(SCI, IF=1.847)

                    [12] Xiang Jie , Li Conggai , Li Haifang , et al. The detection of epileptic seizure signals based on fuzzy entropy[J]. Journal of Neuroscience Methods, 2015, 243:18-25.(SCI, IF=2.425)

                     

                    Recent Projects:

                    [1] National Natural Science Foundation of China, 6187023623, The research on modling and analysis of multi-scale dynamic brain network of Alzheimer’s disease, 2019/01-2022/12

                    [2] Shanxi Province Key Research and Development Project, 201803D421047, The research on early intelligent detection of Alzheimer's disease based on multi-scale dynamic brain network, 2019/01-2021/12

                    [3] National Natural Science Foundation of China, 61373101, Multimodal brain function complex network analysis method and application research, 2014/01-2017/12

                    [4] Shanxi province science and technology research project, 20140321002-01, based on brain network depression diagnosis system and application, 2014/01 -2016/12

                    [5] Shanxi Province Study Fund Project, 2016-037, Nonlinear analysis method and application research based on MRI data, 2016/06-2019/09

                    [6] National Science and Technology Support Program, 153210287-C, Sanjin digital cultural tourism key support technology research, 2015/07-2017/12

                    [7] National Natural Science Foundation of China, 163210201-C, Resting function brain network analysis and modeling key technology research and application

                    [8] National Natural Science Foundation of China, 632201, Depression fMRI data analysis methods and auxiliary diagnostic treatment model study, 2012/01-2015/12

                    [9] National Natural Science Foundation of China, 61402318, Multi-scale brain function network modeling method based on anatomical distance and node similarity, 2015/01 - 2017/12

                    [10] Shanxi Provincial Basic Research Program Youth Fund Project, 2015021090, Early diagnosis of Alzheimer's disease based on visual spatial attention network detection, 2015/01 - 2017/12

                    [11] The doctoral program of higher education of doctoral programs, 153210019-C, Multimodal brain function complex network analysis methods and application research, 2014/01 - 2016/12

                     

                    Patent:

                    The fMRI data classification methods based on structural characteristics of brain network module, ZL201410101262.7, 2014.03

                     

                    ?Taiyuan University of Technology

                    Taiyuan University of Technology,No.79 West Street Yingze,Taiyuan,Shanxi,P.R.China 030024

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