【论文】

[1]Xiang J, Tian C, Niu Y, 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: 4.

[2]Wang B, Li P, Li D, Xiang   J, et al. Increased Functional Brain Network Efficiency During   Audiovisual Temporal Asynchrony Integration Task in Aging[J]. Frontiers in   aging neuroscience, 2018, 10.(通讯作者)

[3]Niu Y, Wang B, Zhou M, Xiang J,   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.(通讯作者)

[4]Li Y, Huang M, Xiang J, et al.   Correlation of Interpedicular Distance with Radiographic Parameters,   Neurologic Deficit, and Posterior Structures Injury in Thoracolumbar Burst   Fractures[J]. World neurosurgery, 2018, 118: e72-e78.

[5]Wang B, Li T, Zhou M, Xiang   J, et al. The Abnormality of Topological Asymmetry in Hemispheric Brain   Anatomical Networks in Bipolar Disorder[J]. Frontiers in neuroscience, 2018,   12.

[6]Guo H, Yan P, Cheng C, Xiang   J, et al. fMRI classification method with multiple feature fusion based   on minimum spanning tree analysis[J]. Psychiatry research. Neuroimaging,   2018, 277: 14-27.

[7]Guo H, Li Y, Xu Y, Xiang J, et   al. Resting-State Brain Functional Hyper-Network Construction Based on   Elastic Net and Group Lasso Methods[J]. Frontiers in neuroinformatics, 2018,   12.

[8]Yang Y, Zhou M, Niu Y, Xiang J,   et al. Epileptic seizure prediction based on permutation entropy[J].   Frontiers in computational neuroscience, 2018, 12.(通讯作者)

[9]Li D, Li T, Niu Y, Xiang J, et   al. Reduced hemispheric asymmetry of brain anatomical networks in attention   deficit hyperactivity disorder[J]. Brain imaging and behavior, 2018: 1-16.

[10]Cui X. Xiang J, 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: 31.

[11]Wang B, Li T, Niu Y,Xiang   J,et al. Differences in neural responses to ipsilateral stimuli in   wide-view fields between face-and house-selective areas[J]. PloS one, 2018,   13(2): e0192532.

[12]Guo H, Zhang F, Chen J, Xiang   J,et al. Machine learning classification combining multiple features of a   hyper-network of fMRI data in Alzheimer's disease[J]. Frontiers in   neuroscience, 2017, 11: 615.(通讯作者)

[13]Wang B, Niu Y, Miao L, Xiang   J,et al. Decreased complexity in Alzheimer's disease: resting-state fMRI   evidence of brain entropy mapping[J]. Frontiers in aging neuroscience, 2017,   9: 378.(通讯作者)

[14]Li J, Guo H, Ge L,Xiang   J, et al. Mechanism of Cerebralcare Granule® for Improving Cognitive   Function in Resting-State Brain Functional Networks of Sub-healthy   Subjects[J]. Frontiers in neuroscience, 2017, 11: 410.

[15]Han X H, Quan L, Xiong X Y,   Xiang J,et al. A novel data clustering algorithm based on modified   gravitational search algorithm[J]. Engineering Applications of Artificial   Intelligence, 2017, 61: 1-7.

[16]Wang B, Zhao J, Wu Z, Xiang   J,et al. Eccentricity Effects on the Efficiency of Attentional Networks:   Evidence From a Modified Attention Network Test[J]. Perception, 2016, 45(12):   1375-1386.

[17]Xiang J,Jia X, Li H, et al. Altered   spontaneous brain activity in cortical and subcortical regions in Parkinson’s   disease[J]. Parkinson’s disease, 2016.

[18]Xiang J,Han X H, Duan F, et al. A   novel hybrid system for feature selection based on an improved gravitational   search algorithm and k-NN method[J]. Applied Soft Computing, 2015, 31:   293-307.

[19]Xiang J,Li C, Li H, et al. The   detection of epileptic seizure signals based on fuzzy entropy[J]. Journal of   neuroscience methods, 2015, 243: 18-25.

[20]Cao R, Wu Z, Li H, Xiang J,et al. Disturbed connectivity of EEG   functional networks in alcoholism: a graph-theoretic analysis[J]. Bio-medical   materials and engineering, 2014, 24(6): 2927-2936.

[21]Liang P, Xiang J,   Liang H, et al. Altered amplitude of low-frequency fluctuations in early and   late mild cognitive impairment and Alzheimer's disease[J]. Current Alzheimer   Research, 2014, 11(4): 389-398.

[22]Guo H, Cheng C, Cao X, Xiang   J,et al. Resting-state functional connectivity abnormalities in first-onset   unmedicated depression[J]. Neural regeneration research, 2014, 9(2): 153

[23]Xiang J, Guo H, Cao R, et al. An   abnormal resting-state functional brain network indicates progression towards   Alzheimer's disease[J]. Neural regeneration research, 2013, 8(30): 2789.

[24]Xiang J, Cao R, Li L. Emotion   recognition based on the sample entropy of EEG[J]. Bio-medical materials and   engineering, 2014, 24(1): 1185-1192.

【专利】

基于脑网络模块结构特征的功能磁共振影像数据分类方法(已授权)，专利号：201410101262.7；