Zhen,Z.
Title: Associate Professor
Research: The neural basis of visual perception
Tel: (8610)58802785
Address: 19,Xinjiekouwai Street
Postcode: 100875
Email: zhenzonglei@bnu.edu.cn
Webpage: https://github.com/BNUCNL

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Research Interests

I use functional magnetic resonance imaging (fMRI), structural and quantitative MRI, transcriptome, behavioural, as well as computational modelling to study the neural basis of visual perception. My research focuses on understanding: (I). The cortical representations & computations that subserve visual recognition; (II). The role of gene expression, microanatomical and connectivity in shaping cortical functional organization; (III). How visual function and architecture change across development. Moreover, I develop neuroinformatics methods and tools for analyzing neuroimaging data.
 

Education

[1] 2007: Ph.D. in Computer Applied Technology, Institute of Automation, Chinese Academy of Sciences, Beijing. Dissertation: Multivariate Statistical Analysis of Functional MRI Data. Supervisor: Prof. Jie Tian
[2] 2004: M.S. in Mechatronic Engineering, Tianjin University, Tianjin. Dissertation: A Centralized-control Robotics Soccer Strategy System. Supervisor: Prof. Chen Zhao
[3] 2001: B.S. with honors in Mechatronic Engineering, Tianjin University, Tianjin.
 

Academic Appointments

[1] 2015 - Present: Associate Professor, Beijing Normal University, Beijing
[2] 2016 - 2017: Visiting Scholar, Department of Psychology, Stanford University
[3] 2007 - 2015: Assistant Professor, Beijing Normal University, Beijing
 

Peer Reviewed Publications († equal contribution, * corresponding author)

[1] Tian X, Wang R, Zhao Y, Zhen Z, Song Y*, Liu J*. 2019. Multi-item discriminability pattern to faces in developmental prosopagnosia reveals distinct mechanisms of face processing. Cerebral Cortex. DOI:10.1093/cercor/bhz289
[2] Liu X, Zhen Z*, Yang A, Bai H, Liu J.*, 2019. A manually denoised audio-visual movie watching fMRI data in studyforrest dataset. Scientific Data, 6:295
[3] Natu VS, Gomez J, Barnett M, Jeska B, Kirilina E, Jaeger C, Zhen Z, Cox S, Weiner KS, Weiskopf N, Grill-Spector K.*, 2019. Apparent thinning of human visual cortex during childhood is associated with myelination. Proceedings of the National Academy of Sciences of the United States of America, 116(41): 20750–20759.
[4] Gomez J, Zhen Z*, Weiner KS, 2019. Human visual cortex is organized along two genetically opposed hierarchical gradients with unique developmental and evolutionary origins. PLoS Biology, 17(7): e3000362.
[5] Grotheer M, Zhen Z, Lerma-Usabiaga G, Grill-Spector K*, 2019. Separate lanes for math and reading in the white matter highways of the human brain. Nature Communication, 10(1):3675.
[6] Huang T, Chen X, Jiang J, Zhen Z*, Liu J*, 2019. A probabilistic atlas of the human motion complex built from large-scale functional localizer data. Human Brain Mapping. 40(12): 10.1002/hbm.24610.
[7] Zhao Y, Zhen Z, Liu X, Song Y*, Liu J.*, 2018. The neural network for face recognition: Insights from an fMRI study on developmental prosopagnosia. NeuroImage, 169:151-161.
[8] Zhen, Z., Kong, X.-Z., Huang, L., Yang, Z., Wang, X., Hao, X., Huang, T., Song, Y. and Liu, J. *, 2017. Quantifying the variability of scene-selective regions: Interindividual, interhemispheric, and sex differences. Human Brain Mapping, 38: 2260–2275.
[9] Kong XZ, Wang X, Pu Y, Huang L, Hao X, Zhen Z, Liu J*, 2017. Human navigation network: the intrinsic functional organization and behavioral relevance. Brain Structure & Function, 222(2):749-764. 
[10] Kong, X.Z., Song, Y., Zhen, Z., Liu, J.*, 2017. Genetic variation in S100B modulates neural processing of visual scenes in Han Chinese. Cerebral Cortex, 27(2):1326-1336.
[11] Hao X, Huang Y, Li X, Song Y, Kong X, Wang X, Yang Z, Zhen Z, Liu J*. Structural and functional neural correlates of spatial navigation: a combined voxel-based morphometry and functional connectivity study, 2016. Brain and Behavior, 6(12): e00572.
[12] Wang, X., Song, Y., Zhen, Z., Liu, J.*, 2016. Functional integration of the posterior superior temporal sulcus correlates with facial expression recognition. Human Brain Mapping, 37(5): 1930–1940.
[13] Huang, L., Huang, T., Zhen, Z.*, Liu, J.*, 2016. A test-retest dataset for assessing long-term reliability of brain morphology and resting-state brain activity. Scientific Data 3, 160016.
[14] Huang, L., Zhou, G., Liu, Z., Dang, X., Yang, Z., Kong, X.Z., Wang, X., Song, Y., Zhen, Z.*, Liu, J.*, 2016. A multi-atlas labeling approach for identifying subject-specific functional regions of interest. PLoS ONE 11, e0146868.
[15] Wang, X.†, Zhen, Z.†, Song, Y., Huang, L., Kong, X., Liu, J.*, 2016. The hierarchical structure of the face network revealed by its functional connectivity pattern. The Journal of Neuroscience 36, 890-900.
[16] Yang, Z.†, Zhen, Z.†, Huang, L., Kong, X.Z., Wang, X., Song, Y., Liu, J.*, 2016. Neural univariate activity and multivariate pattern in the posterior superior temporal sulcus differentially encode facial expression and identity. Scientific Reports 6, 23427.
[17] Kong X.Z., Liu Z., Huang L., Wang X., Yang Z., Zhou G., Zhen Z.*, Liu J.*, 2015. Mapping individual brain networks using statistical similarity in regional morphology from MRI. PLoS ONE. 10(1): e0141840.
[18] Zhen Z.†, Yang Z.†, Huang L., Kong X.Z., Wang X., Dang X., Huang Y., Song Y., Liu J.*, 2015. Quantifying interindividual variability and asymmetry of face-selective regions: A probabilistic functional atlas. NeuroImage, 113:13-25.
[19] Kong F.†, Zhen Z.†, Li J., Huang L., Wang X., Song Y., Liu J.*, 2014. Sex-related neuroanatomical basis of emotion regulation ability. PLoS ONE, 9(5): e97071.
[20] Kong X.Z.†, Zhen Z.†, Li X., Lu H., Wang R., Liu L., He Y., Zang Y., Liu J.*, 2014. Individual differences in impulsivity predict head motion during magnetic resonance imaging, PLoS ONE, 9(8): e104989.
[21] Kong X.Z., Wang X., Huang L., Pu Y., Yang Z., Dang X., Zhen Z.*, Liu J., 2014. Measuring individual morphological relationship of cortical regions. Journal of Neuroscience Methods, 237:103-107.
[22] Zhen Z., Fang H., Liu J.*, 2013. The hierarchical brain network for face recognition. PLoS ONE, 8(3): e59886.
[23] Huang Y., Zhen Z., Song Y., Zhu Q., Wang S., Liu J.*, 2013. Motor training increases the stability of activation patterns in the primary motor cortex. PLoS ONE, 8(1): e53555.
[24] Xu R., Zhen Z.*, Liu J., 2010. Mapping informative clusters in a hierarchical framework of fMRI multivariate analysis, PLoS ONE, 5(11): e15065. 
[25] Zhu Q., Song Y., Hu S., Li X., Tian M., Zhen Z., Dong Q., Kanwisher N., Liu J.*, 2010. Inheritability of the specific cognitive ability of face perception, Current Biology, 20(2):137-142.
[26] Hu S., Bu Y., Song Y., Zhen Z., Liu J.*, 2009. Dissociation of attention and intention in human posterior parietal cortex: an fMRI study, European Journal of Neuroscience, 29(10):2083-2091.
[27] Zhen Z., Tian J.*, Zhang H., 2008. Adaptive integration of local region information to detect fine-scale brain activity patterns, Science in China Series E, 51(11):1980-1989.
[28] Zhen Z., Tian J.*, Zhang H., 2007. Finer discrimination of brain activation with local multivariate distance, Progress in Natural Science, 17(22):1508-1514.