Xi-Nian Zuo, Ph.D.

Affiliations: 
2002-2005 School of Mathematics Beijing Normal University, China, Beijing, Beijing Shi, China 
 2006-2008 State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University, China, Beijing, Beijing Shi, China 
 2008-2010 School of Medicine New York University, New York, NY, United States 
 2010- Institute of Psychology Chinese Academic Sciences, China 
Area:
Applied Mathematics, Neuroimaging, Neuroscience
Website:
http://zuolab.psych.ac.cn
Google:
"Xi-Nian Zuo"
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SNBCP
Cross-listing: MathTree

Collaborators

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Randy L. Buckner collaborator
Olaf Sporns collaborator
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Publications

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Scopel Hoffmann M, Moore TM, Kvitko Axelrud L, et al. (2022) Reliability and validity of bifactor models of dimensional psychopathology in youth. Journal of Psychopathology and Clinical Science. 131: 407-421
Zhang H, Li J, Su X, et al. (2022) Growth charts of brain morphometry for preschool children. Neuroimage. 119178
Deng K, Yue JH, Xu J, et al. (2021) Impaired robust interhemispheric function integration of depressive brain from REST-meta-MDD database in China. Bipolar Disorders
Bridgeford EW, Wang S, Wang Z, et al. (2021) Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. Plos Computational Biology. 17: e1009279
Yang H, Chen X, Chen ZB, et al. (2021) Disrupted intrinsic functional brain topology in patients with major depressive disorder. Molecular Psychiatry
Gong ZQ, Gao P, Jiang C, et al. (2021) DREAM : A Toolbox to Decode Rhythms of the Brain System. Neuroinformatics
Liang S, Deng W, Li X, et al. (2020) Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns. Neuroimage. Clinical. 28: 102514
Gao J, Chen G, Wu J, et al. (2020) Reliability map of individual differences reflected in inter-subject corre-lation in naturalistic imaging. Neuroimage. 117277
Arnold TC, You Y, Ding M, et al. (2020) Functional connectome analyses reveal the human olfactory network organization. Eneuro
Zhang L, Zuo XN, Ng KK, et al. (2020) Distinct BOLD variability changes in the default mode and salience networks in Alzheimer's disease spectrum and associations with cognitive decline. Scientific Reports. 10: 6457
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