Professor | Zai-Xu Cui | Asia Growth Partners

	Upload Avatar (500 x 500)
Name	Zai-Xu Cui
Contact Information	{'en': 'cuizaixu(at)cibr.ac.cn', 'zh': 'cuizaixu(at)cibr.ac.cn', 'de': 'cuizaixu(at)cibr.ac.cn'}
Language ability	English, Chinese
Province	Beijing

Upload Avatar (500 x 500)

Name

Zai-Xu Cui

Contact Information

{'en': 'cuizaixu(at)cibr.ac.cn', 'zh': 'cuizaixu(at)cibr.ac.cn', 'de': 'cuizaixu(at)cibr.ac.cn'}

Language ability

English, Chinese

Province

Beijing

University/Lab Affiliation and Title	Chinese Institute for Brain Research, Beijing
Faculty	Brain Science and Anthropology
Academic Background & Achievements	2011.09-2017.07 Ph.D.: Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning 2007.09-2011.07 Bachelor's: Anhui University, School of Computer Science and Technology
Work Experience	2021.04 - Present - Beijing Institute of Brain Science and Brain-like Research - Researcher 2017.10 - 2021.03 - University of Pennsylvania School of Medicine - Postdoctoral Researcher

University/Lab Affiliation and Title

Chinese Institute for Brain Research, Beijing

Faculty

Brain Science and Anthropology

Academic Background & Achievements

2011.09-2017.07 Ph.D.: Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning
2007.09-2011.07 Bachelor's: Anhui University, School of Computer Science and Technology

Work Experience

2021.04 - Present - Beijing Institute of Brain Science and Brain-like Research - Researcher
2017.10 - 2021.03 - University of Pennsylvania School of Medicine - Postdoctoral Researcher

Areas of Focus	Organization principles of brain structure and functional networks and their behavioral characteristics in normal and abnormal development during childhood and adolescence
Publications	Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth, Cui Z, Pines AR, Larsen B, Sydnor VJ, Li H, Adebimpe A, Alexander-Bloch AF, Bassett DS, Bertolero M, Calkins ME, Davatzikos C, Fair DA, Gur RC, Gur RE, Moore TM, Shanmugan S, Russell TS, Jacob WV, Cedric HX, Yong F, Satterthwaite TD, 2022 Precision biomarkers for mood disorders based on brain imaging, Chen R, Cui Z, Capitao L, Wang G, Satterthwaite TD, Harmer CJ, 2020 Individual variation in functional topography of association networks in youth, Cui Z, Li H, Xia CH, Larsen B, Adebimpe A, Baum GL, Cieslak M, Gur RE, Gur RC, Moore TM, Oathes DJ, Alexander-Bloch A, Raznahan A, Roalf DR, Shinohara RT, Wolf DH, Davatzikos C, Bassett DS, Fair DA, Fan Y, Satterthwaite TD, 2020 Optimization of energy state transition trajectory supports the development of executive function during youth, Cui Z, Stiso J, Baum GL, Kim JZ, Roalf DR, Betzel RF, Gu S, Lu Z, Xia CH, He X, Ciric R, Oathes DJ, Moore TM, Shinohara RT, Ruparel K, Davatzikos C, Pasqualetti F, Gur RE, Gur RC, Bassett DS, Satterthwaite TD, 2020 The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features, Cui Z, Gong G, 2018 Individualized prediction for reading comprehension abilities using gray matter volume, Cui Z, Su M, Li L, Shu H, Gong G, 2018 Disrupted white matter connectivity underlying developmental dyslexia: a machine learning approach, Cui Z, Xia Z, Su M, Shu H, Gong G, 2016 PANDA: a pipeline toolbox for analyzing brain diffusion images, Cui Z, Zhong S, Xu P, He Y, Gong G, 2013

Areas of Focus

Organization principles of brain structure and functional networks and their behavioral characteristics in normal and abnormal development during childhood and adolescence

Publications

Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth, Cui Z, Pines AR, Larsen B, Sydnor VJ, Li H, Adebimpe A, Alexander-Bloch AF, Bassett DS, Bertolero M, Calkins ME, Davatzikos C, Fair DA, Gur RC, Gur RE, Moore TM, Shanmugan S, Russell TS, Jacob WV, Cedric HX, Yong F, Satterthwaite TD, 2022
Precision biomarkers for mood disorders based on brain imaging, Chen R*, Cui Z*, Capitao L, Wang G, Satterthwaite TD, Harmer CJ, 2020
Individual variation in functional topography of association networks in youth, Cui Z, Li H, Xia CH, Larsen B, Adebimpe A, Baum GL, Cieslak M, Gur RE, Gur RC, Moore TM, Oathes DJ, Alexander-Bloch A, Raznahan A, Roalf DR, Shinohara RT, Wolf DH, Davatzikos C, Bassett DS, Fair DA, Fan Y, Satterthwaite TD, 2020
Optimization of energy state transition trajectory supports the development of executive function during youth, Cui Z, Stiso J, Baum GL, Kim JZ, Roalf DR, Betzel RF, Gu S, Lu Z, Xia CH, He X, Ciric R, Oathes DJ, Moore TM, Shinohara RT, Ruparel K, Davatzikos C, Pasqualetti F, Gur RE, Gur RC, Bassett DS, Satterthwaite TD, 2020
The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features, Cui Z, Gong G, 2018
Individualized prediction for reading comprehension abilities using gray matter volume, Cui Z*, Su M*, Li L, Shu H, Gong G, 2018
Disrupted white matter connectivity underlying developmental dyslexia: a machine learning approach, Cui Z*, Xia Z*, Su M, Shu H, Gong G, 2016
PANDA: a pipeline toolbox for analyzing brain diffusion images, Cui Z, Zhong S, Xu P, He Y, Gong G, 2013

Brain Structure Functional Networks Behavioral Characteristics Normal Development Abnormal Development Childhood Adolescence Cognitive Neuroscience Neuroimaging Machine Learning

Ji Ni - Chinese Institute for Brain Research, Beijing

Shogo Ohmae - Chinese Institute for Brain Research, Beijing

View All

Personal Information

Academic Information

Research

Contact us

No account yet?

Personal Information

Academic Information

Research

Contact us