Scientists

刘书
Shu Liu / Principal Investigator
Lab/Research Group Name:Biostatistics and Imaging Genetics
Email:liushu@mail.kiz.ac.cn
Zip Code:650201
Address:Kunming Institute of Zoology, the Chinese Academy of Sciences, No.17 LongXinlu, Kunming, Yunnan,P.R.China
Position:Principal Investigator
Other relevant platforms:Google Scholar URL: https://scholar.google.com/citations?user=Tp1ri0IAAAAJ&hl=en

Education and Appointments

Education

Degree Field Institution Year

Ph.D. Neuroscience University of Amsterdam 2019-2024

M.S./M.A. Pattern Recognition Institute of Automation, Chinese Academy of Sciences 2016-2019

B.S./B.A. Information Security Harbin Engineering University 2012-2016


Professional Experience

Position Institution Years

Research professor Kunming Institute of Zoology until 2024


Research Areas

My research focuses on integrating neuroimaging and multi-omics approaches to elucidate brain–behavior relationships and their underlying neural mechanisms. By combining modalities such as structural and functional imaging with genomics, transcriptomics, and other omics data, I aim to uncover how biological processes across scales contribute to individual variability in cognition and behavior. The research spans both human and non-human primates, enabling cross-species comparisons that provide deeper insights into conserved and divergent neural architectures. Through this integrative framework, I seek to bridge the gap between molecular mechanisms and large-scale brain networks, ultimately advancing our understanding of how complex behaviors emerge from the brain and how these processes are altered in neuropsychiatric conditions.

Publications

1. Shu Liu*; Abdel Abdellaoui; Karin JH Verweij; Guido A van Wingen*; Replicable brain–phenotype associations require large-scale neuroimaging data, Nature Human Behaviour, 2023, 7(8):1344-1356. DOI: 10.1038/s41562-023-01642-5

2. Shu Liu*; Abdel Abdellaoui; Guido A van WingenKarin JH Verweij*; The relation between cortical gene expression and the neural correlates of risky behavior, Nature Mental Health, 2024, 2(10): 1183-1195. DOI: 10.1038/s44220-024-00311-4

3. Shu Liu*; Abdel Abdellaoui; Karin J. H. Verweij; Guido A. van Wingen*; Gene expression has distinct associations with brain structure and function in major depressive disorder, Advanced Science, 2023, 10(7): 2205486. DOI: 10.1002/advs.202205486

4. Shu Liu*; Dirk J A Smit; Abdel Abdellaoui; Guido A van Wingen; Karin J H Verweij*; Brain structure and function show distinct relations with genetic predispositions to mental health and cognition, Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2023, 8(3): 300-310. DOI: 10.1016/j.bpsc.2022.08.003

5. Shu Liu; Ang Li; Yong Liu; Hao Yan; Meng Wang; Yuqing Sun; Lingzhong Fan; Ming Song; Kaibin Xu; Jun Chen; Yunchun Chen; Huaning Wang; Hua Guo; Ping Wan; Luxian Lv; Yongfeng Yang; Peng Li; Lin Lu; Jun Yan; Huiling Wang; Hongxing Zhang; Huawang Wu; Yuping Ning; Dai Zhang; Tianzi Jiang; Bing Liu*; Polygenic effects of schizophrenia on hippocampal grey matter volume and hippocampus-medial prefrontal cortex functional connectivity, British Journal of Psychiatry,2020, 216(5): 267-274. DOI: 10.1192/bjp.2019.127

6. Shu Liu; Ang Li; Yong Liu; Jin Li; Meng Wang; Yuqing Sun; Wen Qin; Chunshui Yu; Tianzi Jiang; Bing Liu*; MIR137 polygenic risk is associated with schizophrenia and affects functional connectivity of the dorsolateral prefrontal cortex, Psychological Medicine, 2020, 50(9): 1510-1518. DOI: 10.1017/S0033291719001442

7. Shu Liu; Ang Li; Meifang Zhu; Jin Li; Bing Liu*; Genetic influences on cortical myelination in the human brain, Genes, Brain and Behavior, 2019, 18(4): e12537. DOI: 10.1111/gbb.12537


Member

Yanyu Zhou Research Assistant

Guanbo Wang Postdoc

Yu Zhang PhD student

Jiayu Ding PhD student

Mo Li Master student

Xida Wang Master student

Yujia Zhou Master student