State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University

Faculty

Current Faculty

Ni Shu Ph.D.Diffusion magnetic resonance imaging; Human brain connectome; Quantitative analysis of white matter; Cognitive aging and cognitive impairment nshu#bnu.edu.cn

Educational Experience

Ph.D.

Institute of Automation, Chinese Academy and Sciences, Beijing, 2009

Pattern recognition and intelligent system, Advisor: Tianzi Jiang

B.A.

University of Science and Technology of China, Hefei, 2004

Automation

Professional Experience

2023.3-present　Professor, State key laboratory of cognitive neuroscience and learning, Beijing Normal University

2014.6-present　Associate professor, State key laboratory of cognitive neuroscience and learning, Beijing Normal University

2014.3-2015.3　Visiting Scholar, Montreal Neurological Institute, McGill University, Canada

2009-2013　Assistant professor, State key laboratory of cognitive neuroscience and learning, Beijing Normal University

Research Description

As the bridge of information communication between brain regions, white matter plays an important role in the human brain. White matter structure of human brain is closely related to the individual differences in cognition and behavior. Many serious brain disorders are also related to the white matter damage. However, the function of brain white matter is still poorly understood. Therefore, our group mainly employ neuroimaging-based quantitative analysis of white matter to investigate the neural mechanisms of individual differences in cognition and the pathological mechanisms of brain disorder. The research scopes include: (1) Quantitative analysis methods of white matter structure based on neuroimaging techniques, (2) Quantitative assessment of white matter damage at individual level in brain disorders; (3) Neural mechanisms of individual differences in cognitive development and cognitive aging, and (4) Risk modeling and individual prediction of cognitive impairment.

Publications

1. Bi Q, Wang W, Niu N, Li H, Wang Y, Huang W, Chen K, Xu K, Zhang J, Chen Y, Wei D, Cui R*, Shu N*, Zhang Z (2021). Relationship between the disrupted topological efficiency of the structural brain connectome and glucose hypometabolism in normal aging. Neuroimage 226:11759.

2. Huang W, Li XY, Li X, Kang GX, Han Y*, Shu N* (2021). Combined Support Vector Machine Classifier and Brain Structural Network Features for the Individual Classification of Amnestic Mild Cognitive Impairment and Subjective Cognitive Decline Patients. Front Aging Neurosci 13:687927.

3. Huang W, Li X, Li H, Wang W, Chen K, Xu K, Zhang J, Chen Y, Wei D, Shu N*, Zhang Z (2021). Machine-learning based brain age prediction in amnestic mild cognitive impairment. Radiol Artif Intell 3(5):e200171.

4. Wang X, Huang W, Su L, Xing Y, Jessen F, Sun Y*, Shu N*, Han Y* (2020). Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease. Mol Neurodegener 15(1):55.

5. Li X, Wang Y, Wang W, Huang W, Chen K, Xu K, Zhang J, Chen Y, Li H, Wei D, Shu N*, Zhang Z* (2020). Age-Related Decline in the Topological Efficiency of the Brain Structural Connectome and Cognitive Aging. Cereb Cortex 30(8):4651-4661.

6. Sun Y, Bi Q, Wang X, Hu X, Li H, Li X, Ma T, Lu J, Chan P, Shu N*, Han Y* (2019) Prediction of Conversion From Amnestic Mild Cognitive Impairment to Alzheimer's Disease Based on the Brain Structural Connectome. Front Neurol 9:1178.

7. Zhao T, Mishra V, Jeon T, Ouyang M, Peng Q, Chalak L, Lee Wisnowski J, Heyne R, Rollins N, Shu N*, Huang H* (2019) Structural network maturation of the preterm human brain. Neuroimage 185:699-710.

8. Liu Y, Duan Y, Dong H, Barkhof F, Li K*, Shu N* (2018). Disrupted Module Efficiency of Structural and Functional Brain Connectomes in Clinically Isolated Syndrome and Multiple Sclerosis. Front Hum Neurosci 12:138.

9. Shu N, Duan Y, Huang J, Ren Z, Liu Z, Dong H, Barkhof F, Li K, Liu Y (2018). Progressive brain rich-club network disruption from clinically isolated syndrome towards multiple sclerosis. NeuroImage: Clinical 19:232-239.

10. Shu N, Wang X, Bi Q, Zhao T, Han Y*(2018) Disrupted topological efficiency of white matter structural connectome in individuals with subjective cognitive decline. Radiology 286(1):229-238.

11. Zhao T, Sheng C, Bi Q, Niu W, Shu N*, Han Y* (2017) Age-related differences in the topological efficiency of the brain structural connectome in amnestic mild cognitive impairment. Neurobiology of Aging 59:144-155.

12. Shu N, Duan Y, Xia M, Schoonheim MM, Huang J, Ren Z, Sun Z, Ye J, Dong H, Shi FD, Barkhof F, Li K, Liu Y (2016) Disrupted topological organization of structural and functional brain connectomes in clinically isolated syndrome and multiple sclerosis. Sci Rep 6:29383.

13. Shu N#, Li X#, Ma C#, Zhang J, Chen K, Liang Y, Chen Y , Zhang Z (2015) Effects of APOE promoter polymorphism on the topological organization of brain structural connectome in nondemented elderly. Hum Brain Mapp 36(12):4847-58.

14. Zhao T, Cao M, Niu H, Zuo XN, Evans A, He Y, Dong Q, Shu N* (2015) Age-related changes in the topological organization of the white matter structural connectome across the human lifespan. Hum Brain Mapp 36(10):3777-92.

15. Huang H#, Shu N#, Mishra V, Jeon T, Chalak L, Wang Z, Rollins N, Gong G, Cheng H, Peng Y, Dong Q, He Y (2015) Development of human brain structural networks through infancy and childhood. Cereb Cortex 25(5):1389-404.

16. Shu N*, Liu Y, Duan Y, Li K (2015) Hemispheric Asymmetry of Human Brain Anatomical Network Revealed by Diffusion Tensor Tractography. Biomed Res Int 2015:908917.

17. Duan F, Zhao T, He Y, Shu N* (2015) Test-retest reliability of diffusion measures in cerebral white matter: a multiband diffusion MRI study. Journal of Magnetic Resonance Imaging 42(4):1106-1116.

18. Zhao T, Duan F, Liao X, Dai Z, Cao M, He Y, Shu N* (2015) Test-retest reliability of white matter structural brain networks: A multiband diffusion MRI study. Front Hum Neurosci 9:59.

19. Cao Q#, Shu N#, An L, Wang P, Sun L, Xia M, Wang J, Gong G, Zang Y, Wang Y, He Y (2013) Probabilistic diffusion tractography and graph-theory analysis reveal abnormal white-matter structural connectivity networks in drug-naive boys with attention-deficit/hyperactivity disorder. J Neurosci 33(26): 10676-10687.

20. Li H, Liang Y, Chen K, Li X, Shu N*, Zhang Z*, Wang Y (2013) Different Patterns of White Matter Disruption among Amnestic Mild Cognitive Impairment Subtypes: Relationship with Neuropsychological Performance. J Alzheimers Dis 36(2): 365-376.

21. Liu Y, Duan Y, He Y, Wang J, Xia M, Yu C, Dong H, Ye J, Butzkueven H, Li K*, Shu N* (2012) Altered topological organization of white matter structural networks in patients with neuromyelitis optica. PLoS ONE 7(11): e4884.

22. Shu N, Liang Y, Li H, Zhang J, Li X, Wang L, He Y, Wang Y, Zhang Z (2012) Disrupted topological organization in white matter structural networks in amnestic mild cognitive impairment: relationship to subtype. Radiology 265(2): 518-527.

23. Bai F#, Shu N#, Yuan Y, Shi Y, Yu H, Wu D, He Y, Zhang Z (2012) Topologically convergent and divergent structural connectivity patterns between patients with remitted geriatric depression and amnestic mild cognitive impairment. J Neurosci 32(12): 4307-4318. (Cover paper)

24. Liu Y, Duan Y, He Y, Butzkueven H, Wang J, Yu C, Dong H, Ye J, Li K*, Shu N* (2012) A tract-based diffusion study of cerebral white matter in neuromyelitis optica reveals widespread pathological alterations. Mult Scler 18(7):1013-1021.

25. Liu Y, Duan Y, He Y, Yu C, Wang J, Huang J, Ye J, Parizel P, Li K*, Shu N* (2012) Whole brain white matter changes revealed by multiple diffusion metrics in multiple sclerosis: a TBSS study. Eur J Radiol 81(10): 2826-2832.

26. Shu N, Liu Y, Li K, Duan Y, Wang J, Yu C, Dong H, Ye J, He Y (2011) Diffusion tensor tractography reveals disrupted topological efficiency in white matter structural networks in multiple sclerosis. Cereb Cortex 21:2565-2577. (Cover paper)

27. Shu N, Wang Z, Qi Z, Li K, He Y (2011) Multiple diffusion indices reveals white matter degeneration in Alzheimer's disease and mild cognitive impairment: a tract-based spatial statistics study. J Alzheimers Dis 26:275-285.