2002.07-2005.05，中国科学院自动化研究所，博士


1999.09-2002.06，大连理工大学，硕士


1993.09-1997.07，山东理工大学，学士

2017.03-至今，认知神经科学与学习国家重点实验室，副主任


2017.01-至今，神经影像大数据与人脑连接组学北京市重点实验室，创始主任


2013.06-至今，北京师范大学IDG/麦戈文脑科学研究院，课题组长（PI）


2013.09-至今，北京师范大学认知神经科学与学习国家重点实验，教授


2008.01-2013.08，北京师范大学认知神经科学与学习国家重点实验，研究员


2005.06-2007.12，加拿大麦吉尔（McGill）大学蒙特利尔神经病学研究所，博士后

主要研究方向：（1）采用无创的多模态神经影像技术（如结构、功能、弥散等）研究活体人脑结构和功能连接组的构建、描述、评价计算方法和计算模型，并探索其认知功能和生理基础；（2）采用影像连接组学方法研究人脑网络的发育与神经精神疾病的脑网络受损机制及诊疗评估方法；（3）开发基于神经影像的人脑连接组分析和可视化软硬件计算平台。

1. Xie Y, Xu Z, Xia M, Liu J, Shou X, Cui Z, Liao X, He Y (2021) Alterations in connectome dynamics in autism spectrum disorder: a harmonized mega- and meta-analysis study using the ABIDE dataset. Biorxiv.

2. Xia Y, Xia M, Liu J, Liao X, Lei T, Liang X, Zhao T, Shi Z, Sun L, Chen X, Men W, Wang Y, Pan Z, Luo J, Peng S, Chen M, Hao L, Tan S, Gao J, Qin S, Gong G, Tao S, Dong Q, He Y (2021) Development of functional connectome gradients during childhood and adolescence. Biorxiv.

3. Zeng Z, Zhao T, Sun L, Zhang Y, Xia M, Liao X, Zhang J, Shen D, Wang L, He Y (2021) 3D-MASNet: 3D mixed-scale asymmetric convolutional segmentation network for 6-month-old infant brain MR images. Biorxiv.

4. Chen Y, Lin Q, Liao X, Zhou C, He Y (2021) Association of aerobic glycolysis with the structural connectome reveals a benefit-risk balancing mechanism in the human brain, Proc Natl Acad Sci 118(1):e2013232118.

5. Lei T, Liao X, Chen X, Zhao T, Xu Y, Xia M, Zhang J, Sun X, Wei Y, Men W, Wang Y, Hu M, Zhao G, Du B, Wu Q, Tan S, Gao J, Qin S, Tao S, Dong Q, He Y (2021) Progressive stabilization of brain network dynamics during childhood and adolescence. Cereb Cortex, doi: 10.1093/cercor/bhab263.

6. Wang Q, Xu Y, Zhao T, Xu Z, He Y, Liao X (2021) Individual uniqueness in the neonatal functional connectome. Cereb Cortex 31(8):3701-3712.

7. Sha Z, Wager T, Mechelli A, He Y (2019) Common dysfunction of large-scale neurocognitive networks across psychiatric disorders. Biol Psychiatry 85(5):379–388.

8. Xu Y, Cao M, Liao X, Xia M, Wang X, Jeon T, Ouyang M, Chalak L, Rollins N, Huang H, He Y (2019) Development and emergence of individual variability in the functional connectivity architecture of the preterm human brain. Cereb Cortex 29(10):4208-4222.

9. Zhao T, Xu Y, He Y (2019) Graph theoretical modeling of baby brain networks. NeuroImage 185:711–727.

10. Zhao T, Liao X, Fonov V, Wang Q, Men W, Wang Y, Qin S, Tan S, Gao J, Evans A, Tao S, Dong Q, He Y (2019) Unbiased age-specific structural brain atlases for Chinese pediatric population. NeuroImage 189:55-70.

11. Xia M, Si T, Sun X, Ma Q, Liu B, Wang L, Meng J, Chang M, Huang X, Chen Z, Tang Y, Xu K, Gong Q, Wang F, Qiu J, Xie P, Li L, He Y, and DIDA-Major Depressive Disorder Working Group (2019) Reproducibility of functional brain alterations in major depressive disorder: evidence from a multisite resting-state functional MRI study with 1,434 individuals. NeuroImage 189:700-714.

12. Cao M, Huang H, He Y (2017) Developmental connectomics from infancy through early childhood. Trends Neurosci 40:494-506.

13. Cao M, He Y, Dai Z, Liao X, Jeon T, Ouyang M, Chalak L, Bi Y, Rollins N, Dong Q, Huang H (2017) Early development of functional network segregation revealed by connectomic analysis of the preterm human brain. Cereb Cortex 27(3):1949-1963.

14. Liao X, Vasilakosd A, He Y (2017) Small-world human brain networks: perspectives and challenges. Neurosci Biobehav Rev 77::286–300.

15. Gong Q, He Y (2015) Depression, neuroimaging and connectomics: a selective overview. Biol Psychiatry 77(3):223-235.

16. 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 25:1389-1404.

17. Liang X, Zou Q, He Y, Yang Y (2013) Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain. Proc Natl Acad Sci 110:1929-1934.

18. Wang J, Zuo X, Dai Z, Xia M, Zhao Z, Zhao X, Jia J, Han Y, He Y (2013) Disrupted functional brain connectome in individuals at risk for Alzheimer's disease. Biol Psychiatry 73:472-481.

全部论文请见：

https://scholar.google.com/citations?hl=en&user=PwVP55AAAAAJ