Y.He
Title: Professor
Research: Neuroimaging and Human Connectomics
Tel: +861058802036
Address: Rm 9419,Jingshi Building, No 19 Xinjiekouwai St.
Postcode: 100875
Email: yong.he@bnu.edu.cn
Webpage: http://www.yonghelab.org
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CAREER EXPERIENCE:
2017.03-present: Deputy Director, National Key Laboratory of Cognitive Neuroscience & Learning, Beijing Normal University, China
2017.01-present: Founding Director, Beijing Key Laboratory of Brain Imaging and
Connectomics, Beijing Normal University, China
2015.09-2017.11: Director, Imaging Center for Brain Research, Beijing Normal University, China
2016.01-present: Changjiang Scholar Chair Professor, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China
2013.06-present: Professor, IDG/McGovern Institute for Brain Research, Beijing Normal University, China
2013.09-present: Professor, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China
2008.01-2013.08: Investigator, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China
2005.06-2007.12: Post-doctoral Fellow, McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Canada
ACADEMIC TRAING:
2002.07-2005.05: Ph.D. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
1999.09-2002.06: M.Sc. in Mechanical Automation, School of Mechanical Engineering, Dalian University of Technology, Dalian, China
1993.09-1997.06: B.Sc. in Mechatronics, School of Mechanical Engineering, Shandong University of Technology, Zibo, China
EDITORIAL:
Editor Board/Associate Editor: Human Brain Mapping
Editor Board: NeuroImage
Editor Board: NeuroImage: Clinical
Editor Board: Frontiers in Human Neuroscience
Editor Board/Academic Editor: PLoS ONE
Editor Board: Brain Connectivity
Editor Board: CNS Neuroscience & Therapeutics
Editor Board: Journal of Alzheimer’s Disease
The human brain is the most complex system in nature. Our mind, cognition and behavior emerge from the highly complex communication on various levels in the brain. Changes of such network connectivity patterns may lead to neurological and neuropsychiatric disorders. The main goal of our research is to understand how the human brain networks are topologically organized in health and disease. Specifically, we focus on the macro-level of brain networks using a variety of neuroimaging data, with the following directions:
1) Construct the large-scale brain networks using multiple imaging techniques, describe the underlying topological organization using graph theory and further validate their reliability;
2) Investigate the relationships between the structural and functional brain networks and elucidate their physiological basis;
3) Study network-based biomarkers for normal development and neuropsychiatric disorders such as Alzheimer’s disease and depression;
4) Develop graph-based brain network analysis and visualization tools as well as computing cluster platform.
Much of our research occurs at the IDG/McGovern Institute for Brain Research, Beijing Normal University, and at the State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University.
Dr. Mingrui Xia. E-mail: mxia@bnu.edu.cn
Dr. Yuhan Chen. E-mail: yhchen@bnu.edu.cn
Dr. Tengda Zhao. E-mail: tengdazhao@gmail.com
Dr. Xiaojing Shou. E-mail: shouxiaojing@bnu.edu.cn
Selected Publications:
Cao, M., Huang, H., He, Y. (2017) Developmental connectomics from infancy through early childhood. Trends in Neurosciences, in press.
Liao, X., Vasilakosd, A., He, Y. (2017) Small-world human brain networks: perspectives and challenges. Neuroscience & Biobehavioral Reviews 77::286–300.
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. Cerebral Cortex 27:1949-1963.
Liu, J., Xia, M., Dai, Z., Wang, X., Liao, X., Bi, Y., He, Y. (2016) Intrinsic brain hub connectivity underlies individual differences in spatial working memory. Cerebral Cortex, in press.
Liang, X., Hsu, L., Lu, H., Sumiyoshi, A., He, Y., Yang, Y. (2016) The rich club organization in rat functional brain network to balance between communication cost and efficiency. Cerebral Cortex, in press.
Liang, X., Zou, Q., He, Y., Yang, Y. (2016) Topologically reorganized connectivity architecture of default-mode, executive-control and salience networks across working memory task loads. Cerebral Cortex 26:1501-1511. [ESI Highly Cited Paper]
Huang, H., Shu, N., Mishra, V., Jeon, T., Chalak, L., Wang, J., Rollins, N., Gong, G., Dong, Q., He, Y. (2015) Development of human brain structural networks through infancy and childhood. Cerebral Cortex 25:1389-1404.
Dai, Z., Yan, C., Li, K., Wang, Z., Wang, J., Cao, M., Lin, Q., Shu, N., Xia, M., Bi, Y., He, Y. (2015) Identifying and mapping connectivity patterns of brain network hubs in Alzheimer's disease. Cerebral Cortex 25:3723-3742.
Gong, Q., He, Y. (2015) Depression, neuroimaging and connectomics: a selective overview. Biological Psychiatry 77:223-235.
Bi, Y., He, Y. (2014) Connectomics reveals faulty wiring patterns for depressed brain. Biological Psychiatry 76:515–516.
Cao, M., Wang, J., Dai, Z., Cao, X., Jiang, L., Fan, F., Song, X., Xia, M., Shu, N., Dong, Q., Milham, M., Castellanos, F., Zuo, X., He, Y. (2014). Topological organization of the human brain functional connectome across the lifespan. Development Cognitive Neuroscience 7:76–93. [ESI Highly Cited Paper]
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. Biological Psychiatry 73:472-481. (Cover paper) [Commentary: Toga, A., Thompson, P. (2013) Connectomics sheds new light on Alzheimer’s disease. Biological Psychiatry 73:390-392.] [ESI Highly Cited Paper]
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. [ESI Highly Cited Paper]
Xia, M., Wang, J., He, Y. (2013) BrainNet Viewer: a network visualization tool for human brain connectomics. PLoS ONE 8(7): e68910. [ESI Highly Cited Paper]
Filippi, M., van den Heuvel, M.P., Fornito, A., He, Y., Hulshoff Pol, H.E., Agosta, F., Comi, G., Rocca, M.A. (2013) Assessment of system dysfunction in the brain through MRI-based connectomics. The Lancet Neurology 12:1189-1199.
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-naïve boys with attention-deficit/hyperactivity disorder. The Journal of Neuroscience 33:10676-10687.
Bai, F., Shu, N., Yuan, Y., Shi, Y., Yu, H., Wu, D., Wang, J., Xia, M., He, Y., Zhang, Z. (2012) Topologically convergent and divergent structural connectivity patterns between patients with remitted geriatric depression and amnestic mild cognitive impairment. The Journal of Neuroscience 32:4307–4318. (Cover paper)
Zhang, J., Wang, J., Wu, Q., Kuang, W., Lui, S., Huang, X., He, Y., Gong, Q. (2011) Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder. Biological Psychiatry 70:334-342. (Cover paper) [ESI Highly Cited Paper]
Yan, C., Gong, G., Wang, J., Wang, D., Liu, D., Zhu, C., Evans, A., Zang, Y., He, Y. (2011) Sex- and brain size-related small-world structural cortical networks in young adults: a DTI tractography study. Cerebral Cortex 21:449-458.
Shu, N., Liu, Y., Duan, Y., Wang, J., Yu, C., Dong, H., Ye, J., Li, K., He, Y. (2011) Diffusion tensor tractography reveals disrupted topological efficiency in white matter structural networks in multiple sclerosis. Cerebral Cortex 21:2565-2577. (Cover paper)
He, Y., Evans, A. (2010) Graph theoretical modeling of brain connectivity. Current Opinion in Neurology 23:341-350. [ESI Highly Cited Paper]
Lo, C., Wang, P., Chou, K., Wang, J., He, Y., Lin, C. (2010) Diffusion tensor tractography reveals abnormal topological organization in structural cortical networks in Alzheimer's disease. The Journal of Neuroscience 30:16876-16885.
He, Y., Dagher, A., Chen, Z., Charil, A., Zijdenbos, A., Worsley, K., Evans, A. (2009) Impaired small-world efficiency in structural cortical networks in multiple sclerosis associated with white matter lesion load. Brain 132:3366-3379.
Gong, G.#, He, Y.#, Concha, L., Lebel, C., Gross, D., Evans, A., Beaulieu, C. (2009) Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. Cerebral Cortex 19:524-536. (#, equal contribution) [ESI Highly Cited Paper]
Wang, J., Wang, L., Zang,Y., Yang, H., Tang, H., Gong, Q., Chen, Z., Zhu, C., He, Y. (2009) Parcellation-dependent small-world brain functional networks: a resting-state fMRI study. Hum Brain Mapp 30:1511-1523. [ESI Highly Cited Paper]
He, Y., Wang, J., Wang, L., Chen, Z., Yan, C., Yang, H., Tang, H., Zhu, C., Gong, Q., Zang, Y., Evans, A. (2009) Uncovering intrinsic modular organization of spontaneous brain activity in humans. PLoS ONE 4:e5226. [ESI Highly Cited Paper]
He, Y., Chen, Z., Evans, A. (2008) Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease. The Journal of Neuroscience 28:4756-4766. [Commentary: Riedl, V., Honey, C. (2008) Alzheimer’s disease: a search for broken links. The Journal of Neuroscience 28:8148-8149]. [ESI Highly Cited Paper]
He, Y., Wang, L., Zang, Y., Tian, L., Zhang, X., Li, K., Jiang, T. (2007) Regional coherence changes in the early stages of Alzheimer's disease: a combined structural and resting-state functional MRI study. Neuroimage 35:488-500. [ESI Highly Cited Paper]
He, Y., Chen, Z., Evans, A. (2007) Small-world anatomical networks in the human brain revealed by cortical thickness from MRI. Cerebral Cortex 17:2407-2419. [ESI Highly Cited Paper]
