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Ying HAN, M.D., Ph.D. Professor and Supervisor for Doctor Candidates

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Ying HAN, M.D., Ph.D. Professor and Supervisor for Doctor Candidates Ying HAN, M.D., Ph.D. Professor and Supervisor for doctor candidates Chief Physician, in the Department of Neurology, XuanWu Hospital of Capital Medical University PI, Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders Summary: Academic Participation: Chief of International Cooperative Research Center of Neuropsychical Disease of XuanWu Hospital; Standing Committee member of Chinese Society of Microcirculation Neurodegenerative Diseases Committe and the first chairman of the MRI group; Deputy leader of Neurology group of Geriatric Care Branch of China International Exchange and Health Care; Committee member of Chinese Society of MRI; Director of Chinese Association Geriatric Research; Committee member of Chinese Society of Laboratory Medicine; PI of the multi-center study on SCD of Preclinical AD; Editorial board member and review for several magazines; Expert of first instance for The National Natural Science Fund; PI of Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders; for Beijing Institute of Technology, Hongqi Hospital of Mudanjiang Medical College and Shenzhen Longgang Hospital. Dr. Ying HAN, Professor in Neurology, Graduated from Harbin Medical University, Medical Department in 1988. Went to France to study Alzheimer's Disease with neuroimaging at the department of neurology at the Second University of Lille, Hospital Roger Salengro de CHRU, meanwhile served as the Chairman of the Federation of Chinese Students and Scholars in Lille from 2000 to 2001, selected by the State Board of Education of the Embassy of the People’s Republic of China in France. While studying in France under the tutelage of Professor Florence Pasquier, the international renowned expert in Alzheimer's disease (AD), the director of the Department of Neurology and the memory center, who is one of the coauthors for the diagnosis criteria of AD by NINCDS-ADRDA 2007, 2010, and 2014. Received a doctorate on development and education psychology in the National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University in 2008. Served as the leader of one sub-project from a national key research and development plan program. Dr. Han held/participate in two key program (81430037, 61633018) and two general program (30970823, 31371007) supported by the National Natural Science Foundation of China. Besides also held/participate in a key program of Beijing Nature Science Foundation (7161009), two program of Beijing Municipal Science & Technology Commission (Z131100006813022, Z161100002616020), one Fundamental and Clinical Cooperative Research Program of Capital Medical University (16JL-L08) and Opening Foundation of Key Laboratory of Behavioral Science, Chinese Academy of Sciences (20160101). Suported by Health and Family Planning Commission of Shunyi District Beijing as well. She is engaged mainly in prevention, diagnosis and intervention research of Alzheimer's disease, especially the early diagnosis of Alzheimer's disease by multi- modal magnetic resonance imaging techniques and follow-up study. Three representative publications: 1. Sun Y, Dai Z, Li Y, Sheng C, Li S, Wang X, Chen X, He Y, Han Y* Mapping Functional and Structural Brain Changes in Subjective Cognitive Decline: A Combined Resting-State Functional MRI and Structural MRI Study. Radiology. 2016, Mar 22:151771. (IF: 6.798) 2. Han Y*, Wang J, Zhao Z, Min B, Lu J, Li K, He Y, Jia J*. Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: a resting-state fMRI study. NeuroImage. 2011, 55(1): 287-295. (IF: 6.252) 3. Li S*, Yuan X, Pu F, Li D, Fan Y, Wu L, Chao W, Chen N, He Y, Han Y*. Abnormal Changes of Multidimensional Surface Features Using Multivariate Pattern Classification in Amnestic Mild Cognitive Impairment Patients. Journal of Neurosci. 2014, 34 (32): 10541–10553. (IF: 6.747) Research Interests: Longitudinal Studies on Subjective Cognitive Decline and Mild Cognitive Impairment due to AD Based on Multi-modal Magnetic Resonance Imaging The aim of this direction is to screen and study pre-mild cognitive impairment group compared with cognitively normal control group, in order to realize early diagnosis of Alzheimer’s disease. Be prepared for the selective right time to intervene or to halt the progression of the disease in the near future, at least to predict pre-MCI converters for the early interference. Publications: 1. Yang Yu#, Xinyu Liang#, Haikuo Yu, Weina Zhao, Yan Lu, Yue Huang, Changhao Yin*, Gaolang Gong*, and Ying Han*. How does white matter microstructure differ between the vascular and amnestic mild cognitive impairment? Oncotarget. 2016 Dec 15. doi: 10.18632/oncotarget.13960. 2. Wang XN#, Zeng Y#, Chen GQ, Zhang YH, Li XY, Hao XY, Yu Y, Zhang M, Sheng C, Li YX, Sun Y, Li HY, Song Y, Li KC, Yan TY*, Tang XY*,Han Y*. Abnormal organization of white matter networks in patients with subjective cognitive decline and mildcognitive impairment. Oncotarget. 2016, 7: 48953-48962. (IF: 5.008) 3. Long Z#, jing B#, Yan H, Dong J, Liu H, Mo X, Han Y*, Li H*. A support vector machine based method to identify mild cognitive impairment with multi-level characteristics of magnetic resonance imaging. Neuroscience. 2016, DOI: http://dx.doi.org/10.1016/j.neuroscience.2016.06.025. (IF: 3.231) 4. Xuan-yu Li#, Zhen-chao Tang#, Yu Sun, Jie Tian, Zhen-yu Liu*,Ying Han*. White matter degeneration in subjective cognitive decline: a diffusion tensor imaging study. Oncotarget. 2016, 7: 54405-54414. (IF: 5.008) 5. Chen G, Sheng C, Li Y, Yu Y, Wang X, Sun Y, Li H, Li X, Xie Y, Han Y*. Neuroimaging basis in the conversion of aMCI patients with APOE- ε4 to AD: study protocol of a prospective diagnostic trial. BMC neurol. 2016, 16 (1): 64. (IF: 1.961) 6. Sun Y#, Dai Z#, Li Y, Sheng C, Li H, Wang X, Chen X, He Y, Han Y*. Mapping Functional and Structural Brain Changes in Subjective Cognitive Decline: A Combined Resting-State Functional MRI and Structural MRI Study. Radiology. 2016, Mar 22:151771. (IF: 6.798) 7. Wang Z, Zhang M, Han Y, Song H, Guo R*, Li K*. Differentially disrupted functional connectivity of the subregions of the amygdala in Alzheimer’s disease. J Xray Sci Technol. 2016, 24 (2): 329-42. 8. Li Q, Li X, Wang X, Li Y, Li K, Yu Y, Yin C, Li S*, Han Y*. Topological Properties of Large-Scale Cortical Networks Based on Multiple Morphological Features in Amnestic Mild Cognitive Impairment. Neural Plasticity. 2016, Article ID 3462309. DOI: 10.1155/2016/3462309. (IF: 3.568) 9. Li X, Li D, Li Q, Li Y, Li K, Li S*, Han Y*. Hippocampal subfield volumetry in patients with subcortical vascular mild cognitive impairment. Scientific Reports. 2016; 6: 20873. DOI: 10.1038/srep20873. (IF: 5.288) 10. Li Y, Wang X, Li Y, Sun Y, Sheng C, Li H, Li X, Yu Y, Chen G, Hu X, Jing B, Wang D, Li K, Jessen F, Xia M*, Han Y*. Abnormal Resting-State Functional Connectivity Strength in Mild Cognitive Impairment and its Conversion to Alzheimer's Disease. Neural Plasticity. 2016, 2016 (3): 1-12. (IF: 3.568) 11. Li Y, Sheng C, Sun Y, Li H, Hu Z, Li X, Wang X, Jia J, He Y, Han Y*. Longitudinal resting-state functional MRI studies of amnestic mild cognitive impairment and Alzheimer’s disease. Translational Medicine at Capital Medical University: Investigating Major Chronic Diseases (Science/AAAS, Washington, DC, 2015): 12-16. 12. Sun Y, Yang F, Lin C*, Han Y*. Biochemical and Neuroimaging Studies in Subjective Cognitive Decline: Progress and Perspectives. CNS Neuroscience & Therapeutics. 2015, 21 (10): 768-775. (IF: 4.019) 13. Yi L, Liang X, Liu D, Sun B, Ying S, Yang D, Li Q, Jiang C*, Han Y*. Disrupted Topological Organization of Resting-State Functional Brain Network in Subcortical Vascular Mild Cognitive Impairment. CNS Neuroscience & Therapeutics. 2015, 21(10): 846-854. (IF: 4.019) 14. Zou X, Chung YC, Zhang L, Han Y, Yang Q, and Jia J, Middle Cerebral Artery Atherosclerotic Plaques in Recent Small Subcortical Infarction: A Three-Dimensional High-resolution MR Study. BioMed Res Int. 2015, 2015: (540217). (IF: 2.134) 15. Ma L, Chen J, Wang R*, Han Y, Zhang J, Dong W, Zhang X, Wu Y, Zhao Z. The Level of Alzheimer-Associated Neuronal Thread Protein in Urine may be an Important Biomarker of Mild Cognitive Impairment. Journal of Clinical Neuroscience. 2015, 22: 649-652. (IF: 1.387) 16. Zhao Z, Fan F, Lu J, Li H, Jia L, Han Y, Li K*. Changes of Gray Matter Volume and Amplitude of Low-Frequency Oscillations in Amnestic MCI: an Integrative Multi- modal MRI Study. Acta Radiologica. 2015, 56 (5): 614-621. (IF: 2.009) 17. Song H, Long H, Zuo X, Yu C, Liu B, Wang Z, Wang Q, Wang F, Han Y, Jia J*. APOE effects on default mode network in Chinese cognitive normal elderly: relationship with clinical cognitive performance. PLoS One. 2015, 10(7): e0133179. (IF: 3.057) 18. Ma L, Wang R*, Han Y*, Sheng S, Zhu J, Ji Z, Zhao Z, Cao Z, Wang P. Development of a Novel Urine Alzheimer-Associated Neuronal Thread Protein ELISA Kit and Its Potential Use in the Diagnosis of Alzheimer’s Disease. Journal of Clinical Laboratory Analysis. 2015, doi: 10.1002/jcla.21856. (IF: 1.549) 19. Xie Y, Cui Z, Zhang Z, Sun Y, Sheng C, Li K, Gong G*, Han Y*, Jia J*. Identification of amnestic mild cognitive impairment using multi-modal brain features: A combined structural MRI and diffusion tensor imaging study. J Alzheimers Dis. 2015;47 (2):509-22. (IF: 3.920) 20. Ma L, Chen J, Wang R, Han Y, Zhang J, Dong W, Zhao Z, Liu Y, Chu X. Alzheimer-associated urine neuronal thread protein level increases with age in a healthy Chinese population.
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