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 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, 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#, 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. J Clin Neurosci. 2014, 21(12): 2118-21. (IF: 1.387) 21. Li X, Sun Y, Han Y*. Development of Subjective Cognitive Decline. Neuroscience and Biomedical Engineering. 2015, 3 (1): 1-4. 22. 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 Neuroscience. 2014, 34 (32): 1054Z1-10553. (IF: 5.924) 23. Jia J, Zhou A, Wei C, Jia X, Wang F, Li F, Wu X, Mok V, Gauthier S, Tang M, Chu L, Zhou Y, Zhou C, Cui Y, Wang Q, Wang W, Yin P, Hu N, Zuo X, Song H, Qin W, Wu L, Li D, Jia L, Song J, Han Y, Xing Y, Yang P, Li Y, Qiao Y, Tang Y, Lv J, Dong X. The Prevalence of Mild Cognitive Impairment and its Etiological Subtypes in Elderly Chinese. Alzheimers & Dementia. 2014, 10 (4): 439-447. (IF: 11.619) 24. Yin C#, Yi L,#, Jia L, Wang J, Liu P, Guo Y, Han Y*.Early morphological brain abnormalities in patients with amnestic mild cognitive impairment. Translational Neuroscience. 2014, 5 (4): 253-259. (IF: 1.012) 25. Hu Z, Wu L, Jia J, Han Y*. Advances in longitudinal studies of amnestic mild cognitive impairment and Alzheimer’s disease based on multi-modal MRI techniques. Neuroscience Bulletin. 2014, 30 (2): 198-206. (IF: 2.322) 26. Zhao Z, Lu J, Jia X, Chao W, Han Y, Jia J, Li K. Selective Changes of Resting- State Brain Oscillations in aMCI: An fMRI Study Using ALFF. Biomed Res Int. Volume 2014, Article ID 920902. (IF: 2.134) 27. Wang Z, Liang P, Zhao Z, Han Y, Song H, Xu J, Li K .Acupuncture Modulates Resting State Hippocampal Functional Connectivity in Alzheimer Disease. PLoS One. 2014, 7(8): e42730. (IF: 3.057) 28. Zuo X, Anderson J, Bellec P, Birn R, Biswal B, Blautzik J, Breitner J, Buckner R, Calhoun V, Castellanos F, Chen A, Chen B, Chen J, Chen X, Colcombe S, Courtney W, Craddock R, Di Martino A, Dong HM, Fu X, Gong Q, Gorgolewski K, Han Y, He Y, He Y, Ho E, Holmes A, Hou XH, Huckins J, Jiang T, Jiang Y, Kelley W, Kelly C, King M, LaConte S, Lainhart J, Lei X, Li H, Li K18, Li K27, Lin Q, Liu D, Liu J, Liu X, Liu Y, Lu G, Lu J, Luna B, Luo J, Lurie D, Mao Y, Margulies D, Mayer A, Meindl T, Meyerand M, Nan W, Nielsen J, O'Connor D, Paulsen D, Prabhakaran V, Z, Qiu J, Shao C, Shehzad Z, Tang W, Villringer A, Wang H, Wang K, Wei D, Wei G, Weng X, Wu X, Xu T, Yang N, Yang Z, Zang Y, Zhang L, Zhang Q, Zhang Z, Zhang Z, Zhao K, Zhen Z, Zhou Y, Zhu X, Milham M. An open science resource for establishing reliability and reproducibility in functional connectomics. Sci Data. 2014, 1:140049. 29. Jia J, Wang F, Wei C, Zhou A, Jia X, Li F, Tang M, Chu L, Zhou Y, Zhou C, Cui Y, Wang Q, Wang W, Yin P, Hu N, Zuo X, Song H, Qin W, Wu L, Li D, Jia L, Song J, Han Y, Xing Y, Yang P, Li Y, Qiao Y, Tang Y, Lv J, Dong X. The Prevalence of Dementia in Urban and Rural Areas of China. Alzheimers & Dementia. 2014, 10 (1):1-9. (IF: 11.619) 30. Han Y*, Zhang J, Chen N, He L, Zhou M, Zhu C. Corticosteroids for preventing postherpetic neuralgia. Cochrane Database Syst Rev. 2013, 28 (3): CD005582. 31. Liu J, Yin C, Xia S, Jia L, Guo Y, Zhao Z, Li X*, Han Y*, Jia J. White matter changes in patients with amnestic mild cognitive impairment detected by diffusion tensor imaging. PLoS One. 2013, 8(3): e59440. (IF: 3.057) 32. Wang J, Zuo X, Dai Z, Xia M, Zhao Z, Zhao X, Jia J, Han Y, He Y*. Disrupted Functional Brain Connectome in Individuals at Risk for Alzheimer's disease. Biol Psychiatry. 2013, 73 (5): 472-81.(IF: 11.212) 33. Yi L, Wang J, Jia L, Zhao Z, Lu J, Li K, Jia J, He Y, Jiang C*, Han Y*. Structural and Functional Changes in Subcortical Vascular Mild Cognitive Impairment: a Combined Voxel-Based Morphometry and Resting-State Functional MRI Study. PLoS One. 2012, 7 (9): e44758. (IF: 3.057) 34. Wang Z, Nie B, Li D, Zhao Z, Han Y, Song H, Xu J, Shan B, Lu J*, Li K*. Effect of Acupuncture in Mild Cognitive Impairment and Alzheimer’s Disease: A Functional MRI Study. PLoS One. 2012, 7 (8): e42730. (IF: 3.057) 35. Han Y#*, Lui S#, Wang K, Lang Q, Zou L, Jia J. Anatomical and functional deficits in patients with amnestic mild cognitive impairment. PLoS One. 2012, 7 (2): e28664. (IF: 3.057) 36. Wang Z, Liang P, Jia X, Jin G, Song H, Han Y, Lu J, Li K. The baseline and longitudinal changes of PCC connectivity in mild cognitive impairment: a combined structure and resting-state fMRI study. PLoS One. 2012, 7(5): e36838. (IF: 3.057) 37. 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: 5.463) 38. Hu Z, Wang J, Lang Y, Jia J, Han Y*. Comparison of the neuropsychological characteristics of two subtypes of Mild Cognitive Impairment. Shanghai Archives of Psychiatry. 2011, 23 (5): 265-270. 39. Li S#, Han Y#, Wang D, Yang H, Fan Y, Lv Y, Tang H, Gong Q, Zang Y, He Y*. Mapping surface variability of the central sulcus in musicians. Cereb Cortex. 2010, 20(1): 25-33. ( IF: 8.285) 40. Han Y, Yang H, Lv Y, Zhu C, He Y, Tang H, Gong Q, Luo Y, Zang Y*, Dong Q. Gray Matter Density and White Matter Integrity in Pianists' Brain: a Combined Structural and Diffusion Tensor MRI Study. Neurosci Lett. 2009, 459 (1): 3-6. (IF: 2.107) 41. Lv Y, Yang H, Wang D, Li S, Han Y, Zhu C, He Y, Tang H, Gong Q, Zang Y*. Correlations in Spontaneous Activity and Gray Matter Density Between Left and Right Sensoritmotor Areas of Pianists. NeuroReport. 2008, 19 (6): 631-634. (IF: 1.343) 42. Han Y*, Li E, Tian J, Chen J, Wang H, Dai J. The Application of Diffusion and Perfusion-Weighted Magnetic Resonance Imaging in the Diagnosis and Therapy of Acute Cerebral Infarction. International Journal of Biomedical Imaging, Volume 2006, Article ID 20164:1-11.

International Conference:

43. Zhao TD, Sheng C, Shu N, Han Y*. Accelerated disruption of brain structural connectome with aging in amnestic mild cognitive impairment. The Lancet Neurology Conference, 2016, London, UK. Poster 44. Yu Y, Liang XY, Xie YY, Chen GQ, Li XY, Wang XN, Sun Y, Yin CH, Gong GL, Han Y*.How does white matter connectivity differ between the vascular and degenerative pre-dementia?. The Lancet Neurology Conference, 2016, London, UK. Poster 45. Sun Y, Zhu ZJ, Li XY, Niu HJ, Han Y*. Tracking regional connectivity dynamics in patients with mild cognitive impairment and Alzheimer’s disease. The Lancet Neurology Conference, 2016, London.UK Poster 46. Wang XN, Bi QH, Shu N, Han Y*. Disrupted white matter structural connectome in individuals with subjective cognitive decline. The Lancet Neurology Conference, 2016, London, UK. Poster 47. Li YX, Jing B, Han Y*. Frequency-dependent changes in the amplitude of low- frequency fluctuations in mild cognitive impairment with depression. The Lancet Neurology Conference, 2016, London, UK. Poster 48. Sun Y, Zhu Z, Li X, Niu H, Han Y*. Tracking regional connectivity dynamics in patients with mild cognitive impairment and Alzheimer’s disease. AAIC, 2016, Toronto. Poster 49. Li X, Zhu Z, Sun Y, Niu H, Han Y*. Abnormal Dynamical Signal Complexity in Patients with Mild Cognitive Impairment and Alzheimer’s Disease: A Multiscale Entropy Analysis. AAIC, 2016, Toronto, Poster. 50. Yu Y, Liang X, Xie Y, Chen C, Li X, Wang X, Sun Y, Sheng C, Li K, Yin C, Gong G, Han Y*. How Does White Matter Connectivity Differ Between the Vascular and Degenerative Pre-Dementia? AAIC, 2016, Toronto, Poster. 51. Li H, Tang Z, Han Y*. Tract-Based Spatial Statistics Analysis Of White Matter Change in Subjected With Subjected Cognitive Decline. AAIC, 2016, Toronto, Poster. 52. Li Y, Jing B, Han Y*. Frequency-dependent changes in the amplitude of low- frequency fluctuations in mild cognitive impairment with depression. AAIC, 2016, Toronto, Poster. 53. Li X, Tang Z, Sun Y, Liu Z, Han Y*. Diffusion Tensor Imaging Study in the Detection of White Matter Degeneration in Subjective Cognitive Decline. AAIC, 2016, Toronto, Poster. 54. Sheng C#, Zhao T#, Niu W, Bi Q, Shu N*, Han Y*. Age-Related Topological Disruption of the White Matter Structural Network in Amnestic Mild Cognitive Impairment. AAIC, 2016, Toronto, Canada. Poster. 55. Wang X, Bi Q, Shu N, Han Y*. Abnormal Organization of White Matter Networks in Subjective Cognitive Decline. 82.AAIC, 2016, Toronto, Canada. Poster. 56. Li XY, Sheng C, Xie YY, Yang Q, Yin CH, Li KC, Han Y. Evaluating the establishment of collateral vessels by using contrast enhance magnetic resonance angiography in patients with acute cerebral infarction. ESC, 2016, Venice. Late breaking poster. 57. Wang XN, Sheng C, Yin CH, Yang Q, Li KC, Han Y. Effect of Human Urinary Kallidinogenase on Collateral Circulation and Blood Perfusion in Patients with Acute Cerebral Infarction. ESC, 2016, Venice. Oral presentation. 58. Sun Y, Dai Z, He Y, Han Y. Mapping Functional and Structural Brain Changes in Subjective Cognitive Decline. AAIC, 2015, Washington D.C. Oral presentation. 59. Li X, Han Y. Development of Subjective Cognitive Decline. The 9th International Conference on CME, 2015, Japan. Oral presentation. 60. Sheng C #, Xia M #, Hu Z, Li K, He Y *, Jia J*, Han Y. Decreased resting-state functional connectivity strength in amnestic MCI-to-AD converters and non- converters. AAIC, 2014, Copenhagen. Poster. 61. Hu Z, Xia M, He Y, Jia J, Han Y*. Decreased resting-state functional connectivity of posterior cingulate cortex in amnestic MCI-to-AD converters and non-converters. AAIC, 2013, Boston. Oral presentation. 62. Yin C, Guo Y, Li X, Zhao Z, Han Y*.Changes in white matter integrity in amnestic mild cognitive impairment: a diffusion tensor imaging study. AOCN the 13th annual meeting, 2012, Australia. Poster. (Young investigator encouragement grant) 63. Yi L, Wang J, He Y, Jiang C, Han Y*. Detection of PCC functional connectivity characteristics in subcortical vascular mild cognitive impairment: A resting-state fMRI study. AAIC, 2012, Canada. Poster. 64. Yi L, Wang J, Liu PF, He Y, Jiang C, Han Y*. Structural and Functional Changes in Vascular Cognitive Impairment No Dementia: a Combined VBM and Resting-State fMRI study. 17th Annual Meeting of the Organization for Human Brain mapping, June, 2011, Quebec, Canada. Poster. 65. Han Y, Wang J, Zhao Z, Zhan P, Huang R, Wang J, Lu J, Tang Y, Li K, He Y*, Jia J*.Frequency-dependent changes in spontaneous brain activity in amnestic mild cognitive impairment (aMCI): a resting-state fMRI study. OHBM the 16th annual meeting, 2010, Bacelona, Spain. Poster. 66. Han Y, Yang H, L Y, Zhu C, He Y, Tang H, Gong Q, Luo Y, Zang Y*, Dong Q. Gray matter density and white matter integrity in pianist’s brain: a combined structural and diffusion-tensor MRI study. OHBM the 14th annual meeting. 2008. Melbourne, Australia. Poster.