韩璎

　　韩璎，女，教授，博士生导师，首都医科大学宣武医院神经内科主任医师、中国AD临床前期联盟负责人、北京认知神经科学学会第一届理事长。1988年毕业于哈尔滨医科大学;2000-2001年国家教委留学基金委选派赴法国里尔地区医疗中心Roger Salengro医院神经内科记忆中心深造。2008年于北京师范大学认知神经科学与学习国家重点实验室获理学博士，自此主要从事AD临床诊疗和认知障碍的神经影像学研究工作，其主要研究成果发表在神经影像权威期刊CC(IF:8.285)、Radiology(IF:6.798)、JN(IF:5.924)、NI(IF:5.463)等，引起国内外同行关注。担任一项国家重点研发项目“阿尔茨海默病早期诊断新技术研发”(2016YFC1306300)子课题组长;分别主持、参与国自然重点项目各一项(61633018、81430037);主持国自然面上项目2项(30970823，31371007);参与北京市自然科学基金重点项目 (7161009);分别主持、参与北京市科委首都市民健康培育项目各一项(Z131100006813022， Z161100002616020);参与首都医科大学基础临床合作项目 (16JL-L08);主持中科院心理所行为科学重点实验室开放基金(20160101)及顺义区卫计委资助“AD临床前期SCD筛查”流调项目，累积获得国家及北京市等课题经费资助近1000万元。担任中华医学会放射学分会磁共振专委会委员;为国家老年疾病临床医学研究中心——中国AD临床前期联盟多中心数据研究的发起人。

　　近期发表英文文章(*通讯作者#共同第一作者):

　　1. Xuanyu Li#, Xiaoni Wang#, Li Su, Xiaochen Hu, Ying Han*. Sino Longitudinal Study on Cognitive Decline (SILCODE): protocol for a Chinese longitudinal observational study to develop risk prediction models of conversion to mild cognitive impairment in individuals with subjective cognitive decline. BMJ Open. Accept (25-Jun-2019) (IF2.376)

　　2. Yunyan Xie#, Tiantian Liu, Jing Ai, Duanduan Chen, Yiran Zhuo, Guanglei Zhao, Shuai He, Jinglong Wu, Ying Han* and Tianyi Yan*.Changes in Centrality Frequency of the Default Mode Network in Individuals With Subjective Cognitive Decline. Front. Aging Neurosci. 20 June 2019 | https://doi.org/10.3389/fnagi.2019.00118. (IF3.633)

　　3. Yu Sun#, Xiaoni Wang#, Yinshan Wang#, Haoming Dong, Jie Lu, Tohar Scheininger, Michael Ewers, Frank Jessen, Xi-Nian Zuo and Ying Han*. Anxiety correlates with cortical surface area in subjective cognitive decline: APOE ε4 carriers versus APOE ε4 non-carriers. Alzheimer's Research & Therapy. 2019, 11:50. (IF: 6.142)

　　4. Haijing Niu, Zhaojun Zhu#, Mengjing Wang#, Xuanyu Li, Zhen Yuan, Yu Sun*, Ying Han*. Abnormal dynamic functional connectivity and brain states in Alzheimer’s diseases: functional near-infrared spectroscopy study. Neurophotonics. 2019, 6(2), 025010 (Apr–Jun 2019) (IF: 3.581)

　　5. Jiachen Li#, Dan Jin#, Ang Li, Bing Liu, Chengyuan Song, Pan Wang, Dawei Wang, Kaibin Xu, Hongwei Yang, Hongxiang Yao, Bo Zhou, Alexandre Bejanin, Gael Chetelat, Tong Han, Jie Lu, Qing Wang, Chunshui Yu, Xinqing Zhang, Yuying Zhou, Xi Zhang, Tianzi Jiang, Yong Liu*, Ying Han*. ASAF: Altered Spontaneous Activity Fingerprinting in Alzheimer’s Disease Based on Multisite fMRI. Science Bulletin. 2019. (IF:6.277)

　　6. Ziqi Wang#, Kaini Qiao#, Guanqun Chen, Danyang Sui, Hao-Ming Dong, Yin-Shan Wang, Hui-Jie Li, Jie Lu, Xi-Nian Zuo and Ying Han*. Functional Connectivity Changes across the Spectrum of Subjective Cognitive Decline, Amnestic Mild Cognitive Impairment and Alzheimer's Disease. Frontiers in Neuroinformatics. 2019. DOI: 10.3389/fninf.2019.00026. (IF: 2.68)

　　7. Tianyi Yan*, Yonghao Wang, Zizheng Weng, Wenying Du, Tiantian Liu, Duanduan Chen, Xuesong Li, Jinglong Wu, Ying Han*. Early-Stage Identification and Pathological Development of Alzheimer's Disease Using Multimodal MRI. J Alzheimers Dis. 2019, DOI 10.3233/JAD-181049. (IF: 3.517)

　　8. Yang Hu#, Wenying Du#, Yiwen Zhang, Ying Han*, Zhi Yang*. Loss of Parietal Memory Network Integrity in Alzheimer’s Disease. Frontiers in Aging Neuroscience.2019. (IF:3.633)

　　9. Weina Zhao#, Yishan Luo#, Lei Zhao, Vincent Mok, Li Su, Changhao Yin, Yu Sun, Jie Lu, Lin Shi*, and Ying Han*. Automated brain MRI volumetry differentiates early stages of Alzheimer’s disease from normal aging.Journal of Geriatric Psychiatry and Neurology.2019.(IF:2.747)

　　10. Weina Zhao#, Xuetong Wang, Changhao Yin, Mengfei He, Shuyu Li* and Ying Han*. Trajectories of The Hippocampal Subfields Atrophy in the Alzheimer’s Disease: A Structural Imaging Study. Frontiers in Neuroinformatics.2019.doi: 10.3389/fninf.2019.00013.(IF: 2.68)

　　11. Yu Sun#, Qiuhui Bi#, Xiaoni Wang#, Xiaochen Hu, Huijie Li, Xiaobo Li, Ting Ma, Jie Lu, Piu Chan, Ni Shu*, Ying Han*. Prediction of conversion from amnestic mild cognitive impairment to Alzheimer’s disease based on the brain structural connectome. Frontiers in Neurology. 2019, 9:1178. doi: 10.3389/fneur.2018.01178. (IF: 2.635)

　　12. Liu Yang#, Yan Yan#, Yonghao Wang, Xiaochen Hu, Jie Lu, Piu Chan, Tianyi Yan*, Ying Han*. Gradual disturbances of the amplitude of low-frequency fluctuations (ALFF) and fractional ALFF in Alzheimer spectrum. Frontiers in Neuroscience. 2018, 12: 975. doi: 10.3389/fnins.2018.00975 (IF: 3.877) (IF:3.648)

　　13. Li Lin, Guoqiang Xing*, Ying Han*. Advances in Resting State Neuroimaging of Mild Cognitive Impairment. Frontiers in Psychiatry, 2018(accepted), doi: 10.3389/fpsyt.2018.00671. (IF:2.86) (IF:3.161)

　　14. Xuanyu Li#, Zhaojun Zhu#, Weina Zhao#, Yu Sun, Dong Wen, Yunyan Xie, Xiangyu Liu, Haijing Niu*, Ying Han*. Decreased resting-state brain signal complexity in patients with mild cognitive impairment and Alzheimer’s disease: a multi-scale entropy analysis. Biomedical Optics Express, 2018, 9(4):1916-1929.(IF: 3.337) (IF:3.91)

　　15. Tianyi Yan#*, Wenhui Wang#，Liu Yang#, Kewei Chen, Rong Chen, and Ying Han*. Rich-Club disturbances of the human connectome from Subjective Cognitive Decline to Alzheimer’s Disease. Theranostics. 2018, 8(12): 3237-3255. (IF: 8.712) (IF:8.063)

　　16. Qian Sun#, Guan-Qun Chen#, Xi-Bin Wang, Ying Yu, Yu-Chuan Hu, Lin-Feng Yan, Xin Zhang, Yang Yang, Jin Zhang, Bin Liu, Cong-Cong Wang, Yi Ma, Wen Wang*,Ying Han* and Guang-Bin Cui*. Alterations of White Matter Integrity and Hippocampal Functional Connectivity in Type 2 Diabetes Without Mild Cognitive Impairment. Front. Neuroanat. 20 March 2018 . (IF: 3.26) (IF:2.923)

　　17. Shu N, Wang XN, Bi QH, Zhao TD, Han Y*. Disrupted Topologic Efficiency of White Matter Structural Connectome in Individuals with Subjective Cognitive Decline. Radiology, 2018, 286 (1):229-238.(IF: 7.296)(IF:7.608)

　　18. Sheng C, Huang Y, Han Y*. Dissection of prodromal Alzheimer's disease. Front Biosci (Landmark Ed). 2018 Jan 1;23: 1272-1291. (IF: 2.497) (IF:2.214)

　　19. Liu X, Chen X, Zheng W, Xia M, Han Y, Song H, Li K, He Y, Wang Z (2018) Altered Functional Connectivity of Insular Subregions in Alzheimer's Disease. Frontiers in aging neuroscience 10:107. (IF:3.633)

　　20. Jiang Lili(*), Sui Danyang, Qiao Kaini, Dong Hao-Ming, Chen Luonan, Han Ying(*), Impaired functional criticality of human brain during Alzheimer’s Disease progression, Scientific Report, 2018, 8(1):1324. (IF: 4.259) (IF:4.011)

　　21. Guan-Qun Chen#, Xin Zhang#, Yue Xing, Dong Wen, Guang-Bin Cui*, and Ying Han*. Resting-state functional magnetic resonance imaging shows altered brain network topology in Type 2 diabetic patients without cognitive impairment. Oncotarget, 2017, 8(61): 104560-104570 (IF: 5.168)

　　22. Tengda Zhao#, Can Sheng#, Qiuhui Bi#, Weili Niu, Ni Shu*, Ying Han*. Age-related differences in the topological efficiency of the brain structural connectome in amnestic mild cognitive impairment. Neurobiol Aging. 2017, Nov;59:144-155. (IF=5.117) (IF:4.398)

　　23. Lixiao Hao, Xiaoni Wang, Ling Zhang, Yue Xinge, Qihao Guo,

　　Xiaochen Hu, Bin Mu, Yili Chen Guanqun Chen, Jing Cao, Xiaodong Zhi, Jiaojiao Liu, Xuanyu Li, Liu Yang, Jiachen, Li, Wenying Du, Yu Sun,

　　Ting Wang, Zhen Liu, Zheng Liu, Xuexue Zhao, Hongyan Li, Yang Yu, Xue Wang, Jianguo Jiap*, Ying Han*. Prevalence, Risk Factors and Complaints Screening Tool exploration of Subjective Cognitive Decline in a large cohort of Chinese population. J Alzheimers Dis.2017, 60(2):371-388. (IF: 3.731)(IF:3.517)

　　24. Sheng C#, Xia MR#, Yu HK, Huang Y, Lu Y, Liu F, He Y, Han Y*. Abn-ormal Global Functional Network Connectivity and its Relationship to Medial Temporal Atrophy in Patients with Amnestic Mild Cognitive Impairment. PLoS One. 2017,Jun 26;12(6):e0179823. (IF: 2.806) (IF:2.776)

　　25. Yuxia Li#, Bin Jing#, Han Liu, Yifan Li, Xuan Gao, Yongqiu Li, Bin Mu, Haikuo Yu, Jinbo Cheng, Peter B. Barker, D.Phil., Hongxing Wang* and Ying Han*. Frequency-dependent changes in the amplitude of low-frequency fluctuations in mild cognitive impairment with mild depression. J Alzheimers Dis. 2017; 58(4):1175-1187. doi: 10.3233/JAD-161282. (IF: 3.731)(IF:3.517)

　　26. Hu X, Uhle F, Fliessbach K, Wagner M, Han Y, Weber B, Jessen F. Reduced future-oriented decision making in individuals with subjective cognitive decline: A functional MRI study [J]. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 2017, 6:222-231. (IF：9.478)(IF:14.423)

　　27. Liu J, Liang P*, Yin L, Shu N, Zhao T, Xing Y, Li F, Zhao Zh, Li K*, Han Y*. White matter abnormalities in two different subtypes of amnestic mild cognitive impairment. PLoS One, 2017, 12(1):e0170185. (IF: 2.806) (IF:2.776)

　　28. Zheng LJ, Yang GF, Zhang XY, Wang YF, Liu Y, Zheng G, Lu GM, Zhang LJ, Han Y*. Altered Amygdala and Hippocampus Effective Connectivity in Mild Cognitive Impairment Patients with Depression: a Resting-State Functional MR Imaging Study with Granger Causality Analysis. Oncotarget, 2017, 8(15):25021-25031. (IF: 5.168)

　　29. XC Hu, H Kleinschmidt, JA Martin, Y Han, M Thelen, D Meiberth, F Jessen, B Weber. A Reduction in Delay Discounting by Using Episodic Future Imagination and the Association with Episodic Memory Capacity. Frontiers in Human Neuroscience. 2017, 10: 663. doi: 10.3389./fnhum.2016.00663. (IF: 3.277) (IF:2.87)

　　30. 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, 2017, 8(1):42-50. (IF: 5.168)

　　31. Xiaoling Yuan, Ying Han, Yongbin Wei, Mingrui Xia, Can Sheng, Jianping Jia,* Yong He. Regional homogeneity changes in amnestic mild cognitive impairment patients. Neurosci Lett. 2016; 629: 1-8. (IF:2.173)

　　32. 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(31): 48953-48962. (IF: 5.168)

　　33. 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, 331: 169-176. (IF: 3.277) (IF:3.244) 0

　　34. 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(34): 54405-54414. (IF: 5.168) 1

　　35. 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: 2.006) (IF:2.62)

　　36. 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, Oct; 281(1):185-92. (IF: 7.296) (IF:7.608) 4

　　37. 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 X-ray Sci Technol. 2016, 24 (2): 329-342. (IF：0.699)(IF:1.662)

　　38. 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. (IF: 3.054) (IF:3.591)

　　39. 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: 4.259) (IF:4.011)

　　40. 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: 3.054) (IF:3.591)

　　41. 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)

　　42. 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: 3.919) (IF:3.394)

　　43. 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: 3.919) (IF:3.394)

　　44. 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: 2.476) (IF:2.197)

　　45. 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: 1.557) (IF:1.593)

　　46. 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: 2.011) (IF:1.586)

　　47. 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: 2.806) (IF:2.776)

　　48. 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: 1.521) (IF:1.728)

　　49. 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: 3.731) (IF:3.517)

　　50. Li X, Sun Y, Han Y*. Development of Subjective Cognitive Decline. Neuroscience and Biomedical Engineering. 2015, 3 (1): 1-4.

　　51. 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: 1.557) (IF:1.593)

　　52. 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：5.988) (IF:6.047)

　　53. 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: 9.478) (IF:14.423)

　　54. 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: 0.922) (IF:2.038)

　　55. 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：2.624) (IF:4.246) 0

　　56. 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: 2.476) (IF:2.197)

　　57. 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: 2.806) (IF:)2.776 04

　　58. 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, Qi 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. (IF: 4.836) (IF:5.929) 03

　　59. 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: 9.478) (IF:14.423)

　　60. 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. (IF: 6.124) 0

　　61. 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：2.806) 5

　　62. 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：11.412) 84

　　63. 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: 2.806)

　　64. 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: 2.806)

　　65. 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：2.806) 71

　　66. 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: 2.806) 3

　　67. 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. 16 (IF：5.835)

　　68. 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.

　　69. 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：6.559) 5

　　70. 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：2.18) 9

　　71. 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：1.395) 0

　　72. 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.

　　近期发表中文核心期刊文章(*通讯作者):

　　73. 中华医学会放射学分会磁共振学组与北京认知神经科学学会, 阿尔茨海默病 MR 检查规范中国专家共识. 中华放射学杂志, 2019. 53(8): 1-7.

　　74. 韩璎*，中国阿尔茨海默病临床前期主观认知下降的诊治策略. 中国临床医学影像杂志，2018, 29(8): 534-538.

　　75. 韩璎*，陈观群，中国AD临床前期联盟：开启我国阿尔茨海默病临床研究新时代.医学研究杂志[J].2018. 47(7): 1-4.

　　76. 杨柳，李轩宇，韩璎*，重视后部皮质萎缩诊断新标准. 医学研究杂志，2018,47(3)：161-164.

　　77. 陈观群，韩璎*, 阿尔茨海默病临床前期研究的兴起、挑战及思考. 中华神经科杂志[J].2018. 51(1): 75-78.

　　78. 穆斌，王照丹，景斌*，于海阔，韩璎*.抑郁状态对认知影响的脑功能网络特征研究[J].医学研究杂志，2017，46(8)：39-44.

　　79. 郝立晓，韩璎*，贾建国*.主观认知下降社区筛查工具应用现状[J].中国全科医学, 2017, 20(19):2324-2328..

　　80. 杜文莹, 韩璎*. 早期诊断阿尔茨海默病中神经心理学量表的研究进展[J]. 医学研究杂志, 2017, 46(1)：5-7.

　　81. 孙宇，韩璎*，戴建平.血管性认知障碍诊断标准的演变与解读.中国卒中杂志，2017，12(1)：13-17.

　　82. 韩璎*，王晓妮. 基于分子影像的阿尔茨海默病早期研究进展. 中华老年医学杂志，2017，36(1)：5-7.

　　83. 韩璎*, 戴建平. 处于研究转折中的阿尔茨海默病——解读2016年Lancet新论述. 医学研究生学报, 2016,29(12):1233-1236.

　　84. 李瑜霞，王晓妮，孙字，夏明睿，李永秋，李一凡，李坤成，韩璎*. 轻度认知障碍患者痴呆转化预测的结构MRI纵向研究. 中华神经医学杂志. 2016, 15(4): 384-390.

　　85. 李瑜霞，李永秋，孙宇，盛灿，李红艳，牛海晶，韩璎*. 源于阿尔茨海默病的轻度认知障碍患者脑结构及静息态功能磁共振研究进展. 中国临床医学影像杂志. 2016, 27(2)：131-134.

　　86. 于海阔，李轩宇，刘祥玉，孙宇，牛海晶，韩璎*. 阿尔茨海默病患者脑血氧信号复杂度的多尺度熵分析. 医学研究生学报，2016，29(12)：1244-1248.

　　87. 郝立晓, 贾建国, 韩璎, 孙宇，王晓妮. 主观认知下降社区管理研究现状. 中国全科医学, 2016, 19(35):4285-4290.

　　88. 韩璎*，孙宇. 阿尔茨海默病早期诊断标志物研究进展. 医学研究杂志，2016，45(8)：1-4.

　　89. 李嘉辰，李轩宇，于洋，陈观群，王晓妮，谢云燕，韩璎*. 不同来源认知下降主诉对阿尔茨海默病诊断和预后的价值. 中国医药导报, 2016, 13(15): 40-43.

　　90. 中国医师协会检验医师分会阿尔茨海默病检验医学专家委员会. 阿尔茨海默病检验诊断报告模式专家共识. 中华医学杂志，2016，96(14)：1080-1082. 委员会成员：主任委员：王培昌;副主任委员(按姓氏汉语拼音排列)：陈葳、胡晓芳;委员(按姓氏汉语拼音排列)：陈葳、丁海涛、杜彦丹、韩璎、胡晓芳、贾建平、李伟皓、李玉生、刘平、刘薇拉、屈秋民、任春锋、王培昌、王启广、王万海、王晓琴、张跃其、赵昕、周义文

　　91. 盛灿#，夏明睿#，陈晓丹，孙宇，王晓妮，李红艳，李瑜霞，李轩宇，于洋，陈观群，贺永，李坤城，韩璎*. 遗忘型轻度认知障碍患者的静息态功能连接强度特征研究. 中华放射学杂志，2016，50(3)：191-195.

　　92. 李瑜霞，李永秋，孙宇，盛灿，李红艳，牛海晶，韩璎*. 源于阿尔茨海默病的轻度认知障碍患者脑结构及静息态功能磁共振研究进展.中国临床医学影像杂志，2016，27(2)：131-134.

　　93. 盛灿，李瑜霞，谢云燕，张忠敏，孙宇，王晓妮，李红艳，李轩宇，于洋，陈观群，尹昌浩，李坤成，杨旗，韩璎*. 人尿激肽原酶对急性脑梗死侧支循环与脑血流灌注影响的多模态MRI研究. 中国临床医学影像杂志，2016，27(2)：77-81.

　　94. 李红艳，唐振超，盛灿，孙宇，李瑜霞，王晓妮，于洋，李轩宇，陈观群，李坤成，田捷，刘振宇，韩璎*. 对主观认知下降人群基于TBSS白质损伤研究. 中国临床医学影像杂志，2015，26(12)：848-852.

　　95. 孙宇，王晓妮，盛灿，李瑜霞，李红艳，赵倩华，韩璎*. 阿尔茨海默病临床前期研究进展. 医学研究杂志， 2015，44(9)：152-154.

　　96. 盛灿，李瑜霞，韩璎*. 行为变异型额颞叶痴呆诊断标准的进展. 医学研究杂志，2015，44(9)：155-158.

　　97. 王晓妮，张朦，李瑜霞，曾扬，盛灿，郝旭阳，孙宇，张逸鹤，李红艳，于洋，李轩宇，陈观群，李坤成，贾建平，唐晓英*，韩璎*. 遗忘型轻度认知障碍患者脑白质网络拓扑特性的改变. 中华神经科杂志，2015，48(9)：740-747.

　　98. 盛灿，夏明睿，韩璎*. 遗忘型轻度认知障碍的静息态功能MRI研究进展. 中国临床医学影像杂志，2015，26(7)：528-530.

　　99. 韩璎*，左西年，李会杰，李淑宇，卢洁，夏明睿，孙宇，王晓妮. 主观认知下降多模态脑影像研究进展. 医学研究杂志，2015，44(6)：1-3.

　　100. 孙宇，王晓妮，盛灿，李瑜霞，李红艳，韩璎*. 主观认知下降研究进展.中华神经科杂志，2015，48(5): 417-419.

　　101. 王晓妮，盛灿综述，韩璎审校. 主观认知下降生物标记物研究进展. 医学研究生学报，2015，28(4)：423-426.

　　102. 王晓妮，唐毅综述，韩璎审校. 阿尔茨海默病诊断标准的演变. 医学研究生学报，2015，28(2)：195-198.

　　103. 韩璎.临床是基础 科研是后劲 ——医学研究生培养之我见. 医学研究生学报，2015，28(1)：1-3.(导师论坛)

　　104. 张忠敏，郭艳琴综述，韩璎，郭佑民审校. 急性脑梗死侧支循环建立的神经影像学评估. 医学研究生学报，2015，28(01)：85-88.

　　105. 胡忠婕，盛灿，孙宇，张忠敏，张伟，李瑜霞，李红艳，孙建平，秦海滨，李坤成，贾建平，韩璎*. 阿尔茨海默病高风险人群的结构和静息态功能MRI特征. 中华神经科杂志，2014,47(12)：824-830.

　　106. 韩璎. 解读NIA-AA新理解对于阿尔茨海默病的二级预防理念影响. 医学研究杂志，2014,43(8)：1-3.(专家论坛)

　　107. 张忠敏，崔再续，郭艳琴，李坤成，贾建平，韩璎*. 基于支持向量机的遗忘型轻度认知障碍个体识别研究. 医学研究生学报，2014, 27(8)：814-819.

　　108. 胡忠婕，陈楠，宋海庆，韩璎*. 遗忘型轻度认知障碍和阿尔茨海默病的多模态MRI研究进展. 中华放射学杂志，2014，48(6)：1-4.

　　109. 韩璎*，李思思. 大学生的常见情绪障碍及调节.湖南师范大学教育科学学报，2013,12 (3)：125-128.

　　110. 赵维纳，贾龙飞，韩璎*. 颅内动脉易损性粥样硬化性斑块MRI研究进展.中华放射学杂志，2013,47(5)：465-468.

　　111. 赵维纳，郭艳芹，韩璎*. 小血管性认知障碍的研究进展.中华临床医师杂志，2013,7(3)：1216-1219.

　　112. 刘江红，韩璎*. 弥散张量成像在轻度认知功能障碍和老年性痴呆中的应用研究进展.中华临床医师杂志，2013,7(1)：254-257.

　　113. 尹昌浩，郭艳芹，韩璎*. 轻度认知障碍研究进展. 医学研究生学报, 2012, 25(9)：977-980.

　　114. 白晶，李宝栋，韩璎*. 蒙特利尔认知评估量表在不同地区应用现状.华西医学, 2012, 27 (4)：637-640.

　　115. 韩璎*，李林英. MoCA在轻度认知障碍诊断中的应用和发展.大连医科大学学报，2012, 34 (1)：81-84.

　　116. 中华医学会神经病学分会痴呆与认知障碍学组写作组.血管性认知障碍诊治指南.中华神经科杂志,2011,44 (2)：142-147. 写作组成员：陈晓春, 丁新生, 高晶, 郭启浩, 韩璎, 黄丽, 贾建平, 李焰生, 罗本燕, 彭丹涛, 唐牟尼, 汪凯, 王荫华, 魏翠柏, 武剑, 武力勇, 肖世富, 张朝东, 章军建,张晓君, 张振馨, 张志琚, 周爱红

　　117. 郎悦，韩璎*，姜长斌，宋海庆，闵保全，贾建平. 轻度认知障碍患者的神经心理学特点初步探讨. 华西医学, 2011，26 (1)：61-65.

　　118. 韩璎*，王正阁，贾建平，轻度认知障碍和阿尔茨海默氏病的磁共振成像研究进展. 医学研究生学报，2011，24 (9)：975-978.

　　119. 衣立业，蒋传路，韩璎*，贾建平. 血管型轻度认知障碍的影响学研究进展. 华西医学，2011，26 (5)：777-780.

　　120. 赵志莲，韩璎，卢洁，贾秀琴，李坤成，张苗，戎冬冬，贾建平. 遗忘型轻度认知损害的全脑灰质基于体素的MRI形态分析. 医学影像学杂志，2011，04：481-484.

　　121. 韩璎*，郎悦. 轻度认知障碍和阿尔茨海默病静息态功能磁共振成像研究进展.神经疾病与精神卫生. 2010，10 (3)：293-296.

　　122. 旃培艳，韩璎*，黄小钦，贾建平. 轻度认知功能障碍心理学特点和危险因素分析. 华西医学，2010，25 (8)：1391-1393.

　　123. 韩璎，王惠芳，李恩中，田捷，J. P. Pruvo，F. Pasquier. DWI与PWI在急性脑梗死诊治中的应用. 国外医学(脑血管疾病分册)，2004，01：41-44.

　　124. 汤先镗，赵颜华，苗青柏，韩璎. 早期徒手康复训练对脑卒中偏瘫患者功能恢复的作用. 中国临床康复，2003，03：412-413.

　　125. 李恩中，韩璎，翁旭初，吴承良，赵长坡，田捷，戴汝为. 事件相关功能MRI在随意运动脑功能活动区协同作用研究中的应用. 中华放射学杂志，2002，05：13-17.

　　126. 韩璎，李恩中，翁旭初，陈楚晖，武少杰. 磁共振功能成像在临床医学中的应用──脑血栓形成的fMRI研究. CT理论与应用研究，2000，02：19-21.

　　127. 李恩中，翁旭初，韩璎，武少杰，庄建程，陈楚晖，冯玲，张侃. Asymmetry of brain functional activation: fMRI study under language and music stimulation. Chinese Medical Journal，2000, 02: 58-62.

　　128. 韩璎，李恩中，马林，刘宝瑞. 脑转移瘤MR特征及Gd—DTPA在诊断中的作用.CT理论与应用研究，1999，03：33-36.

　　129. 李恩中，翁旭初，韩璎，武少杰，庄建程，陈楚晖，冯玲，张侃. 语言与音乐刺激下脑功能活动的MR功能成像研究. 中华放射学杂志，1999，05：22-26.

　　130. 李恩中，韩璎，陈彦. 磁共振脑血管血流分析的临床应用—脑血栓、脑缺血与正常组对比研究. 中国医学影像学杂志，1997，01：38-40.

　　131. 韩璎. 11例小脑梗塞病例分析. 工企医刊，1996，03：17-18.

　　国际会议交流：

　　132. Weina Zhao, Yishan Luo, Lei Zhao, Vincent Mok, Yu Sun, Lin Shi, Ying Han*. Machine Learning Differentiates Early Stages of Alzheimer’s Disease from Normal Aging: A Brain Morphometry Study. AAIC, 2018, Chicago. Poster.

　　133. Ziqi Wang, Lixiao Hao, Bin Mu, Liu Yang, Yu Sun, Xuanyu Li, Guanqun Chen, Xiaoni Wang, Jiachen Li, Wenying Du, Weina Zhao, Ying Chen, Ying Han*. The specific features of subjective cognitive decline: Base on a large cohort study. AAIC, 2018, Chicago. Poster.

　　134. Chen Guanqun, Xia Mingrui, Sun Yu, Li Yuxia, Li Hongyan, Sheng Can, Yu Yang, Wang Xiaoni, Li Xuanyu, Li Jiachen, Hao Lixiao, Mu Bin, Yang Liu, Chen Ying, Zhao Weina, Wang Ziqi, Du Wenying, WangXiaoqi, Ying Han*. The effects of ApoE epsilon4 alleles on cognitive function and resting state functional MRI in patients with amnestic mild cognitive impairment A prospective cohort study. AAIC, 2018, Chicago. Poster.

　　135. Jiachen Li, Dan Jin, Ang Li, Bing Liu, Pan Wang, Dawei Wang, Qing Wang, Chunshui Yu, Xinqing Zhang, Yuying Zhou, Xi Zhang, Tianzi Jiang, Yong Liu, Ying Han*. ASAF: Altered Spontaneous Activity Fingerprinting in Alzheimer’s Disease: a Multicenter fMRI Study (N=688). AAIC, 2018, Chicago. Poster.

　　136. Jiachen Li, Dan Jin, Ang Li, Bing Liu, Pan Wang, Dawei Wang, Qing Wang, Chunshui Yu, Xinqing Zhang, Yuying Zhou, Xi Zhang, Tianzi Jiang, Yong Liu, Ying Han*. ASAF: Altered Spontaneous Activity Fingerprinting in Alzheimer’s Disease: a Multicenter fMRI Study (N=688). OHBM, 2018, Singapore. Poster.

　　137. Liu Yang, Yan Yan, Tianyi Yan*, Ying Han*. Graded Disturbances of the Amplitude of Low-Frequency Fluctuations in Subjective Cognitive Decline to Alzheimer’s Dementia. AAIC, 2018, Chicago. Poster.

　　138. Yu Sun, Qiu-hui Bi, Xiao-ni Wang, Ni Shu*, Ying Han*. Prediction of Conversion from Amnestic Mild Cognitive Impairment to Alzheimer’s Disease Based on Brain Structural Connectome. AAIC, 2018, Chicago. Poster.

　　139. Xuan-Yu Li, Wei-Jie Huang, Ni Shu, Ying Han*. Combined Multi-Kernel Support Vector Machine Classifier and Brain Structural Network Features for the Individual Classification of Subjective Cognitive Decline and Amnestic Mild Cognitive Impairment Patients. AAIC, 2018, Chicago. Poster.

　　140. Lixiao Haoa, Xiaoni Wangb, Ling Zhangd, Yue Xinge,f, Qihao Guog,

　　Xiaochen Huh, Bin Mub, Yili Cheni, Guanqun Chenb, Jing Caoj, Xiaodong Zhik, Jiaojiao Liul, Xuanyu Lib, Liu, Yangb, Jiachen, Lib, Wenying Dub, Yu Sunb,

　　Ting Wanga, Zhen Lium, Zheng Liud, Xuexue Zhaoa, Hongyan Lin, Yang Yuo, Xue Wangt, Jianguo Jiap*, Ying Hanb,c,q,r,s*.Prevalence, Risk Factors and Complaints Screening Tool exploration of Subjective Cognitive Decline in a large cohort of Chinese population. AAIC, 2017, London. Poster.

　　141. Du WY, Dong L, Sun Y, Yao DZ, Han Y*. Multi-model evaluation of Alzheimer’s disease by using joint ICA analysis of fMRI-DTI. AAIC, 2017, London. Poster.

　　142. Sun Y, Zhu ZJ, Li XY, Lin H, Niu HJ, Han Y*. Abnormal Brain Connectivity Dynamics and Brain Activity States in Alzheimer’s Disease. AAIC, 2017, London. Poster.

　　143. Li XY, Sun Y, Zuo XN, Han Y*. Intrinsic Brain Networks of Cognitive Componentsin Subjective Cognitive Decline. AAIC Subjective Cognitive Decline PIA, 2017, London. 2017, Oral presentation.

　　144. Li XY, Sun Y, Zuo XN, Han Y*. Intrinsic Brain Networks of Cognitive Components in Subjective Cognitive Decline. AAIC, 2017, London. Poster.

　　145. Yang L, Wang WH, Wang XN, Li XY, Yan TY, Han Y*. Abnormal rich club organization: a biomarker to detect subjective cognitive decline. AAIC, 2017, London. Oral presentation.

　　146. Chen GQ, Zhang X, Xing Y, Wen D, Cui GB, Han Y*. Disrupted Brain Network Topology in Type 2 Diabetic Patients without Cognitive Impairment: A Resting-state fMRI Study. AAIC, 2017, London. Poster.

　　147. 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

　　148. 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

　　149. 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

　　150. 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

　　151. 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

　　152. 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

　　153. 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.

　　154. 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.

　　155. 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.

　　156. 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.

　　157. 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.

　　158. 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.

　　159. Wang X, Bi Q, Shu N, Han Y*. Abnormal Organization of White Matter Networks in Subjective Cognitive Decline. 82.AAIC, 2016, Toronto, Canada. Poster.

　　160. 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.

　　161. 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.

　　162. 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.

　　163. Li X, Han Y. Development of Subjective Cognitive Decline. The 9th International Conference on CME, 2015, Japan. Oral presentation.

　　164. 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.

　　165. 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.

　　166. 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)

　　167. 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.

　　168. 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.

　　169. 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.

　　170. 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.