个人简介：医学博士、北京师范大学认知神经科学与国家重点实验室教授。现任现任山东第一医科大学（山东省医学科学院）党委委员、副校长（副院长）、北京师范大学认知神经科学与学习国家重点实验室副主任、北京师范大学老年脑健康研究中心主任。 主要从事人类高级认知功能的衰退规律及其脑机制研究，多年来专注于老年脑健康领域。次受聘担任国家自然科学基金委员会杰青、重点、面上、国际合作与交流等项目，同时兼任科技部重大研发计划中医药现代化专家组咨询专家。在国际顶刊Alzheimer’s and Dementia（IF=16)，Lancet Public Health(IF=29.9)，Diabetes care(IF=14.1)，Journal of Neuroscience(IF=5.3)等期刊发表论文130余篇，担任国家科技部重点研发计划（基于大型前瞻性队列的临床前阿尔兹海默病综合预防与治疗的中美合作研究）首席科学家，主持了包括国家自然科学基金委重点、重大国际合作、科技部国家重大新药创制、北京脑科学计划等重大重点项目10余项。兼任中国老年学和老年医学学会脑认知与健康分会主任委员、中国药理学会抗衰老分会副会长、中国标准化学会中医药分会副会长等学术职务。

主要研究领域：1、针对人类高级认知功能的衰退规律及其脑机制的研究；2、脑健康体检（痴呆风险筛查）技术平台建设，老年痴呆早诊早防；3、脑衰老相关的中医药临床基础研究。

招生招聘：招聘神经科学、临床医学、基础医学、中医药学、公共卫生等相关背景的骨干人才、博士后、研究生和科研助理，待遇从优。

近五年代表性论文：

1. Binbin Zhao, Dongfeng Wei, Qinghua Long, Qingjie Chen, Fushun Wang, Linlin Chen, Zefei Li, Tong Li, Tao Ma, Wei Liu, Linshuang Wang, Caishui Yang, Xiaxia Zhang, Ping Wang, Zhanjun Zhang. Altered synaptic currents, mitophagy, mitochondrial dynamics in Alzheimer's disease models and therapeutic potential of Dengzhan Shengmai Capsules intervention. Journal of Pharmaceutical Analysis, 2024, 14(3):348-370.

2. Yiru Yang, Yaojing Chen, Feng Sang, Shaokun Zhao, Jun Wang, Xin Li, Chuansheng Chen, Kewei Chen, Zhanjun Zhang. Successful or pathological cognitive aging? Converging into a "frontal preservation, temporal impairment (FPTI)" hypothesis. Science Bulletin, 2022, 67(22):2285-2290.

3. Caishui Yang, Xin Li, Junying Zhang, Yaojing Chen, He Li, Dongfeng Wei, Peng Lu, Ying Liang, Zhen Liu, Ni Shu, Fang Wang, Qing Guan, Wuhai Tao, Qingshan Wang, Jianjun Jia, Lin Ai, Ruixue Cui, Yanping Wang, Dantao Peng, Wei Zhang, Kewei Chen, Xiaomin Wang, Jizong Zhao, Yongyan Wang, Qi Dong, Jun Wang, Zhanjun Zhang. Beijing Aging Brain Rejuvenation Initiative workgroup; Early prevention of cognitive impairment in the community population: The Beijing Aging Brain Rejuvenation Initiative. Alzheimer's and Dementia, 2021(1).

4. Yiru Yang; Chenlong Lv; He Li; Kewei Chen; Xin Li; Yaojing Chen; Junying Zhang; Dongfeng Wei; Peng Lu; Jun Wang; Zhanjun Zhang. Community-based Model for Dementia Risk Screening: The Beijing Aging Brain Rejuvenation Initiative (BABRI) Brain Health System. Journal of the American Medical Directors Association, 2021, S1525-8610(20): 1-7.

5. Chen Yaojing, Dang Mingxi, Zhang Zhanjun. Brain mechanisms underlying neuropsyhiatric symptoms in Alzheimer's disease: a systematic review of symptom-general and –specific lesion patterns[J]. Molecular Neurodegeneration, 2021, 16(1).

6. Sang Feng, Chen Yaojing, Chen Kewei, Dang Mingxi, Gao Shudan, Zhang Zhanjun. Sex Differences in Cortical Morphometry and White Matter Microstructure During Brain Aging and Their Relationships to Cognition. Cerebral Cortex, 2021 Jun.

7. Qiuhui Bi; Wenxiao Wang; Na Niu; He Li; Yezhou Wang; Weijie Huang; Kewei Chen; Kai Xu; Junying Zhang; Yaojing Chen; Dongfeng Wei; Ruixue Cui; Ni Shu; Zhanjun Zhang. Relationship between the disrupted topological efficiency of the structural brain connectome and glucose hypometabolism in normal aging. Neuroimage, 2021, 226(117591): 1-9.

8. Weiyi Zeng; Yaojing Chen; Zhibao Zhu; Shudan Gao; Jianan Xia; Xiaochun Chen; Jianjun Jia; Zhanjun Zhang. Severity of white matter hyperintensities: Lesion patterns, cognition, and microstructural changes. Journal of Cerebral Blood Flow & Metabolism, 2020, 40(12): 2454-2463.

9. Xin Li; Jianan Xia; Chao Ma; Kewei Chen; Kai Xu; Junying Zhang; Yaojing Chen; He Li; Dongfeng Wei; Zhanjun Zhang. Accelerating Structural Degeneration in Temporal Regions and Their Effects on Cognition in Aging of MCI Patients. Cerebral Cortex, 2020, 30(1): 326-338.

10. Xin Li; Yezhou Wang; Wenxiao Wang; Weijie Huang; Kewei Chen; Kai Xu; Junying Zhang; Yaojing Chen; He Li; Dongfeng Wei; Ni Shu; Zhanjun Zhang. Age-Related Decline in the Topological Efficiency of the Brain Structural Connectome and Cognitive Aging. Cerebral Cortex, 2020, 30(8): 4651-4661.

11. Shudan Gao; Yaojing Chen; Feng Sang; Yiru Yang; Jianan Xia; Xin Li; Junying Zhang; Kewei Chen; Zhanjun Zhang. White Matter Microstructural Change Contributes to Worse Cognitive Function in Patients With Type 2 Diabetes. Diabetes, 2019, 68(11): 2085-2094.