学习经历（Education）：

2005年自北京中医药大学取得医学博士学位，导师：中国工程院院士王永炎教授。

2005｜Doctor of Medicine, Beijing University of Chinese Medicine

Supervisor: Professor Yongyan Wang, Member of the Chinese Academy of Engineering

工作经历（Professional Experience）：

2020/12-至今，北京师范大学认知神经科学与学习国家重点实验室，二级教授
2013/07-2020/12，北京师范大学认知神经科学与学习国家重点实验室，教授
2013/10-至今，北京师范大学老年脑健康研究中心，创始主任
2017/03-2025/07，北京师范大学认知神经科学与学习国家重点实验室，常务副主任
2010/12-2016/12，北京师范大学脑与认知科学研究院，副院长
2007/09-2013/07，北京师范大学认知神经科学与学习国家重点实验室，副教授

2020.12–Present｜Second-tier Professor, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University

2025.11–Present｜Founding Director, Beijing Key Laboratory of Cognitive Intelligence for Elderly Brain Health

2017.03–2025.07｜Executive Deputy Director, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University

2013.12– Present｜Founding Director, Center for Aging Brain Health, Beijing Normal University

2013.07–2020.12｜Professor, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University

2010.12–2016.12｜Vice Dean, Institute of Brain and Cognitive Science, Beijing Normal University

2007.09–2013.07｜Associate Professor, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University

结合认知神经科学、医学、人工智能、脑影像科学、心理学的交叉学科视角与研究方法，深入探索AI驱动的认知衰退与心理健康研究（AI-Driven Cognitive Decline & Mental Health Research），并在此基础上建设脑影像与认知老化智能平台（Brain Imaging & Cognitive Aging AI Platform）。欢迎来自认知神经科学、人工智能、心理学、医学等领域对交叉学科研究和应用感兴趣的各个年级的同学以及博后加入课题组。

      自2008年起，带领团队发起了BABRI北京老年脑健康促进计划(Beijing Aging Brain Rejuvenation Initiative )。历经近20年潜心研究，针对认知障碍早期筛查瓶颈问题，建立了脑健康体检技术平台，在全国多个医院、社区推广使用，大大提高了认知障碍风险的知晓率。牵头组织中华医学会、中国医师学会、中国老年学会等领域专家制定了中国第一个《中国数字化记忆门诊临床应用专家共识(2021)》，《适用于记忆门诊和痴呆风险筛查的电子化测评工具与应用方案专家共识(2019)》，为未来数字药物、以及数字化诊疗的规范实施建立了标地。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、重点国际合作、杰出青年基金、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。多次受聘担任国家各类重大、重点项目会评专家，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。

My research integrates cognitive neuroscience, clinical medicine, artificial intelligence, brain imaging, and psychology to investigate the neural mechanisms underlying cognitive aging and mental health. The lab focuses on AI-driven cognitive decline research and develops intelligent brain imaging and cognitive aging platforms to promote translational research in brain health.

发表文章（Publications）

1. Y. Li, G. Long, X. Zhang, K. Chen, X. Li, and Z. Zhang, “ Shannon Entropy of Gray Matter Eigenmodes: A Novel Biomarker for Alzheimer's Disease and Heterogeneous MCI Trajectories.” Adv. Sci. 13, no. 1 (2026): e11614. https://doi.org/10.1002/advs.202511614

2. Li, Y., Zhang, X., Li, X, and Z. Zhang, Brain maintenance biomarkers from structural and functional interactions in aging and neurodegeneration. Nat Commun 17, 6908 (2026). https://doi.org/10.1038/s41467-026-73071-7

3. Peng, B., Du, L., Dang, M., Li, T., Li, Z., Liu, J., Chen, Y., Liu, B., Zhang, Z. (2026). Decoupling MCI-specific signatures from shared neurobiological substrates of cognitive aging via deep learning. npj Digit. Med. 9, 490. https://doi.org/10.1038/s41746-026-02597-3

4.Dai, X., Liu, S., Li, Y., Long, S., Li, X., Chen, C., Yang, C., Zhang, J., Zhuo Rachel Han, Li, H.*, Wang, J.*, Zhang, Z. (2024). White Matter Plasticity Underpins Cognitive Gains After Multidomain Adaptive Computerized Cognitive Training. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 79(4), glae046.

5.Dang, M., Chen, Y., Ji, J. S., Zhang, Y., Chen, C., & Zhang, Z. (2024). The association between household and family composition and mental health of the elderly: mediating role of lifestyle. BMC Public Health, 24(1), 2055–15.

6.Chen, Y., Li, Z., Chen, Y., Dang, M., Chen, K., Sang, F., Fang, H., & Zhang, Z. (2024). Cerebellar gray matter and white matter damage among older adults with prediabetes. Diabetes Research and Clinical Practice, 213, 111731.

7.Du, C., Li, X., Li, J., Wang, W., Dang, M., Cheng, J., Xu, K., Wang, J., Chen, C., Chen, Y., & Zhang, Z. (2024). Leisure activities as reserve mediators of the relationship between loneliness and cognition in aging. Translational Psychiatry, 14(1), 217–217.

8.Du, C., Dang, M., Chen, K., Chen, Y., & Zhang, Z. (2023). Divergent brain regional atrophy and associated fiber disruption in amnestic and non-amnestic MCI. Alzheimer’s Research & Therapy, 15(1), 199–199.

9.Yang, Y., Chen, Y., Sang, F., Zhao, S., Wang, J., Li, X., Chen, C., Chen, K., & Zhang, Z. (2022). Successful or pathological cognitive aging? Converging into a “frontal preservation, temporal impairment (FPTI)” hypothesis. Science Bulletin, 67(22), 2285–2290.

10.Yang, C., Li, X., Zhang, J., Chen, Y., Li, H., Wei, D., ... Zhang, Z. & Beijing Aging Brain Rejuvenation Initiative workgroup. (2021). Early prevention of cognitive impairment in the community population: The Beijing Aging Brain Rejuvenation Initiative. Alzheimer's & Dementia, 17(10), 1610-1618.