代政嘉

代政嘉

太阳成集团tyc151cc 教授

E-mail：daizhengj@mail.sysu.edu.cn

研究方向：人脑连接组学、心理健康、精神疾病（抑郁症、焦虑症、精神分裂症、阿尔茨海默病等）、神经影像计算、人工智能

代政嘉 基础心理学博士，百人计划引进，教授，博士生导师

研究领域

人脑连接组学、心理健康、精神疾病（抑郁症、焦虑症、精神分裂症、阿尔茨海默病等）、神经影像计算、人工智能

主要研究方向为：1）使用多模态神经影像技术（结构磁共振影像、功能磁共振影像）探究活体人脑网络的连接模式，包括结构网络的形成机制、功能网络的描述以及结构和功能网络的关联；2）人脑网络个体差异的研究，探索其原因以及是否可以作为指纹图，识别个体情绪相关的指标；3）采用多模态影像技术研究精神疾病患者客观的生物标记物，并为疾病的治疗提供神经基础。

教育背景

• 2005年-2009年：北京理工大学大学理学院学院 数学专业 理学学士

• 2009年-2015年：北京师范大学认知神经科学与学习国家重点实验室 认知神经科学专业 理学博士

职业经历

• 2015年6月-2017年1月：太阳集团官网大学太阳成集团tyc151cc 讲师

• 2017年1月-2022年4月：太阳集团官网大学太阳成集团tyc151cc 副教授

• 2022年4月-至今：太阳集团官网大学太阳成集团tyc151cc 教授

科研项目

• 国家自然科学基金面上项目，人脑网络的成本-效率权衡模型及其在精神疾病跨诊断中的应用，2024-2027，主持

• 广东省自然科学基金面上项目，人脑网络通讯策略及其在阿尔茨海默病中的应用，2022-2024，主持

• 北京师范大学认知神经科学与学习国家重点实验室开放课题，基于多模态人脑连接组的认知老化神经机制研究，2021.01-2022.12，主持

• 广东省自然科学基金面上项目，幸福感个体差异的脑连接组学研究，2019.10-2022.09，主持

• 太阳集团官网青年教师重点培育项目，幸福感的神经机制及其与情绪调节的关联研究，2019.01-2020.12，主持

• 国家自然科学基金青年项目，基于多模态磁共振影像的阿尔茨海默病疾病进程脑连接组学研究，2017.01-2019.12，主持

• 广东省自然科学基金-博士启动项目，基于静息态功能磁共振成像的人脑功能网路动态特性及其应用研究，2016.06-2019.06，主持

• 太阳集团官网百人计划二期——紧缺优秀青年人才，2015.06-2018.06，主持

• 科技创新2030-“脑科学与类脑研究”重大项目，基于人脑连接组与基因组的阿尔茨海默病病理机制及早期预测研究，2022.08-2027.7，核心骨干

科研论著   (*为通讯作者，#为共同第一作者)

 近年来在本领域国际期刊发表SCI/SSCI论文48篇（ESI Top 1%高被引论文3篇），其中以第一作者和通讯作者在Schizophrenia Bulletin、Radiology、NeuroImage、Cerebral Cortex、Social cognitive and affective neuroscience等领域著名期刊发表研究论文30篇（ESI Top 1%高被引论文1篇）。论文被Nature Reviews系列期刊(包括Nature Reviews Neuroscience和Nature Reviews Neurology)、Trends in Cognitive Sciences、The American Journal of Psychiatry, PNAS、BRAIN等国际顶尖期刊多次正面引用，论文累计影响因子约为200，SCI引用1900余次。

  1.  Li, L. #, Li, L M W.#, Ma, J., Lu, A., & Dai, Z*. (2023). The Relationship Between Personality Traits and Well-Being via Brain Functional Connectivity. Journal of Happiness Studies, 24, 2127–2152.
  2. Chen, X., Dai, Z.*, & Lin, Y. *(2023). Biotypes of major depressive disorder identified by a multiview clustering framework. Journal of affective disorders, 329, 257–272.
  3. Ma, J., Chen, X., Gu, Y., Li, L., Cam-CAN, Lin, Y., Dai, Z.*, 2023. Trade-offs among cost, integration, and segregation in the human connectome. Network Neuroscience, 7, 604–631.
  4. Wang, Y. #, Wu, R. #, Li, L. #, Ma, J., Yang, W., Dai, Z. *, 2022. Common and Distinct Neural Substrates of the Compassionate and Uncompassionate Self-Responding Dimensions of Self-Compassion. Brain Imaging and Behavior, 16(6), 2667-2680.
  5. Gu, Y., Li, L., Zhang, Y., Ma, J., Yang, C., Xiao, Y., Shu, N., Can C, Lin, Y. *, Dai, Z. *, 2022. The overlapping modular organization of human brain functional networks across the adult lifespan. Neuroimage, 253, 119125. 
  6. Fan, L. #, Yu, M. #, Zhu, Y., Tang, X., Wang, X., Zhang, X., Ma, J., Zhang, J., Zhang, X.*, Dai, Z. *, 2022. Aberrant Large-scale Brain Modules in Deficit and Non-deficit Schizophrenia. Progress in Neuropsychopharmacology & Biological Psychiatry, 113, 110461.
  7. Sun, Y. #, Ma, J. #, Huang, M., Yi, Y., Wang, Y., Gu, Y., Lin, Y., Li, M., Dai, Z. *, 2022. Functional connectivity Dynamics as a Function of the Fluctuation of Tension during Film Watching. Brain Imaging and Behavior, 16(3), 1260–1274.
  8. Li, L., Wei, Y., Zhang, J., Ma, J., Yi, Y., Gu, Y., Li, L., Lin, Y., Dai, Z. *, 2021. Gene Expression Associated with Individual Variability in Intrinsic Functional Connectivity. NeuroImage, 245, 118743.
  9. Lin, Y., Ma, J., Huang, B., Zhang, J., Zhang, Y., Dai, Z.*, 2021. Predicting Human Intrinsic Functional Connectivity from Structural Connectivity: An Artificial Neural Network Approach. IEEE Transactions on Network Science and Engineering, 8, 2625-2638.
  10. Ma, J., Zhang, J., Lin, Y. *, Dai, Z.*, 2021. Cost-efficiency trade-offs of the human brain network revealed by a multiobjective evolutionary algorithm. NeuroImage, 236, 118040.
  11. Guo, X. #, Yang, F. #, Fan, L. #, Gu, Y., Ma, J., Zhang, J., Liao, M.*, Zhai, T., Zhang, Y., Li, L., Su, L., Dai, Z.*, 2021. Disruption of Functional and Structural Networks in First-Episode, Drug-naïve Adolescents with Generalized Anxiety Disorder. Journal of Affective Disorders, 284, 229-237.
  12. Xiao, Y. #, Lin, Y. #, Ma, J., Qian, J., Ke, Z., Li, L., Yi, Y., Zhang, J., Cam-CAN, Dai, Z. *, 2021. Predicting Visual Working Memory with Multimodal MRI, Hum Brain Mapp 42, 1446-1462.
  13. Ma, J., Lin, Y., Hu, C., Zhang, J., Yi, Y., Dai, Z. *, 2021. Integrated and Segregated Frequency Architecture of Human Brain Network, Brain structure and function 226, 335-350.
  14. Yang, F. #, Zhang, J. #, Fan, L. #, Liao, M., Wang, Y., Chen, Chang., Zhai, T., Zhang, Y., Li, L., Su, L., Dai, Z. *, 2020. White Matter Structural Network Disturbances in First-Episode, Drug-naïve Adolescents with Generalized Anxiety Disorder, Journal of Psychiatric Research 130, 394-404.
  15. Gu, Y. #, Lin, Y. #, Huang, L., Ma, J., Zhang, J., Xiao, Y., Dai, Z.*, Alzheimer's Disease Neuroimaging Initiative, 2020. Abnormal Dynamic Functional Connectivity in Alzheimer’s Disease. CNS Neuroscience & Therapeutics 26, 962-971.
  16. Yang, F. #, Fan, L. #, Zhai, T., Lin, Y., Wang, Y., Ma, J., Liao, M., Zhang, Y., Li, L., Su, L. *, Dai, Z. *, 2019. Decreased Intrinsic Functional Connectivity in Default Mode and Fronto-Parietal Networks in First-Episode, Drug-Naive Adolescents with Generalized Anxiety Disorder. Frontiers in Human Neuroscience 12, 539.
  17. Dai, Z. #, Lin, Q. #, Li, T., Wang, X., Yuan, H., Yu, X., He, Y., Wang, H., 2019. Disrupted structural and fucntional brain networks in Alzheimer's disease. Neurobiology of aging 75, 71-82.
  18. Lin, Y., Ma, J., Gu, Y., Yang, S., Li, LMW., Dai, Z. *, 2018. Intrinsic Overlapping Modular Organization of Human Brain Functional Networks Intrinsic Revealed by A Multiobjective Evolutionary Algorithm. Neuroimage 181, 430-445.
  19. Yi, Y. #, Li, L M W. #, Xiao, Y., Ma, J., Fan, L., Dai, Z. *, 2018. Brain Activity Mediates the Relation between Emotional But Not Instrumental Support and Trait Loneliness. Social cognitive and affective neuroscience 13, 995-1002.
  20. Li, L M W. #, Luo, S. #, Ma, J. #, Lin, Y., Fan, L., Zhong, S., Yang, J., Huang, Y., Gu, Y., Fan, L., Dai, Z. *, Wu,X., 2018. Functional connectivity pattern underlies individual differences in independent self-construal. Social cognitive and affective neuroscience 13, 269-280.
  21. Yu, M. #, Dai, Z. #, Tang, X. #, Wang, X., Zhang, X., Sha, W., Yao, S., Shu, N., Wang, X., Yang, J., Zhang, X., Zhang, X. *, He, Y., Zhang, Z., 2017. Convergence and divergence of brain network dysfunction in deficit and non-deficit schizophrenia. Schizophr Bull 43, 1315-1328.
  22. Wang, Z. #, Dai, Z. #, Shu, H., Liao, X., Yue, C., Liu, D., Guo, Q., He, Y. *, Zhang, Z. *, 2017 APOE Genotype Effects on Intrinsic Brain Network Connectivity in Patients with Amnestic Mild Cognitive Impairment. Sci.Rep 7, 397.
  23. Wang, Z. #, Dai, Z. #, Shu, H., Liu, D., Guo, Q., He, Y., Zhang, Z. *, 2017 Cortical Thickness and Microstructural White Matter Changes Detect Amnestic Mild Cognitive Impairment. J Alzheimers Dis 56(1), 415-428.
  24. Sun, Y. #, Dai, Z. #, Li, Y., Sheng, C., Li, H., Wang, X., Chen, X., He, Y. *, Han, Y. *, 2016. Subjective cognitive decline: mapping functional and structural brain changes—a combined resting-state functional and structural MR imaging study. Radiology 281, 185-92.
  25. Dai Z., Yan C., Li K., Wang Z., Wang J., Cao M., Lin Q., Shu N., Xia M., Bi Y., He Y. *, 2015. Identifying and mapping connectivity patterns of brain network hubs in Alzheimer’s disease. Cereb Cortex, 25(10), 3723-3742.
  26. Dai, Z., Bi, Y., He, Y. *, 2015. With great brain hub connectivity comes great vulnerability. CNS Neuroscience & Therapeutics 21(7), 541-542. (Commentary)
  27. Liu, Y. #, Dai, Z. #, Duan, Y., Huang, J., Ren, Z., Liu, Z., Dong, H., Shu, N., Vrenken, H., Wattjes, M., Barkhof, F., He, Y. *, Li, K. *, 2015. Whole brain functional connectivity in clinically isolated syndrome without conventional brain MRI lesions. Eur Radiol 26(9), 2982-91.
  28. Liu, C.#, Dai, Z.#, Zhang, R., Zhang, M., Hou, Y., Qi, Z., Huang, Z., Lin, Y., Zhan, S., He, Y. *, Wang, Y. *, 2015. Mapping intrinsic functional brain changes and repetitive transcranial magnetic stimulation neuromodulation in idiopathic restless legs syndrome: a resting-state functional magnetic resonance imaging study. Sleep Med 16(6), 785-791.
  29. Dai, Z., He, Y. *, 2014. Disrupted structural and functional brain connectomes in mild cognitive impairment and Alzheimer’s disease. Neurosci Bull 30(2), 217-232.
  30. Dai, Z.#, Yan, C. #, Wang, Z., Wang, J., Xia, M., Li, K., He, Y. *, 2012. Discriminative analysis of early Alzheimer's disease using multi-modal imaging and multi-level characterization with multi-classifier (M3). Neuroimage 59(3), 2187-2195. ​

教授课程

•本科生: 《脑科学初探》，《神经影像技术与心理健康》，《Matlab程序设计基础》，《每周心理学研究论坛》

•硕士生: 《磁共振成像数据分析专题》

•博士生: 《磁共振成像数据分析专题》