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李锐
健康与遗传心理学研究室, 副研究员
电 话:  
传 真:  
通讯地址:  北京市朝阳区林萃路16号院中国科学院心理研究所
邮政编码:  100101
电子邮件:  lir@psych.ac.cn
课题组网站:  http://aging.psych.ac.cn

简历:

2014.3 – 现在,  中国科学院心理研究所,副研究员
2011.7 – 2014.2,中国科学院心理研究所,助理研究员
2008 – 2011,    北京师范大学脑与认知科学研究院,博士研究生
2006 – 2008,    北京师范大学信息科学与技术学院,硕士研究生
2001 – 2005,    山东省聊城大学物理科学与信息工程学院,本科生

研究领域:

1、脑认知复杂性与脑信息处理
2、认知老化和认知障碍的脑机制
3、老年心理疾患的早期识别与干预

社会任职:
获奖及荣誉:
代表论著:

1. Yin S., Zhu X., Li R., Niu Y., Wang B., Zheng Z., Huang X., Huo L., Li J., 2014. Intervention-induced enhancement in intrinsic brain activity in healthy older adults. Scientific Reports, DOI: 10.1038/srep07309 
2. Wu X., Yu X., Yao L., Li R.*, 2014. Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state. Frontiers in Computational Neuroscience 8, 118. 
3. Zhu X.#, Li R.#, Wang P., Li J., 2014. Aberrant functional connectivity of the hippocampus in older adults with subthreshold depression. Psych Journal, DOI: 10.1002/pchj.60
4. Li R., Zhu X., Yin S., Niu Y., Zheng Z., Huang X., Wang B., Li J., 2014. Multimodal intervention in older adults improves resting-state functional connectivity between the medial prefrontal cortex and medial temporal lobe. Frontiers in Aging Neuroscience 6, 39.
5. Li R., Ma Z., Yu J., He Y., Li J., 2014. Altered local activity and functional connectivity of the anterior cingulate cortex in elderly individuals with subthreshold depression. Psychiatry Research: Neuroimaging 222,29-36.
6. Li R., Yu J., Zhang S., Bao F., Wang P., Huang X., Li J., 2013. Bayesian network analysis reveals alterations to default mode network connectivity in individuals at risk for Alzheimer’s disease. PLoS One 8, e82104.
7. Ma Z.*, Li R.*, Yu J., He Y., Li J., 2013. Alterations in regional homogeneity of spontaneous brain activity in late-life subthreshold depression. PLoS One 8, e53148.
8. Li R., Wu X., Chen K., Fleisher A.S., Reiman E.M., Yao L., 2013. Alterations of directional connectivity among resting-state networks in Alzheimer’s disease. American Journal of Neuroradiology. 34, 340-345.
9. Wu X., Yu X., Chen K., Li R., Yao L. 2013. Starting point, duration of acquisition and averaged of time series over subjects: issues related to the reliability and accuracy of the constructed group Bayesian network for resting-state fMRI studies. Neuroscience and Biomedical Engineering 1, 133-140.
10. Wen X., Wu X., Li R., Fleisher A.S., Reiman E.M., Wen X., Chen K., Yao L., 2013. Alzheimer's disease-related changes in regional spontaneous brain activity levels and inter-region interactions in the default mode network. Brain Research, 1509, 58-65.
11. Li J., Li R., Chen K., Yao L., Wu X., 2012. Temporal and instantaneous connectivity of default mode network estimated using Gaussian Bayesian network frameworks. Neuroscience Letters 513, 62-66.
12. Li R., Wu X., Fleisher A.S., Reiman E.M., Chen K., Yao L., 2012. Attention-related networks in Alzheimer’s disease: A resting functional MRI study. Human Brain Mapping 33, 1076-1088.
13. Li J., Li R., Chen K., Yao L., Wu X., 2012. Temporal and instantaneous connectivity of default mode network estimated using Gaussian Bayesian network frameworks. Neuroscience Letters 513, 62-66.
14. Li R., Chen K., Fleisher A.S., Reiman E.M., Yao L., Wu X., 2011. Large-scale directional connections among multi resting-state neural networks in human brain: A functional MRI and Bayesian network modeling study. Neuroimage 56, 1035-1042.
15. Wu X., Li R., Fleisher A.S., Reiman E.M., Guan X., Zhang Y., Chen K., Yao L., 2011. Altered default mode network connectivity in Alzheimer’s disease- A resting functional MRI and Bayesian network study. Human Brain Mapping 32, 1868-1881.
16. Miao X., Wu X., Li R., Chen K., Yao L., 2011. Altered connectivity pattern of hubs in default-mode network with Alzheimer’s disease: an Granger causality modeling approach. PLoS One 6, e25546.
17. Li J., Li R., Yao L., Wu X., 2011. Learn the effective connectivity pattern of attention networks: A resting functional MRI and Bayesian network study. Proceedings of SPIE Medical Imaging 7965, 796506-1–796506-7.
18. Han Y., Li R., Yao L., Wu X., 2011. Functional connectivity comparison of the default mode network in non-depressed Parkinson disease and depressed Parkinson disease. Proceedings of SPIE Medical Imaging 7965, 79650S-1–79650S-9.
19. Zhan Z., Li R., Wang C., Lin C., Yao L., Wu X., 2011. The difference of two brain states: a simultaneous EEG/fMRI study. IEEE/ICME Conference Proceedings: 224-228.
20. Li R., Li J., Miao X., Yao L., Wu X., 2010. Consistent pivotal role of posterior cingulate cortex in the default mode network revealed by partial correlation analysis. Proceedings of SPIE Medical Imaging 7626, 76260C-1–76260C-11.
21. Li R., Chen K., Li J., Fleisher A.S., Reiman E.M., Yao L., Wu X., 2010. Deriving difference between the Bayesian networks based patterns of the effective connectivity using permutation test in fMRI studies. IEEE/ICME Conference Proceedings: 85-90.
22. Miao X., Chen K., Li R., Wen X., Yao L., Wu X., 2010. Application of Granger causality analysis to effective connectivity of the default-mode network. IEEE/ICME Conference Proceedings: 156-160.
23. Li R., Chen K., Zhang N., Fleisher A.S., Yao L., Wu X., 2009. Effective connectivity analysis of default mode network based on the Bayesian network learning approach. Proceedings of SPIE Medical Imaging 7262, 72621W-1–72621W-10.

 

更多成果信息请见:http://ir.psych.ac.cn/lir@psych.ac.cn

承担科研项目情况:

1.中国科学院心理健康重点实验室自主项目(KLMH2014ZG03),老年人脑功能连接个体差异及其认知关联,2014.12-2016.12 
2.国家自然科学基金青年科学基金项目(31200847):脑老化异质性的认知神经机制—基于静息功能磁共振成像的研究,2013.1-2015.12 
3.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金(CNLYB1213):认知老化异质性的脑功能网络表达,2013.1-2014.12 
4.中国科学院心理研究所青年科学基金(Y1CX251005):基于脑网络计算研究阿尔茨海默病的外显和内隐记忆机制及其在早期识别中的应用,2011.11-2013.11