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:

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简历：
副研究员，博士生导师。2005年于山东聊城大学毕业并获工学学士学位，2011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学位，同年进入中科院心理所工作，先后任助理研究员、副研究员。


研究领域：
利用磁共振成像技术，研究人脑网络信息处理机制及其认知关联，并结合毕生发展、脑疾病、中国传统文化与身心健康促进等问题开展相关基础应用研究。


社会任职：

获奖及荣誉：

代表论著：
1.Li R., Wan W., Li J., 2019. KIBRA polymorphism modulates gray matter volume to influence cognitive ability in the elderly. Brain Imaging and Behavior. https://doi.org/10.1007/s11682-019-00047-1
2.Li R., Zhang S., Yin S., Ren W., He R., Li J., 2018. The Fronto-Insular Cortex Causally Mediates the Default-Mode and Central-Executive Networks to Contribute to Individual Cognitive Performance in Healthy Elderly. Human Brain Mapping 39:4302?311
3.Yu H., Li F., Wu T., Li R., Yao L., Wang C., Wu X., 2018. Functional brain abnormalities in major depressive disorder using the Hilbert-Huang transform. Brain Imaging and Behavior, 12: 1556?568
4.Li R., Yin S., Zhu X., Ren W., Yu J., Wang P., Zheng Z., Niu Y.-N., Huang X., Li J., 2017. Linking Inter-Individual Variability in Functional Brain Connectivity to Cognitive Ability in Elderly Individuals. Frontiers in Aging Neuroscience 9:385
5.Wu X., Li Q., Yu X., Chen K., Fleisher A., Guo X., Zhang J., Reiman E., Yao L., Li R.*, 2016. A Triple Network Connectivity Study of Large-Scale Brain Systems in Cognitively Normal APOE4 Carriers. Frontiers in Aging Neuroscience 8, 231
6.Xu L., Wu X., Li R., Chen K., Long Z., Zhang J., Guo X., Yao L., Alzheimer抯 Disease Neuroimaging Initiative, 2016. Prediction of progressive mild cognitive impairment by multi-modal neuroimaging biomarkers. Journal of Alzheimer's Disease 51, 1045?056
7.Yin S., Zhu X., He R., Li R.*, Li J.*, 2015. Spontaneous activity in the precuneus predicts individual differences in verbal fluency in cognitively normal elderly. Neuropsychology 29, 961-970
8.Ren W. #, Li R. #, Zheng Z., Li J., 2015. Neural correlates of associative memory in the elderly: A resting-state functional MRI study. BioMed Research International, 129180
9.Zheng Z., Zhu X., Yin S., Wang B., Niu Y., Huang X., Li R.*, Li J.*, 2015. Combined cognitive-psychological-physical intervention induces reorganization of intrinsic functional brain architecture in older adults. Neural Plasticity 2015, 713104
10.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
11.Zhu X.#, Li R.#, Wang P., Li J., 2014. Aberrant functional connectivity of the hippocampus in older adults with subthreshold depression. Psych Journal 3, 245-253
12.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
13.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
14.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
15.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抯 disease. American Journal of Neuroradiology. 34, 340-345
16.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
17.Li R., Wu X., Fleisher A.S., Reiman E.M., Chen K., Yao L., 2012. Attention-related networks in Alzheimer抯 disease: A resting functional MRI study. Human Brain Mapping 33, 1076-1088
18.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
19.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
20.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?2621W-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：
国家自然科学基金面上项目（**）；国家自然科学基金青年科学基金项目（**）；中国科学院心理健康重点实验室自主项目（KLMH2014ZG03）；北京师范大学认知神经科学国家重点实验室开放课题（CNLYB1213）；中国科学院心理研究所青年科学基金（Y1CX251005）等。


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