研究队伍
李锐 健康与遗传心理学研究室副研究员
电  话:
电子邮件:lir@psych.ac.cn
传  真:
课题组网站:
邮政编码:100101
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
简历

副研究员,博士生导师。2005年于聊城大学获工学学士学位,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。担任中国心理学会老年心理学专委会委员、中国老年学和老年医学学会老年心理分会委员。荣获第2届中国神经科学学会GSK“明日之星奖(2011),以共同完成人荣获第10届吴文俊人工智能自然科学奖一等奖(2020)和教育部高等学校科学研究优秀成果奖(科学技术)二等奖(2020)。

研究领域

主要研究1)人脑运作机理:利用功能磁共振成像等神经影像技术研究人脑网络的形成机制、组织机制和信息处理机制,进而理解其与人类认知过程和心理过程的功能联系;2)脑发展与健康:研究脑结构和功能在毕生发展(老化及相关疾病)中的变化特点及影响因素,研究利用基于生活方式和优秀传统文化的干预方法促进个体心身健康发展,并揭示其心理机制和脑机制。

社会任职
获奖及荣誉
代表论著

1.Li R.*, Zhang J., Wu X., Wen X., Han B., 2020. Brain-wide resting-state connectivity regulation by the hippocampus and medial prefrontal cortex is associated with fluid intelligence. Brain Structure and Function 225, 1587-1600

2.Li R., Zhu X., Zheng Z., Wang P., Li J. 2020. Subjective well-being is associated with the functional connectivity network of the dorsal anterior insula. Neuropsychologia 141:107393

3.Li R., Wan W., Li J., 2019. KIBRA polymorphism modulates gray matter volume to influence cognitive ability in the elderly. Brain Imaging and Behavior 14, 1388–1394

4.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 39:4302–4311

5.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

6.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

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's 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's 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(61673374);国家自然科学基金青年科学基金项目(31200847);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。

软件下载