2005 - Bachelor of Engineering: Liaocheng University
2011 - Doctor of Science: Beijing Normal University
Achievement: GSK 'Tomorrow Star' Award by Chinese Neuroscience Society (2011)
Achievement: First Prize of Wu Wenjun Artificial Intelligence Natural Science Award (2020)
Achievement: Second Prize of Ministry of Education's Higher Education Scientific Research Outstanding Achievement Award (Science and Technology) (2020)
2011-present - Chinese Academy of Sciences, Institute of Psychology - Assistant Researcher, Associate Researcher
GSK 'Tomorrow Star' Award (2011): Chinese Neuroscience Society
First Prize of Wu Wenjun Artificial Intelligence Natural Science Award (2020)
Second Prize of Ministry of Education's Higher Education Scientific Research Outstanding Achievement Award (Science and Technology) (2020)
Research
Mechanisms of Human Brain Operation Brain Development and Health
Brain-wide resting-state connectivity regulation by the hippocampus and medial prefrontal cortex is associated with fluid intelligence., Li R.*, Zhang J., Wu X., Wen X., Han B., 2020
Subjective well-being is associated with the functional connectivity network of the dorsal anterior insula., Li R., Zhu X., Zheng Z., Wang P., Li J., 2020
KIBRA polymorphism modulates gray matter volume to influence cognitive ability in the elderly., Li R., Wan W., Li J., 2019
The Fronto-Insular Cortex Causally Mediates the Default-Mode and Central-Executive Networks to Contribute to Individual Cognitive Performance in Healthy Elderly., Li R., Zhang S., Yin S., Ren W., He R., Li J., 2018
Linking Inter-Individual Variability in Functional Brain Connectivity to Cognitive Ability in Elderly Individuals., Li R., Yin S., Zhu X., Ren W., Yu J., Wang P., Zheng Z., Niu Y.-N., Huang X., Li J., 2017
A Triple Network Connectivity Study of Large-Scale Brain Systems in Cognitively Normal APOE4 Carriers., Wu X., Li Q., Yu X., Chen K., Fleisher A., Guo X., Zhang J., Reiman E., Yao L., Li R.*, 2016
Spontaneous activity in the precuneus predicts individual differences in verbal fluency in cognitively normal elderly., Yin S., Zhu X., He R., Li R.*, Li J.*, 2015
Neural correlates of associative memory in the elderly: A resting-state functional MRI study., Ren W. #, Li R. #, Zheng Z., Li J., 2015
Combined cognitive-psychological-physical intervention induces reorganization of intrinsic functional brain architecture in older adults., Zheng Z., Zhu X., Yin S., Wang B., Niu Y., Huang X., Li R.*, Li J.*, 2015
Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state., Wu X., Yu X., Yao L., Li R.*, 2014
Aberrant functional connectivity of the hippocampus in older adults with subthreshold depression., Zhu X.#, Li R.#, Wang P., Li J., 2014
Multimodal intervention in older adults improves resting-state functional connectivity between the medial prefrontal cortex and medial temporal lobe., Li R., Zhu X., Yin S., Niu Y., Zheng Z., Huang X., Wang B., Li J., 2014
Altered local activity and functional connectivity of the anterior cingulate cortex in elderly individuals with subthreshold depression., Li R., Ma Z., Yu J., He Y., Li J., 2014
Bayesian network analysis reveals alterations to default mode network connectivity in individuals at risk for Alzheimer's disease., Li R., Yu J., Zhang S., Bao F., Wang P., Huang X., Li J., 2013
Alterations of directional connectivity among resting-state networks in Alzheimer's disease., Li R., Wu X., Chen K., Fleisher A.S., Reiman E.M., Yao L., 2013
Temporal and instantaneous connectivity of default mode network estimated using Gaussian Bayesian network frameworks., Li J., Li R., Chen K., Yao L., Wu X., 2012
Attention-related networks in Alzheimer's disease: A resting functional MRI study., Li R., Wu X., Fleisher A.S., Reiman E.M., Chen K., Yao L., 2012
Large-scale directional connections among multi resting-state neural networks in human brain: A functional MRI and Bayesian network modeling study., Li R., Chen K., Fleisher A.S., Reiman E.M., Yao L., Wu X., 2011
Altered default mode network connectivity in Alzheimer's disease- A resting functional MRI and Bayesian network study., Wu X., Li R., Fleisher A.S., Reiman E.M., Guan X., Zhang Y., Chen K., Yao L., 2011
Effective connectivity analysis of default mode network based on the Bayesian network learning approach., Li R., Chen K., Zhang N., Fleisher A.S., Yao L., Wu X., 2009
Keywords
NeuroimagingBrain NetworksCognitive ProcessesPsychological ProcessesFunctional ConnectivityAgingBrain StructureBrain FunctionIntervention MethodsMental Health
Area of Focus
Development | Mental Health | Assessment | Promotion | Example-Based Learning | Executive Function | Working Memory | Cognitive Neuroscience | Aging | Psychology