个人简介

李厅，心理学博士，四川师范大学脑与心理科学研究院助理研究员，二级心理咨询师，硕士生导师，联系方式: ting_li@sicnu.edu.cn

研究兴趣

结合行为学、脑电(EEG)、功能磁共振成像(fMRI)等技术，采用基于图论的复杂脑网络分析等前沿数据处理方法来研究人类的社会行为及其神经机制

教育经历

2009年9月— 2013年6月 重庆师范大学 应用心理学 学士

2013年9月— 2016年6月 四川师范大学 发展与教育心理学 硕士

2019年9月— 2022年6月 华南师范大学 心理学 博士

课题项目

基于多模态磁共振成像的人脑连接组方法学和临床应用（81922036），国家自然科学基金优秀青年科学基金项目，2020-2022，参研

研究成果

第一作者（#共同一作）

1.      Li, T., Li, S., Li, B., Zhang, Z., Luo, Y.*, Feng, C.* (2023). Navigating uncertainty in human social decision-making: consequences and coping strategies. Social and Personality Psychology Compass, accepted (IF: 3.798; SSCI Q2)

2.      Li, T.#, Pei, Z.#, Zhu, Z., Wu, X.^*, Feng, C.*(2022). Intrinsic brain activity patterns across large-scale networks predict reciprocity propensity. Human Brain Mapping, 43(18):5616-5629 (IF: 5.399; SCIE Q2)

3.      Li, T., Yang, Y., Krueger F., Feng, C.^*, Wang, J.*(2022). Static and dynamic topological organizations of the costly punishment network predict individual differences in punishment propensity. Cerebral Cortex, 32(18): 4012-4024 (IF: 4.861; SCIE Q2)

4.      Li, T.#, Wang, L.#, Camilleri, J. A., Chen, X., Li, S., Stewart, J. L., ... & Feng, C.* (2020). Mapping common grey matter volume deviation across child and adolescent psychiatric disorders. Neuroscience & Biobehavioral Review, 115: 273-284 (IF: 9.052; SCIE Q1)

5.      Lu X.#, Li T.#, Xia Z., Zhu R., Wang L., Luo Y.*, Feng C.*, Frank Krueger (2019). Connectome-based model predicts individual differences in propensity to trust. Human Brain Mapping, 40(6): 1942-1954 (IF: 5.399; SCIE Q2)

其他作者

1.      Feng C. *, Gu R. *, Li T., ... & Simon B. (2021). Separate neural networks of implicit emotional processing between pictures and words: A coordinate-based meta-analysis of brain imaging studies. Neuroscience & Biobehavioral Review, 131: 331-344 (IF: 9.052; SCIE Q1)

2.      Feng C. *, Eickhoff S.B., Li T., ... & Luo Y. * (2021). Common brain networks underlying human social interactions: Evidence from large-scale neuroimaging meta-analysis. Neuroscience & Biobehavioral Review, 126: 289-303 (IF: 9.052; SCIE Q1)

3.      Chen X. #, Xu Z. #, Li T., ... & Liu C. * (2021). Multivariate morphological brain signatures enable individualized prediction of dispositional need for closure. Brain imaging and behavior, 1-16 (IF: 3.224; SCIE Q2)

4.      Chen X. #, Xu Y. #, Li B., Wu X., Li T., ... & Feng C. * (2021). Intranasal vasopressin modulates resting state brain activity across multiple neural systems: Evidence from a brain imaging machine learning study. Neuropharmacology, 190:108561 (IF: 5.273; SCIE Q2)

5.      Zhu R., Liu C., Li T., ... & Wang L. * (2019).  Intranasal oxytocin reduces reactive aggression in men but not in women: A computational approach. Psychoneuroendocrinology, 108:172-181(IF: 4.693; SCIE Q2)

6.      Feng, C.#, Wang, L.#, Li, T., & Xu, P*. (2019). Connectome-based individualized prediction of loneliness. Social cognitive and affective neuroscience, 14(4): 353-365 (IF: 4.235; SSCI Q1/SCIE Q2)