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

结合行为学和功能磁共振成像(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（如规范决策、亲社会行为）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

科研项目

不确定性对第三方惩罚的影响及其脑网络机制（32300870），国家自然科学基金青年项目，2024-2026，主持

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

主要作者（#共同一作，*通讯作者）

1.   Li, T., Feng, C.* & Wang, J.* (2023). Reconfiguration of the costly punishment network architectures in punishment decision-making. Psychophysiology, 61(2): e14458 (SCI/SSCI; IF₂₀₂₃: 3.7; JCR一区/中科院二区)

2.   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, 17(6): e12756 (SSCI; IF₂₀₂₃: 4.6; JCR一区/中科院二区)

3.   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 (SCI; IF₂₀₂₃: 4.8; JCR一区/中科院二区top)

4.   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 (SCI; IF₂₀₂₃: 3.7; JCR二区/中科院二区)

5.   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 (SCI; IF₂₀₂₃: 8.2; JCR一区/中科院一区top)

6.   Lu, X.#, Li, T.#, Xia, Z., Zhu, R., Wang, L., Luo, Y.*, Feng, C.*, & Krueger, F. (2019). Connectome-based model predicts individual differences in propensity to trust. Human Brain Mapping, 40(6): 1942-1954 (SCI; IF₂₀₂₃: 4.8; JCR一区/中科院二区top)

其他作者

1.   Feng, C., #*, Liu, Q.#, Huang, C.#, Li, T., … & Qu, C.* (2024). Common neural dysfunction of economic decision-making across psychiatric conditions. Neuroimage, Accepted (SCI; IF₂₀₂₃: 5.7; JCR一区/中科院二区top).

2.   He, H., Chen, Y., Li, T, … & Zhang, X.* (2023). The role of focus back effort in the relationships among motivation, interest, and mind wandering: an individual difference perspective. Cognitive Research: Principles and Implications, 8: 43 (SSCI; IF₂₀₂₃: 4.1; JCR一区/中科院二区)

3.   Yang, Y., Li, J., Li, T., ... & Wang, J.* (2023). Cerebellar connectome alterations and associated genetic signatures in multiple sclerosis and neuromyelitis Optica spectrum disorders. Journal of Translational Medicine, 21:352 (SCI; IF₂₀₂₃: 7.4; JCR一区/中科院二区top)

4.   Yin, G., Li, T., ... & Wang, J.* (2023). A comprehensive evaluation of multicentric reliability of single-subject cortical morphological networks on traveling subjects. Cerebral Cortex, 33(14): 9003-9019 (SCI; IF₂₀₂₃: 3.7; JCR二区/中科院二区)

5.   Feng, C.*, Gu, R.*, Li, T., ... & Eickhoff, S.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 (SCI; IF₂₀₂₃: 8.2; JCR一区/中科院一区top)

6.   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 (SCI; IF₂₀₂₃: 8.2; JCR一区/中科院一区top)

7.   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 (SCI; IF₂₀₂₃: 3.2; JCR二区/中科院三区)

8.   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 (SCI; IF₂₀₂₃: 4.7; JCR一区/中科院二区)

9.   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(SCI; IF₂₀₂₃: 3.7; JCR二区/中科院二区)

10.            Feng, C.#, Wang, L.#, Li, T., & Xu, P.* (2019). Connectome-based individualized prediction of loneliness. Social Cognitive and Affective Neuroscience, 14(4): 353-365 (SSCI; IF₂₀₂₃: 4.2; JCR一区/中科院二区)

【编辑：脑与心理科学研究院】