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李厅
[脑与心理科学研究院]  [手机版本]  [扫描分享]  发布时间:2022年8月17日
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联系方式:ting_li@m.scnu.edu.cn; muding0503268@foxmail.com

 

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

1 20199— 20226月:博士

研究方向:社会认知神经科学/复杂脑网络

心理学,脑科学与康复医学研究院,华南师范大学(导师:王金辉研究员)

2 20139— 20166月:硕士

研究方向:发展心理学/社会心理学

发展与教育心理学,心理学院,四川师范大学(导师: 梁斌教授)

3 20099— 20136月:学士

应用心理学,教育科学学院,重庆师范大学

 

课题项目

1 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

2 情绪与社会技能发展的脑网络基础及分化机制,脑科学与类脑研究重大项目中国学龄儿童脑智发育队列研究,参研

 

研究成果

第一作者(#共同一作)

1)            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, Accepted (SCI; IF: 5.399; JCR一区/中科院二区)

2)            Li, T., Yang, Y., Krueger F., Feng, C.*, Wang, J.*(2021). Static and dynamic topological organizations of the costly punishment network predict individual differences in punishment propensity. Cerebral Cortex, in press (SCI; IF: 4.861; JCR一区/中科院一区)

3)            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; IF: 9.052; JCR一区/中科院一区)

4)            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 (SCI; IF: 5.399; JCR一区/中科院二区)

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 (SCI; IF: 9.052; JCR一区/中科院一区)

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 (SCI; IF: 9.052; JCR一区/中科院一区)

3) Chen X. #, Xu Z. #, Li T., ... & Feng C. * (2021). Multivariate morphological brain signatures enable individualized prediction of dispositional need for closure. Brain imaging and behavior, 1-16 (SCI; IF: 3.224; JCR一区/中科院二区)

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 (SCI; IF: 5.273; JCR一区/中科院二区)

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(SCI; IF: 4.693; JCR一区/中科院二区)

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 (SCI/SSCI; IF: 4.235; JCR一区/中科院二区)



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