一．基本信息

姓名：李建秀

性别：女

出生年月：1992.02

民族：汉族

政治面貌：中共党员

籍贯：内蒙古乌兰察布市

职称：讲师

邮箱：lijx@imu.edu.cn

地址：bat365在线平台官网登录北校区卓越楼1007

二、教育背景

2018.09-2022.06, 兰州大学，计算机应用技术，博士

2015.09-2018.06, 兰州大学，计算机应用技术，硕士

2011.09-2015.06, 西北师范大学，计算机科学与技术，学士

三、工作经历

2022.08-至今，bat365在线平台官网登录，讲师

四、研究方向

研究领域为生物医学信号处理、脑科学与智能计算、机器学习等。当前研究主要从事机器学习在医疗辅助诊断中的应用研究以及脑疾病网络异常方面的研究。

五、项目情况

近五年参与科研项目情况：

1. 自然科学基金重点项目，61632014

2. 国家“973”计划，2014CB744600

六、发表论文

1. Li, J., Hao, Y., Zhang, W., Li, X., and Hu, B. Effective connectivity based EEG revealing the inhibitory deficits for distracting stimuli in major depression disorders [J]. IEEE Transactions on Affective Computing, pp. 1-1, 2021. DOI: 10.1109/TAFFC.2021.3054953. (SCI 1区)

2. Li, J., Li, N., Shao, X., Chen, J., Hao, Y., Li, X., and Hu, B. Altered Brain Dynamics and Their Ability for Major Depression Detection using EEG Microstates Analysis [J]. IEEE Transactions on Affective Computing, pp. 1-1, 2021.DOI: 10.1109/TAFFC.2021.3139104. (SCI 1区)

3. Li, J., Chen, J., Kong, W., Li, X., and Hu, B. Abnormal core functional connectivity on the pathology of MDD and antidepressant treatment: A systematic review [J]. Journal of Affective Disorders, vol. 296, pp. 622-634, Jan 1 2022. DOI:10.1016/j.jad.2021.09.074. (SCI 2区)

4. Li, J., Chen, J., Zhang, Z., Hao, Y., Li, X., and Hu, B.A thresholding method based on society modularity and role division for functional connectivity analysis[J].Journal of Neural Engineering. DOI:10.1088/1741-2552/ac8dc3. (SCI 2区)

5. Li, X., Li, J., and Hu, B., Zhu, J., Zhang, X., Wei, L., Zhong, N., Li, M., Ding, Z., Yang, J. Attentional bias in mdd: erp components analysis and classification using a dot-probe task[J]. Computer Methods and Programs in Biomedicine, 164, 169-179. DOI:10.1016/j.cmpb.2018.07.003. (SCI 2 区)

6. Zhu, J., Li, J., Li, X., Rao, J., Hao, Y., Ding, Z., Wang, G. Neural basis of the emotional conflict processing in major depression: ERPs and source localization analysis on the N450 and P300 components [J]. Frontiers in human neuroscience, vol. 12, 2018. DOI: 10.3389/fnhum.2018.00214. (SCI 3 区, 通讯作者）