北京师范大学认知神经科学博士，现任北京师范大学文理学院心理系系特聘副研究员。主要从事脑功能影像（fMRI，fNIRS）的计算建模技术在脑发育和精神健康领域的应用研究，重点关注青少年人群精神障碍脑发育机制和早期风险预测，脑影像引导下的神经调控。在Science Advances，Biological Psychiatry等刊物发表SCI论文16篇参与国家自然科学基金重点项目和面上项目多项。

教育背景

2007.09-2011.06    吉林大学，计算机科学与技术，理学学士

2012.09-2018.01    北京师范大学，认知神经科学，理学博士

工作经历

2018.11-2024.04．  美国国立卫生院（NIH）博士后访问学者

2024.06——至今     北京师范大学文理学院心理系，特聘副研究员

研究方向

1. 儿童青少年精神障碍风险的脑发育机制

2. 脑影像引导的神经调控技术和应用

科研项目

1. 基于血氧代谢信号的神经反馈：关键理论与技术研究；国家自然科学基金重点项目；2015-2019；参与

2. 基于光电同步脑活动检测的脑机接口与神经反馈系统开发与应用研究；国家重大科学仪器设备开发专项（科技部）；2012-2016参与

3. 基于光学成像的情绪脑模式识别关键技术研究；国家自然科学基金面上项目；2013-2016；参与

著作论文

1. Xiao, X., Hammond, C., Salmeron, B.J., Wang, D., Gu, H., Zhai, T., Nguyen, H., Lu, H., Ross, T.J. and Yang, Y., 2024. Brain functional connectome defines a transdiagnostic dimension shared by cognitive function and psychopathology in preadolescents.Biological psychiatry, 95(12), pp.1081-1090.

2. Cao, Z.*, Xiao, X.*, Zhao, Y., Jiang Y.H., Paillère-Martinot, M., Artiges, E., Li, Z., Daskalakis, Z., Yang, Y.H., Zhu, C.# (2023) Targeting the pathological network: Feasibility of network-based optimization of transcranial magnetic stimulation coil placement for treatment of psychiatric disorders. Frontiers in Neuroscience, 16, 1079078.

3. Cao, Z., Xiao, X., Xie, C., Wei, L., Yang, Y. and Zhu, C., 2024. Personalized connectivity-based network targeting model of transcranial magnetic stimulation for treatment of psychiatric disorders: computational feasibility and reproducibility. Frontiers in Psychiatry, 15, p.1341908.

4. Xiao, X., Yu, X., Zhang, Z., Zhao, Y., Jiang, Y., Li, Z., Yang, Y. and Zhu, C.# (2018) Transcranial brain atlas. Science Advances, 4(9), p.eaar6904.

5. Xiao, X., Zhu, H., Liu, W. J., Yu, X. T., Duan, L., Li, Z., Zhu, C.#(2017) Semi-automatic 10/20 Identification Method for MRI-Free Probe Placement in Transcranial Brain Mapping Techniques. Frontiers in Neuroscience, 11:4.

6. Wang, D., Fan, Q., Xiao, X., He, H. J., Yang, Y. H., Li, Y. (2023) Structural fingerprinting of the frontal aslant tract: predicting cognitive capacity and obsessive-compulsive symptoms. Journal of Neuroscience.

7. Tian, M., Xiao, X., Hu, H., Cusack, R. and Bedny, M., 2024. Visual experience shapes functional connectivity between occipital and non-visual networks. eLife, 13.

8. Hou, X., Xiao, X., Gong, Y., Jiang, Y., Sun, P., Li, J., Li, Z., Zhao, X., Yao, L., Chen, A. and Zhu, C., 2021. Functional Near-Infrared Spectroscopy Neurofeedback of Cortical Target Enhances Hippocampal Activation and Memory Performance. Neuroscience Bulletin, pp.1-5.

9. Hou, X., Xiao, X., Gong, Y., Li, Z., Chen, A., & Zhu, C. (2021). Functional Near-Infrared Spectroscopy Neurofeedback Enhances Human Spatial Memory. Frontiers in Human Neuroscience, 15.

10. Zhao, Y., Xiao, X., Jiang, Y.H., Sun, P.P., Zhang, Z., Gong, Y.L., Li, Z. and Zhu, C.Z., 2021. Transcranial brain atlas‐based optimization for functional near‐infrared spectroscopy optode arrangement: Theory, algorithm, and application. Human Brain Mapping, 42(6), pp.1657-1669.

11. Zhang, Z., Li, Z., Xiao, X., Zhao, Y., Zuo, X.N. and Zhu, C., 2021. Transcranial brain atlas for school-aged children and adolescents. Brain Stimulation, 14(4), pp.895-905.

12. Jiang, Y., Li, Z., Zhao, Y., Xiao, X., Zhang, W., Sun, P., Yang, Y. and Zhu, C., 2020. Targeting brain functions from the scalp: Transcranial brain atlas based on large-scale fMRI data synthesis. NeuroImage, 210, p.116550.

13. Dai, R., Liu, R., Liu, T., Zhang, Z., Xiao, X., Sun, P., Yu, X., Wang, D. and Zhu, C., 2018. Holistic cognitive and neural processes: a fNIRS-hyperscanning study on interpersonal sensorimotor synchronization. Social Cognitive and Affective Neuroscience, 13(11), pp.1141-1154.

14. Zhao, Y., Dai, R. N., Xiao, X., Zhang, Z., Duan, L., Li, Z., Zhu., C.Z.(2017) Independent component analysis-based source-level hyperlink analysis for two-person neuroscience studies. Journal of Biomedical Optics. 22(2):027004.

15. Duan, L., Dai, R. N., Xiao, X., Sun, P. P., Li, Z., Zhu, C.Z. (2015) Cluster imaging of multi-brain networks (CIMBN): a general framework for hyperscanning and modeling a group of interacting brains. Frontiers in Neuroscience, 9:267.

16. Huang, Y. X., Mao, M.C., Zhang, Z., Zhou, H., Zhao, Y., Duan, L., Kreplin, U., Xiao, X., and Zhu, C.Z.(2017) Test–retest reliability of the prefrontal response to affective pictures based on functional near-infrared spectroscopy, Journal of Biomedical Optics. 22(1):016011.