研究概述：基于EEG、MRI等多模态数据探索精神疾病的异常神经机制表达。

发表论文：

1.Xuexiao Shao, Danfeng Yan, Wenwen Kong et al. Brain function changes reveal rapid antidepressant effects of nitrous oxide for treatment-resistant depression: Evidence from task-state EEG. Psychiatry Research. 2023, 322: 115072.

2.Xuexiao Shao, Wenwen Kong, Shuting Sun et al. Analysis of functional connectivity in depression based on a weighted hyper-network method. Journal of Neural Engineering. 2023, 20: 016023.

3.Xuexiao Shao, Shuting Sun, Jianxiu Li et al. Analysis of Functional Brain Network in MDD Based on Improved Empirical Mode Decomposition with Resting State EEG Data. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2021, 29: 1546-1556.

4.Xiangwei Zheng, Xiaochun Yin, Xuexiao Shao^# et al. Collaborative Sleep Electroencephalogram Data Analysis Based on Improved Empirical Mode Decomposition and Clustering Algorithm. Complexity. 2020, 3: 1496973。

5.Ming Ying^*, Xuexiao Shao^*, et al. EDT: An EEG-based attention model for feature learning and depression recognition. Biomedical Signal Processing and Control. 2024, 106182.

6.Xuexiao Shao, Ming Ying, Jing Zhu et al. Achieving EEG-based depression recognition using Decentralized-Centralized structure. Biomedical Signal Processing and Control, 2024, 106402.

7.Xuexiao Shao, Wenwen Kong, Huanjun Liu, et al. High-order Brain Network Analysis of Depression Based on Dynamic Functional Connectivity. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

8.Shuting Sun, Liangliang Liu, Xuexiao Shao et al. Abnormal Brain Topological Structure of Mild Depression During Visual Search Processing Based on EEG Signals. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2022, 30: 1705-1715.

9.Jianxiu Li, Nan Li, Xuexiao Shao et al. Altered Brain Dynamics and Their Ability for Major Depression Detection using EEG Microstates Analysis. IEEE Transactions on Affective Computing. 2021, PP(99):1-1.

主持课题：

山东省自然科学基金青年项目，基于同步脑电-功能磁共振信息融合的抑郁早期识别模型研究，2025-01至2027-12，8万；