刘潇雅-天津大学医学院

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刘潇雅

职称：助理研究员，高级工程师

办公室：医学部教学楼424室

邮箱：liuxiaoya@tju.edu.cn

个人简介

刘潇雅，硕士生导师，现为天津大学医学院助理研究员、高级工程师。作为项目负责人/项目骨干参与国家重点研发计划、天津市自然科学基金青年项目、重点项目以及各部委重点实验室开放课题等多项。以第一作者/通讯作者在Journal of affective disorder、 IEEE Transactions on Neural Systems and Rehabilitation Engineering等精神障碍领域top期刊发表SCI论文10余篇，授权国家发明专利近10项，实审美国发明专利1项。作为技术骨干参与研发面向抑郁评估的情感脑机交互系统“神工-神心”，该成果入选2022年北京“奋进新时代”主题成就展。

主要研究方向

抑郁障碍、双相情感障碍等精神疾病的脑机制、识别方法以及调控技术研究

代表性学术成果

论文：

[1] Xiaoya Liu, Shuang Liu, Meijuan Li, Fangyue Su, Sitong Chen, Yufeng Ke, Dong Ming. Altered gamma oscillations and beta–gamma coupling in drug-naive first-episode major depressive disorder: association with sleep and cognitive disturbance[J]. Journal of Affective Disorders, 2022, 316: 99-108.

[2] Xiaoya Liu, Shuang Liu, Fangyue Su, Wenquan Zhang, Yufeng Ke, Dong Ming. Neurophysiological Signatures of Major Depressive Disorder and Frontocentral Gamma Auditory Response Deficits[J]. Depression and Anxiety, 2025, 73: 1-15.

[3] Xianyun Kang^#, Xiaoya Liu^#, Sitong Chen, Wenquan Zhang, Shuang Liu, Dong Ming. Major depressive disorder recognition by quantifying EEG signal complexity using proposed APLZC and AWPLZC[J]. Journal of Affective Disorders, 2024, 356: 105-114.

[4] Shuang Liu^#, Xiaoya Liu^#, Sitong Chen, Fangyue Su, Bo Zhang, Yufeng Ke, Jie Li, Dong Ming. Neurophysiological markers of depression detection and severity prediction in first-episode major depressive disorder[J]. Journal of Affective Disorders, 2023, 331: 8-16.

[5] Shuang Liu^#, Xiaoya Liu^#, Danfeng Yan, Sitong Chen, Yanli Liu, Xinyu Hao, Wenwen Ou, Zhenni Huang, Feng He, Dong Ming. Alterations in Patients with First-Episode Depression in the Eyes-Open and Eyes-Closed Conditions: A Resting-State EEG Study[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, 30:1019-1029.

[6] Wang Tong^#, Xiaoya Liu^#, Duan Moxin, Zhang Bo, An, Li, Liu Shuang, Ming Dong. Cognitive reappraisal improves the social decision-making performance of suicide attempters[J]. Fundamental Research, 2025, 1: 115-123.

[7] Sitong Chen^#, Xiaoya Liu^#, Zhenni Huang, Fangyue Su, Wenquan Zhang, Jie Li, Shuang Liu, Dong Ming. Spatiotemporal connectivity maps abnormal communication pathways in major depressive disorder underlying gamma oscillations[J]. Cerebral Cortex, 2023, 33:9313-9324.

[8] Xiaoya Liu, Shuang Liu, Dongyue Guo, Yue Sheng, Yufeng Ke, Xingwei An, Feng He, Dong Ming. Enhanced Auditory Steady-State Response Using an Optimized Chirp Stimulus-Evoked Paradigm[J]. Sensors, 2019, 19:1-10.

[9] Minghao Du, Tao Li, Yunuo Xu, Peng Fang, Xin Xu, Ping Shi, Wei Liu, Xiaoya Liu（通讯作者）, Shuang Liu. Camera-based Gait Kinematic Features Analysis and Recognition of Autism Spectrum Disorder[C]. 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024:1-4.

[10] Weina Dai, Tao Wang, Feifan Yan, Xiaoya Liu（通讯作者）, Shuang Liu. Fusion Network Modeling for Cross-Time Emotion Recognition from EEG[C]. 10th International Conference on Biomedical and Bioinformatics Engineering, 2023: 162-167.

[11] Xiaoya Liu, Shuang Liu, Dongyue Guo, Yue Sheng, Yufeng Ke, Xingwei An, Minpeng Xu, Feng He, Xiaoman Cheng, Dong Ming. Effect of Emotion States on the Updating Function of Working Memory[C]. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018:1907-1910.

[12] 刘潇雅, 刘爽, 郭冬月, 安兴伟, 杨佳佳, 明东. 抑郁症脑电特异性研究进展[J]. 中国生物医学工程学报, 2020, 39:11-17.

专利：

[1] 基于IAB在线调控睁、闭眼状态的静息脑电采集方法。国家发明专利，2021年6月，专利号：ZL 201811190400.8。

[2] 基于高频gamma神经振荡的自适应ASSR增强装置。国家发明专利，2022年11月，专利号：ZL 202211038301.4。

[3] 基于交叉频率耦合的个体化认知功能调节装置。国家发明专利，2022年12月，专利号：ZL 202211038307.1。

[4] AUTOMATIC DETECTION SYSTEM FOR DEPRESSIVE DISORDER BASED ON HIGH FREQUENCY AUDITORY STEADY-STATE RESPONSE。美国发明专利，2023年2月，专利号：US18/102,495。

[5] 一种基于高频听觉稳态响应的抑郁症自动检测系统。国家发明专利，2023年5月，专利号：ZL 202211441030.7。

[6] 抑郁评估机器人。国家外观专利，2024年7月，专利号：ZL 202330744315.7。

[7] 一种个性化电刺激信号生成系统及其otDCS干预方法。国家发明专利，2025年10月，专利号：ZL 202411466860.4。

科研项目

1. 科技部国家重点研发计划，超微生机交互系统高通量读译控关键技术及应用，2023.11-2026.10，参与单位负责人，80万元。

2. 天津市重点项目，孤独症患儿的语音、面部表情及姿态特异性表征及识别模型研究，2023.10-2026.09，校内负责人，23.33万元。