研究概述：采用多组学分析和深度学习技术，通过收集帕金森或抑郁症患者神经影像、脑电信号及诊断评估数据，构建深度学习模型提取特征并实现早期诊断与性能评估；利用模型特征分析患者神经信号异常，对比健康人群数据揭示其神经调控机制的特异性变化；并基于模型预测治疗效果，结合发病机制探索靶向疗法，为新型治疗方法的临床试验与开发提供理论支持。

招生专业/方向：生物学/神经生物学/化学/生物医学工程

发表论文：

1.Zhuang Q, Zhang R, Li X, Ma D, Wang Y. Identification of the shared molecular mechanisms between major depressive disorder and COVID-19 from postmortem brain transcriptome analysis. J Affect Disord. 2024 Feb 1;346:273-284.

2.Zhuang Q, Wang J, Li X, Zhang X, Wang Y. Key Risk Genes Identified From the Postmortem Brain of Patients With Major Depressive Disorder and Their Potential Clinical Applications. Int J Neuropsychopharmacol. 2023 Jun 23;26(6):396-411.

3.Zhuang QS, Meng L, Wang Z, Shen L, Ji HF. Associations Between Obesity and Alzheimer's Disease: Multiple Bioinformatic Analyses. J Alzheimers Dis. 2021;80(1):271-281.

4.Su J, Li P, Zhuang Q, Chen X, Zhang X, Li X, Wang J, Yu X, Wang Y. Identification of the Similarities and Differences of Molecular Networks Associated With Fear Memory Formation, Extinction, and Updating in the Amygdala. Front Mol Neurosci. 2021 Dec 2;14:778170.