陈元园，工学博士，湖北宜都人，天津大学助理研究员，长期从事多模态磁共振脑影像数据的分析与处理，致力于研究脑影像与行为认知和临床表征的关联关系，寻找有效的生物影像标记物，结合智能算法，实现疾病和异常的早期预警。至今在Cerebral Cortex， Developmental Cognitive Neuroscience, Frontiers in Ageing Neuroscience等期刊发表SCI论文20余篇， 获得授权发明专利7项，获得省部级科技奖励两项。目前感兴趣的研究领域主要包括：脑发育、脑龄及神经系统疾病预测。

神经影像数据处理与分析，脑连接组学分析，医学影像智能算法，关注脑发育、脑老化以及神经系统疾病的脑-行为关联与预测问题。

论文：

Chen, Y., Liu, S., Salzwedel, A., Stephens, R., Cornea, E., Goldman, B. D., Gilmore, J. H., & Gao, W. (2021). The Subgrouping Structure of Newborns with Heterogenous Brain-Behavior Relationships. Cerebral Cortex, 31(1), 301–311. https://doi.org/10.1093/cercor/bhaa226

Chen, H., Liu, J., Chen, Y., Salzwedel, A., Cornea, E., Gilmore, J. H., & Gao, W. (2021). Developmental heatmaps of brain functional connectivity from newborns to 6-year-olds. Developmental Cognitive Neuroscience, 50. https://doi.org/10.1016/j.dcn.2021.100976

Liu, J., Chen, Y., Stephens, R., Cornea, E., Goldman, B., Gilmore, J. H., & Gao, W. (2021). Hippocampal functional connectivity development during the first two years indexes 4-year working memory performance. Cortex, 138, 165–177. https://doi.org/10.1016/j.cortex.2021.02.005

Gao, W., Chen, Y., Cornea, E., Goldman, B. D., & Gilmore, J. H. (2020). Neonatal brain connectivity outliers identify over forty percent of IQ outliers at 4 years of age. Brain and Behavior, 10(12). https://doi.org/10.1002/brb3.1846

Salzwedel, A., Chen, G., Chen, Y., Grewen, K., & Gao, W. (2020). Functional dissection of prenatal drug effects on baby brain and behavioral development. Human Brain Mapping, 41(17), 4789–4803. https://doi.org/10.1002/hbm.25158

Chen, Y., Liu, Y. N., Zhou, P., Zhang, X., Wu, Q., Zhao, X., & Ming, D. (2019). The transitions between dynamic micro-states reveal age-related functional network reorganization. Frontiers in Physiology, 10(JAN). https://doi.org/10.3389/fphys.2018.01852

Li, M., Chen, Y., Chen, Z., Feng, J., Liu, M., Lou, X., Shu, S., Wang, Z., & Ma, L. (2019). Altered functional connectivity of the marginal division in Parkinson’s disease with mild cognitive impairment: A pilot resting-state fMRI study. Journal of Magnetic Resonance Imaging, 50(1), 183–192. https://doi.org/10.1002/jmri.26548

Zhao, X., Wu, Q., Chen, Y., Song, X., Ni, H., & Ming, D. (2019). Hub Patterns-Based Detection of Dynamic Functional Network Metastates in Resting State: A Test-Retest Analysis. Frontiers in Neuroscience, 13. https://doi.org/10.3389/fnins.2019.00856

Zhao, X., Wu, Q., Chen, Y., Song, X., Ni, H., & Ming, D. (2019). The Conjoint Analysis of Microstructural and Morphological Changes of Gray Matter During Aging. Frontiers in Neurology, 10. https://doi.org/10.3389/fneur.2019.00184

Chen, Y., Zhao, X., Zhang, X., Liu, Y., Zhou, P., Ni, H., Ma, J., & Ming, D. (2018). Age-related early/late variations of functional connectivity across the human lifespan. Neuroradiology, 60(4), 403–412. https://doi.org/10.1007/s00234-017-1973-1

Chen, Y., Sha, M., Zhao, X., Ma, J., Ni, H., Gao, W., & Ming, D. (2017). Automated detection of pathologic white matter alterations in Alzheimer’s disease using combined diffusivity and kurtosis method. Psychiatry Research - Neuroimaging, 264, 35–45. https://doi.org/10.1016/j.pscychresns.2017.04.004

Chen, Y., Wang, W., Zhao, X., Sha, M., Liu, Y., Zhang, X., Ma, J., Ni, H., & Ming, D. (2017). Age-related decline in the variation of dynamic functional connectivity: A resting state analysis. Frontiers in Aging Neuroscience, 9(JUN). https://doi.org/10.3389/fnagi.2017.00203

专利：

1.      一种基于扩散峰度成像的径向峰度各项异性定量方法，授权时间：2019年11月29日，ZL201710268833.X；1/8

2.      一种基于信噪比加权的多b值扩散磁共振成像优化方法，授权时间：2019年4月12日，ZL201610486441.6；（1/6）

3.      扩散峭度张量成像的高阶张量特征参数提取方法，授权时间：2015年12月2日，ZL201310056881.4；（2/6）

4.      网络交互的调节效应定量方法，授权时间：2019年4月5日，ZL201610825086.0；（3/6）

5.      一种基于互信息的多b值扩散权重图像的降噪方法，授权时间：2018年9月28日，ZL201410826045.4；（3/6）

6.      基于峰度张量分数各项异性微结构特征提取方法与装置，授权时间：2019年4月5日，ZL201610152503.X；（4/7）

7.      一种功能性电刺激膝关节角度控制方法，授权时间：2013年10月9日，ZL201110405730.6；（4/7）

2018年，天津市科学技术进步二等奖（5/8）

2015年，天津市科学技术进步二等奖（4/8）