时维阳，男，中共党员，博士，中国科学院自动化研究所助理研究员。主要研究方向为脑网络组学。
近年来在脑网络组学与精神疾病影像标志物研究领域取得重要进展，以第一作者在 Cerebral Cortex、Neuroscience Bulletin 等国际期刊及 MICCAI 顶级会议发表论文3篇，主持国家自然科学基金青年项目、中国博士后科学基金项目，入选国家资助博士后计划。
一、主持的部分科研项目
[1] 国家自然科学基金委员会，项目名称：“国家自然科学基金-青年科学基金项目（C类）”，立项时间：2025.
[2] 中国博士后科学基金会，项目名称：“中国博士后科学基金”，立项时间：2024.
二、近年来发表的主要论文
[1] Shi W, Fan L, Wang H, et al. Two subtypes of schizophrenia identified by an individuallevel atypical pattern of tensor-based morphometric measurement[J]. Cerebral Cortex, 2023, 33(7): 3683-3700.
[2] Shi W, Fan L, Jiang T. Developing neuroimaging biomarker for brain diseases with a machine learning framework and the brainnetome atlas[J]. Neuroscience Bulletin, 2021, 37(10): 1523-1525.
[3] Luo N#, Shi W#, Yang Z, et al. Multimodal fusion of brain imaging data: Methods and applications[J]. Machine Intelligence Research, 2024, 21(1): 136-152.
[4] Shi W, Xu K, Song M, et al. Constrain latent space for schizophrenia classification via dual space mapping net[C]//Medical Image Computing and Computer Assisted InterventionMICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I 23. Springer International Publishing, 2020: 85-94.
[5] Li J, Cao D, Dimakopoulos V, Shi W, et al. Anterior–posterior hippocampal dynamics support working memory processing[J]. Journal of Neuroscience, 2022, 42(3): 443-453.
[6] Li W, Fan L, Shi W, et al. Brainnetome atlas of preadolescent children based on anatomical connectivity profiles[J]. Cerebral Cortex, 2023, 33(9): 5264-5275.
[7] Chu C, Li W, Shi W, et al. Co-representation of functional brain networks is shaped by cortical myeloarchitecture and reveals individual behavioral ability[J]. Journal of Neuroscience, 2024, 44(13).
邮箱：shiweiyang2017@ia.ac.cn
