科学问题
问题细化？文献查找
看看目前大家都做到什么程度了

（我们关注的是图中第三点）
文献检索关键点：
- 建立基于多模态数据的儿童行为心理发育特征预测模型

其他需要了解的内容：
脑影像 标准化的一些技术 （生医工李瑶老师、北师大贺永团队）

科学问题的合理性
是否有团队在做？ 目前做到什么程度了？
- 以标准化的影像数据、基因数据、临床数据为输入，建立高维度、跨尺度儿童心理发展智能预测模型

文献查找

• Diffusion-MRI-based regional cortical microstructure at birth for predicting neurodevelopmental outcomes of 2-year-olds https://elifesciences.org/articles/58116
• 【Protocol】Prediction of childhood brain outcomes in infants born preterm using neonatal MRI and concurrent clinical biomarkers (PREBO-6): study protocol for a prospective cohort study https://bmjopen.bmj.com/content/10/5/e036480.abstract
• The Developmental Chronnecto-Genomics (Dev-CoG) study: A multimodal study on the developing brain https://www.sciencedirect.com/science/article/pii/S105381192030923X

基于脑影像的精神疾病预测：https://zhuanlan.zhihu.com/p/143261510
医疗大数据在神经系统疾病中的应用：https://news.medlive.cn/all/info-progress/show-179292_181.html

Baby Connectome Project (BCP)

The purpose of the Baby Connectome Project (BCP) is to comprehensively and systematically collect MR imaging data and behavioral assessments in healthy children between the ages of 0 and 5 years old.
https://iseg2017.web.unc.edu/baby-connectome-project/
https://babyconnectomeproject.org/
https://fnih.org/our-programs/baby-connectome-project

https://han.web.unc.edu/han-zhangs-cv/
Basic _Research 1 _Understanding the infant brain, especially the neonate’s brain, could help us know better about how our brain develops in such a pivotal early life stage where our cognitive abilities are emerging, rapidly growing and dramatically changing. It also helps to early detect and intervention to neurodevelopmental diseases, such as autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). My role is to, based on the big longitudinal data collected in the Baby Connectome Project (BCP), developing methods and establishing pipelines for resting-state fMRI studies on characterizing normative developmental trajectories of early-life brain functional connectome and the predictive value for early cognitive development. This work utilizes approaches developed by an NIH grant (1U01MH110274) and the efforts of the UNC/UMN Baby Connectome Project Consortium. The data and pipeline will be shared with the public, which will significantly boost the research and fill the long-existing gaps in this field.