临床上部分MCS患者可以转归到正常有意识状态，其意识恢复的机制既是临床脑康复医学、也是神经科学共同关注的问题，对其深入探索无论对脑康复医学还是意识最终阐明都具有重要意义。本项目以严重意识障碍MCS为意识病理性模型，从脑功能网络及其动态演化入手，开展意识恢复机制研究。项目主要研究内容包括：获取MCS患者康复过程不同时间节点的EEG 、fMRI数据；构建基于脑电 EEG和 fMRI数据源的脑功能网络；研究局部脑功能连接、脑网络关键节点、全脑网络拓扑属性、以及脑网络的动态演化；通过对不同时间节点的脑功能网络特性与意识神经心理量表的对比分析，探索脑网络重构及其动态演化与意识恢复在时间空间上的相关性和因果关系，以及意识相关的关键节点、关键通路等。通过本项目研究，将在意识研究方法上进行创新，有望在意识研究领域取得国际先进成果， 并为临床医学提供一定的理论指导。

A part of MCS patients could recover their normal consciousness in clinical, it is a common concerns to investigate its mechanism both for brain rehabilitation medicine and for neuroscience, therefore, it has great significance both for the two research areas. In this program, the mechanism of consciousness recovery will be explored from the path of brain network dynamic evolution based on consciousness pathological model. The content include: to obtain EEG and fMRI data with different time points for MCS patients; to construct brain network using EEG and fMRI data; to investigate the local brain function links, the hubs of brain function network, the whole brain topological property and the brain network dynamic evolution; to explore the causality in spacious and temporal between brain network dynamic evolution and consciousness recovery, finally, to find the key nodes and pathways related to consciousness. Through this project, we will innovate in methodology of consciousness research, and achieve international advanced results in consciousness research areas, and provide theoretical guidance for clinical medicine.