Identifying Disruptions in Intrinsic Brain Dynamics due to Severe Brain Injury.
Identifying Disruptions in Intrinsic Brain Dynamics due to Severe Brain Injury.
复制标题
识别严重脑损伤导致的大脑内在动力学破坏。
DOI：
10.1109/acssc.2017.8335197
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Ching,ShiNung
中科院分区：
文献类型：
--
作者：
Khanmohammadi,Sina;Kummer,TerranceT;Ching,ShiNung
最近的研究表明，静息状态功能连通性的中断-大脑区域之间静态统计关联的衡量标准-可以作为脑损伤的客观标志。然而，较少的特征研究了脑损伤后内在脑动力学的破坏。在这里，我们使用脑损伤患者的脑电(EEG)数据结合对照分析来研究这个问题，在对照分析中，我们量化了损伤对内在事件反应穿越各自状态空间的能力的影响。更具体地说，通过将获得的EEG信号的所有通道中的三个西格玛事件响应折叠到低维空间中来评估内在诱发的大脑活动的不稳定性。这些反应的方向导数随后被用来分析大脑活动达到低方差子空间的程度。我们的发现表明，从静息状态脑电信号中提取的内在动力学可以区分严重昏迷患者的不同意识水平。更具体地说，随着患者意识水平的恶化，在潜在动态的状态空间轨迹中从一种状态转移到另一种状态的成本变得更低。
Recent studies suggest that disruptions in resting state functional connectivity - a measure of stationary statistical association between brain regions - can be used as an objective marker of brain injury. However, fewer characterizations have examined the disruption of intrinsic brain dynamics after brain injury. Here, we examine this issue using electroencephalo-graphic (EEG) data from brain-injured patients, together with a control analysis wherein we quantify the effect of the injury on the ability of intrinsic event responses to traverse their respective state spaces. More specifically, the lability of intrinsically evoked brain activity was assessed by collapsing three sigma event responses in all channels of the obtained EEG signals into a low-dimensional space. The directional derivative of these responses was then used to assay the extent to which brain activity reaches low-variance subspaces. Our findings suggest that intrinsic dynamics extracted from resting state EEG signals can differentiate various levels of consciousness in severe cases of coma. More specifically the cost of moving from one state to another in the state-space trajectories of the underlying dynamics becomes lower as the level of consciousness of patients deteriorates.