Time-delay structure predicts clinical scores for patients with disorders of consciousness using resting-state fMRI.
Time-delay structure predicts clinical scores for patients with disorders of consciousness using resting-state fMRI.
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DOI：
10.1016/j.nicl.2021.102797
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Huang R
中科院分区：
文献类型：
--
作者：
Cao B;Guo Y;Guo Y;Xie Q;Chen L;Huang H;Yu R;Huang R
TDE和PFE能较好地反映DOC患者IBA的时间组织。DOC患者TDP和PFP异常主要见于DMN和SMN。DOC患者的Td值范围较健康对照组缩短。IBA的时间传播结构可以用来预测DOC患者的临床评分。脑内固有活动(IBA)的检测有助于意识障碍(DOC)患者的临床评估。先前的研究已经通过功能连接性(FC)分析揭示了DOC患者丘脑皮质、额顶叶和默认模式网络中IBA的改变。然而，由于FC中IBA的同步性假设，这些研究可能不足以理解重型颅脑损伤对IBA的影响以及DOC患者IBA的时间组织与临床特征之间的关系。最近，时延估计(TDE)和概率流估计(PFE)被提出用来分析时间组织，可以提供全脑水平的传播结构和传播概率。我们应用体素TDE和PFE来评估DOC患者的传播结构和传播概率，然后基于ROI的TDE和PFE应用基于连接组的预测建模(CPM)来预测患者的临床评分。研究发现：1)DOC患者中央前回、楔前回、扣带回中回和中央后回的体素时延(TD)和概率流(PF)异常；2)DOC患者的TD值范围小于对照组；(3)ROI时延对患者临床评分的预测效果优于ROI时延。我们的发现可能表明IBA的传播结构可以用来预测DOC患者的临床评分。
TDE and PFE can characterize the temporal organization of iBA in DOC patients. DOC patients showed abnormal TDP and PFP mainly in DMN and SMN. DOC patients had a shortened range of TD value relative to the healthy controls. The temporal propagation structure of iBA can be used to predict clinical scores for DOC patients. The detection of intrinsic brain activity (iBA) could assist clinical assessment for disorder of consciousness (DOC) patients. Previous studies have revealed the altered iBA in thalamocortical, frontoparietal, and default mode network in DOC patients using functional connectivity (FC) analysis. However, due to the assumption of synchronized iBA in FC, these studied may be inadequate for understanding the effect of severe brain injury on the temporal organization of iBA and the relationship between temporal organization and clinical feature in DOC patients. Recently, the time delay estimation (TDE) and probabilistic flow estimation (PFE) were proposed to analyze temporal organization, which could provide propagation structure and propagation probability at whole-brain level. We applied voxel-wise TDE and PFE to assess propagation structure and propagation probability for the DOC patients and then applied the connectome-based predictive modeling (CPM) to predict clinical scores for patients based on the ROI-wise TDE and PFE. We found that: 1) the DOC patients showed abnormal voxel-wise time delay (TD) and probabilistic flow (PF) in the precentral gyrus, precuneus, middle cingulate cortex, and postcentral gyrus, 2) the range of TD value in the patients was shorter than that in the controls, and 3) the ROI-wise TD had a better predictive performance for clinical scores of the patients compared with that based on ROI-wise PF. Our findings may suggest that the propagation structure of iBA could be used to predict clinical scores in DOC patients.
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