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[The Russian version of Coma Recovery Scale-revised - a standardized method for assessment of patients with disorders of consciousness].[修订版昏迷恢复量表俄文版——评估意识障碍患者的标准化方法]
Zh Nevrol Psikhiatr Im S S Korsakova. 2018;118(3. Vyp. 2):25-31. doi: 10.17116/jnevro20181183225-31.
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Brain functional connectivity differentiates dexmedetomidine from propofol and natural sleep.脑功能连接可区分右美托咪定、丙泊酚和自然睡眠。
Br J Anaesth. 2017 Oct 1;119(4):674-684. doi: 10.1093/bja/aex257.
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Measures of metabolism and complexity in the brain of patients with disorders of consciousness.意识障碍患者大脑中的代谢与复杂性测量
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Proportional thresholding in resting-state fMRI functional connectivity networks and consequences for patient-control connectome studies: Issues and recommendations.静息态功能磁共振成像功能连接网络中的比例阈值设定及其对患者-对照连接组研究的影响:问题与建议
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Mapping the functional connectome traits of levels of consciousness.绘制意识水平的功能连接组特征图谱。
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Dexmedetomidine Disrupts the Local and Global Efficiencies of Large-scale Brain Networks.右美托咪定破坏大规模脑网络的局部和全局效率。
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Fast Sequential Creation of Random Realizations of Degree Sequences.度序列随机实现的快速顺序创建。
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Multimodal study of default-mode network integrity in disorders of consciousness.意识障碍中默认模式网络完整性的多模态研究。
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意识障碍相关功能连接网络的异常程度。

Degrees of functional connectome abnormality in disorders of consciousness.

机构信息

Research Center of Neurology, 80 Volokolamskoe shosse, Moscow, 125367, Russia.

出版信息

Hum Brain Mapp. 2018 Jul;39(7):2929-2940. doi: 10.1002/hbm.24050. Epub 2018 Mar 25.

DOI:10.1002/hbm.24050
PMID:29575425
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6866294/
Abstract

Understanding the neuronal basis of disorders of consciousness can help improve the accuracy of their diagnosis, indicate potential targets for therapeutic interventions, and provide insights into the organization of normal conscious information processing. Measurements of brain activity have been used to find associations of the levels of consciousness with brain complexity, topological features of functional connectomes, and disruption of resting-state networks. However, obtainment of a detailed picture of activity patterns underlying the vegetative state/unresponsive wakefulness syndrome and the minimally conscious state remains a work in progress. We here aimed at finding the aspects of fMRI-based functional connectivity that differentiate these states from each other and from the normal condition. A group of 22 patients was studied (9 minimally conscious state and 13 vegetative state/unresponsive wakefulness syndrome). Patients were shown to have reduced connectivity in most resting-state networks and disrupted patterns of relative connection strengths as compared to healthy subjects. Differences between the unresponsive wakefulness syndrome and the minimally conscious state were found in the patterns formed by a relatively small number of strongest positive correlations selected by thresholding. These differences were captured by measures of functional connectivity disruption that integrate area-specific abnormalities over the whole brain. The results suggest that the strong positive correlations between the functional activities of specific brain areas observed in healthy individuals may be critical for consciousness and be an important target of disruption in disorders of consciousness.

摘要

理解意识障碍的神经基础有助于提高其诊断的准确性,指出潜在的治疗干预靶点,并深入了解正常意识信息处理的组织方式。脑活动的测量被用于寻找意识水平与大脑复杂性、功能连接组的拓扑特征以及静息态网络中断之间的关联。然而,要获得植物状态/无反应觉醒综合征和最小意识状态下活动模式的详细情况仍然是一个正在进行的工作。我们旨在寻找基于 fMRI 的功能连接的各个方面,这些方面可以将这些状态彼此区分开来,并与正常状态区分开来。对 22 名患者进行了研究(9 名最小意识状态和 13 名植物状态/无反应觉醒综合征)。与健康受试者相比,患者的大多数静息态网络连接减少,相对连接强度模式中断。在通过阈值选择的相对少量最强正相关形成的模式中,发现了无反应觉醒综合征和最小意识状态之间的差异。这些差异被整合整个大脑区域特定异常的功能连接破坏度量来捕捉。结果表明,在健康个体中观察到的特定脑区功能活动之间的强正相关可能对意识至关重要,并且是意识障碍中破坏的重要目标。