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本文引用的文献

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Resting-state functional connectivity: An emerging method for the study of language networks in post-stroke aphasia.静息态功能连接性:一种用于研究中风后失语症语言网络的新兴方法。
Brain Cogn. 2019 Apr;131:22-33. doi: 10.1016/j.bandc.2017.08.005. Epub 2017 Aug 31.
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The repetition of behavioral assessments in diagnosis of disorders of consciousness.行为评估在意识障碍诊断中的重复应用。
Ann Neurol. 2017 Jun;81(6):883-889. doi: 10.1002/ana.24962.
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Prevalence of coma-recovery scale-revised signs of consciousness in patients in minimally conscious state.微意识状态患者中修订版昏迷恢复量表意识体征的患病率
Neuropsychol Rehabil. 2018 Dec;28(8):1350-1359. doi: 10.1080/09602011.2017.1310656. Epub 2017 Apr 11.
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Sedation of Patients With Disorders of Consciousness During Neuroimaging: Effects on Resting State Functional Brain Connectivity.神经成像期间意识障碍患者的镇静:对静息态脑功能连接的影响。
Anesth Analg. 2017 Feb;124(2):588-598. doi: 10.1213/ANE.0000000000001721.
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The neural correlates of lexical processing in disorders of consciousness.意识障碍患者的词汇处理的神经相关物。
Brain Imaging Behav. 2017 Oct;11(5):1526-1537. doi: 10.1007/s11682-016-9613-7.
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Disentangling disorders of consciousness: Insights from diffusion tensor imaging and machine learning.解析意识障碍:来自扩散张量成像和机器学习的见解
Hum Brain Mapp. 2017 Jan;38(1):431-443. doi: 10.1002/hbm.23370. Epub 2016 Sep 13.
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A hierarchy of event-related potential markers of auditory processing in disorders of consciousness.意识障碍中听觉处理的事件相关电位标记层次结构。
Neuroimage Clin. 2016 Aug 4;12:359-71. doi: 10.1016/j.nicl.2016.08.003. eCollection 2016.
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Brain-computer interfaces for patients with disorders of consciousness.用于意识障碍患者的脑机接口。
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Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke.网络连接中断预示着中风后多个行为领域的损伤。
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根据静息功能连接对最小意识状态进行临床亚分类。

Clinical subcategorization of minimally conscious state according to resting functional connectivity.

机构信息

Coma Science Group, GIGA Research Center and Neurology Department, University and University Hospital of Liège, Liège, Belgium.

Auditory Cognition and Psychoacoustics Team - Lyon Neuroscience Research Center (UCBL, CNRS UMR5292, Inserm U1028), Lyon, France.

出版信息

Hum Brain Mapp. 2018 Nov;39(11):4519-4532. doi: 10.1002/hbm.24303. Epub 2018 Jul 4.

DOI:10.1002/hbm.24303
PMID:29972267
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6866360/
Abstract

Patients in minimally conscious state (MCS) have been subcategorized in MCS plus and MCS minus, based on command-following, intelligible verbalization or intentional communication. We here aimed to better characterize the functional neuroanatomy of MCS based on this clinical subcategorization by means of resting state functional magnetic resonance imaging (fMRI). Resting state fMRI was acquired in 292 MCS patients and a seed-based analysis was conducted on a convenience sample of 10 MCS plus patients, 9 MCS minus patients and 35 healthy subjects. We investigated the left and right frontoparietal networks (FPN), auditory network, default mode network (DMN), thalamocortical connectivity and DMN between-network anticorrelations. We also employed an analysis based on regions of interest (ROI) to examine interhemispheric connectivity and investigated intergroup differences in gray/white matter volume by means of voxel-based morphometry. We found a higher connectivity in MCS plus as compared to MCS minus in the left FPN, specifically between the left dorso-lateral prefrontal cortex and left temporo-occipital fusiform cortex. No differences between patient groups were observed in the auditory network, right FPN, DMN, thalamocortical and interhemispheric connectivity, between-network anticorrelations and gray/white matter volume. Our preliminary group-level results suggest that the clinical subcategorization of MCS may involve functional connectivity differences in a language-related executive control network. MCS plus and minus patients are seemingly not differentiated by networks associated to auditory processing, perception of surroundings and internal awareness/self-mentation, nor by interhemispheric integration and structural brain damage.

摘要

处于最小意识状态(MCS)的患者已根据指令遵循、可理解的言语或有意沟通,进一步分为 MCS 加和 MCS 减。我们旨在通过静息态功能磁共振成像(rs-fMRI),基于这种临床分类更好地描述 MCS 的功能神经解剖结构。在 292 名 MCS 患者中采集静息态 fMRI,在 10 名 MCS 加患者、9 名 MCS 减患者和 35 名健康对照者的便利样本中进行基于种子的分析。我们研究了左、右侧额顶叶网络(FPN)、听觉网络、默认模式网络(DMN)、丘脑皮质连接以及 DMN 间网络负相关。我们还采用基于感兴趣区(ROI)的分析来检查半球间连接,并通过体素形态计量学检查灰质/白质体积的组间差异。与 MCS 减相比,我们发现 MCS 加患者左侧额顶叶网络,特别是左侧背外侧前额叶皮质与左侧颞枕梭状回之间的连接更高。在听觉网络、右侧 FPN、DMN、丘脑皮质连接和半球间连接、网络间负相关以及灰质/白质体积方面,患者组之间没有差异。我们的初步群组水平结果表明,MCS 的临床分类可能涉及语言相关执行控制网络的功能连接差异。MCS 加和减患者在与听觉处理、周围环境感知和内部意识/自我思维相关的网络,以及半球间整合和结构脑损伤方面似乎没有差异。