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首页> 外文期刊>Journal of neurology >Global functional connectivity reveals highly significant differences between the vegetative and the minimally conscious state
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Global functional connectivity reveals highly significant differences between the vegetative and the minimally conscious state

机译:全局功能连接揭示了植物状态和最低意识状态之间的显着差异

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摘要

A major challenge in the diagnosis of disorders of consciousness is the differential diagnosis between the vegetative state (VS) and the minimally conscious state (MCS). Clinically, VS is defined by complete unawareness, whereas MCS is defined by the presence of inconsistent but clearly discernible behavioural signs of consciousness. In healthy individuals, pain cries have been reported to elicit functional activation within the pain matrix of the brain, which may be interpreted as empathic reaction. In this study, pain cries were presented to six VS patients, six MCS patients, and 17 age-matched healthy controls. Conventional task-related functional magnetic resonance imaging (fMRI) showed no significant differences in functional activation between the VS and MCS groups. In contrast to this negative finding, the application of a novel data-driven technique for the analysis of the brain's global functional connectivity yielded a positive result. The weighted global connectivity (WGC) was significantly greater in the MCS group compared to the VS group (p < 0.05, family-wise error corrected). Using areas of significant WGC differences as 'seed regions' in a secondary connectivity analysis revealed extended functional networks in both MCS and healthy groups, whereas no such long-range functional connections were observed in the VS group. These results demonstrate the potential of functional connectivity MRI (fcMRI) as a clinical tool for differential diagnosis in disorders of consciousness.
机译:诊断意识障碍的主要挑战是营养状态(VS)和最低意识状态(MCS)之间的差异诊断。在临床上,VS是由完全不了解所定义的,而MCS是由意识的不一致但清晰可辨的行为迹象的存在定义的。在健康个体中,据报道痛哭可引起脑痛矩阵内的功能激活,这可能被解释为移情反应。在这项研究中,向6例VS患者,6例MCS患者和17例年龄匹配的健康对照者提出了痛哭声。常规的与任务相关的功能磁共振成像(fMRI)在VS和MCS组之间的功能激活方面无显着差异。与此否定的发现相反,一种新颖的数据驱动技术在分析大脑的全局功能连通性上的应用产生了积极的结果。与VS组相比,MCS组的加权全局连通性(WGC)显着更大(p <0.05,校正了家庭误​​差)。在二次连通性分析中,使用具有显着WGC差异的区域作为“种子区域”,可以发现MCS组和健康组的功能网络均已扩展,而VS组中未发现此类远程功能连接。这些结果表明功能连接性磁共振成像(fcMRI)作为意识障碍的鉴别诊断的临床工具的潜力。

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