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意识障碍患者大脑中的代谢与复杂性测量

Measures of metabolism and complexity in the brain of patients with disorders of consciousness.

作者信息

Bodart Olivier, Gosseries Olivia, Wannez Sarah, Thibaut Aurore, Annen Jitka, Boly Melanie, Rosanova Mario, Casali Adenauer G, Casarotto Silvia, Tononi Giulio, Massimini Marcello, Laureys Steven

机构信息

Giga-Consciousness, Coma Science Group, and Neurology Department, University and University Hospital of Liege, Belgium.

Giga-Consciousness, Coma Science Group, and Neurology Department, University and University Hospital of Liege, Belgium; Department of Psychiatry, University of Wisconsin, Madison, WI, USA.

出版信息

Neuroimage Clin. 2017 Feb 6;14:354-362. doi: 10.1016/j.nicl.2017.02.002. eCollection 2017.

Abstract

BACKGROUND

Making an accurate diagnosis in patients with disorders of consciousness remains challenging. F-fluorodeoxyglucose (FDG)-PET has been validated as a diagnostic tool in this population, and allows identifying unresponsive patients with a capacity for consciousness. In parallel, the perturbational complexity index (PCI), a new measure based on the analysis of the electroencephalographic response to transcranial magnetic stimulation, has also been suggested as a tool to distinguish between unconscious and conscious states. The aim of the study was to cross-validate FDG-PET and PCI, and to identify signs of consciousness in otherwise unresponsive patients.

METHODS

We jointly applied the Coma Recovery Scale-Revised, FDG-PET and PCI to assess 24 patients with non-acute disorders of consciousness or locked-in syndrome (13 male; 19-54 years old; 12 traumatic; 9 unresponsive wakefulness syndrome, 11 minimally conscious state; 2 emergence from the minimally conscious state, and 2 locked-in syndrome).

RESULTS

FDG-PET and PCI provided congruent results in 22 patients, regardless of their behavioural diagnosis. Notably, FDG-PET and PCI revealed preserved metabolic rates and high complexity levels in four patients who were behaviourally unresponsive.

CONCLUSION

We propose that jointly measuring the metabolic activity and the electrophysiological complexity of cortical circuits is a useful complement to the diagnosis and stratification of patients with disorders of consciousness.

摘要

背景

对意识障碍患者进行准确诊断仍然具有挑战性。氟脱氧葡萄糖(FDG)-正电子发射断层扫描(PET)已被验证为该人群的诊断工具,可用于识别有意识能力的无反应患者。同时,微扰复杂性指数(PCI),一种基于对经颅磁刺激脑电图反应分析的新测量方法,也被建议作为区分无意识和有意识状态的工具。本研究的目的是对FDG-PET和PCI进行交叉验证,并识别其他方面无反应患者的意识迹象。

方法

我们联合应用修订版昏迷恢复量表、FDG-PET和PCI对24例非急性意识障碍或闭锁综合征患者进行评估(13例男性;年龄19-54岁;12例创伤性;9例无反应觉醒综合征,11例最低意识状态;2例从最低意识状态苏醒,2例闭锁综合征)。

结果

无论行为诊断如何,FDG-PET和PCI在22例患者中得出了一致的结果。值得注意的是,FDG-PET和PCI显示,4例行为无反应患者的代谢率和复杂性水平保持正常。

结论

我们建议,联合测量皮质回路的代谢活动和电生理复杂性,对意识障碍患者的诊断和分层是一种有用的补充。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06f3/5318348/dc80ed6c66b5/gr1.jpg

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