Features of residual brain activity in patients with chronic disorders of consciousness on resting-state functional MRI

Q3 Multidisciplinary
L. Legostaeva, E. Kremneva, D. Sinitsyn, E. Iazeva, D. Sergeev, A. Poydasheva, I. Bakulin, D. Lagoda, A. Sergeeva, Sofya N. Morozova, Y. Ryabinkina, M. Krotenkova, N. Suponeva, M. Piradov
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Abstract

Introduction. Rapid advances in critical care medicine have led to an increased survival rate of patients with severe brain damage and, consequently, to an increased prevalence of chronic disorders of consciousness (CDC). The lack of or fluctuations in signs of consciousness, which accompany the restoration of alertness after recovery from coma, indicate whether the type of CDC is a vegetative state or minimally conscious state. Correct diagnosis determines not only the rehabilitation outcome but also the economic outlook for a particular patient. However, the subjective nature of signs of consciousness, which are identified during clinical examination using neurological scales, is a common cause of diagnostic errors. The study of spontaneous activity using resting-state functional magnetic resonance imaging (fMRI) has helped to identify resting state networks. The default mode network (DMN) is one of the most studied brain networks. Its signal can change or be absent in patients with various types of CDC. Purpose. To study the signal of residual spontaneous brain activity in patients with CDC at rest. Materials and methods. Twenty-two patients with permanent CDC underwent resting state fMRI as an additional tool in the differential diagnosis between vegetative state and minimally conscious state at the Research Centre of Neurology. Results. It was found that the nature of the signal coming from anatomical regions that are part of the DMN changes when signs of consciousness emerge. Conclusion. These changes confirm that resting state fMRI is an important additional tool for differential diagnosis of CDC types. Accumulating knowledge about the brain's functional state helps us to expand our overall understanding of the nature of consciousness.
静息状态功能MRI对慢性意识障碍患者残脑活动特征的研究
介绍。重症监护医学的快速发展导致严重脑损伤患者的存活率增加,因此,慢性意识障碍(CDC)的患病率增加。从昏迷中恢复后,意识体征的缺乏或波动,伴随着警惕性的恢复,表明CDC的类型是植物人状态还是最低意识状态。正确的诊断不仅决定了康复的结果,也决定了一个特定病人的经济前景。然而,在临床检查中使用神经学量表识别的意识体征的主观性是导致诊断错误的常见原因。静息状态功能磁共振成像(fMRI)对自发活动的研究有助于识别静息状态网络。默认模式网络(DMN)是研究最多的脑网络之一。其信号在不同类型的CDC患者中可改变或不存在。目的。目的:研究静止状态下疾病控制中心(CDC)患者剩余自发性脑活动信号。材料和方法。在神经病学研究中心,22例永久性疾病控制中心患者接受了静息状态功能磁共振成像(fMRI),作为区分植物人状态和最低意识状态的额外工具。结果。研究发现,当意识信号出现时,来自DMN部分的解剖区域的信号的性质会发生变化。结论。这些变化证实静息状态fMRI是鉴别诊断CDC类型的重要附加工具。积累关于大脑功能状态的知识有助于我们扩展对意识本质的整体理解。
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来源期刊
Annals of Clinical and Experimental Neurology
Annals of Clinical and Experimental Neurology Medicine-Neurology (clinical)
CiteScore
0.80
自引率
0.00%
发文量
32
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