Jain Ritika, Ramakrishnan Angarai Ganesan
Medical Intelligence and Language Engineering Laboratory, Department of Electrical Engineering, Indian Institute of Science, Bengaluru, India.
Front Neurosci. 2020 Sep 15;14:555093. doi: 10.3389/fnins.2020.555093. eCollection 2020.
A severe brain injury may lead to a disorder of consciousness (DOC) such as coma, vegetative state (VS), minimally conscious state (MCS) or locked-in syndrome (LIS). Till date, the diagnosis of DOC relies only on clinical evaluation or subjective scoring systems such as Glasgow coma scale, which fails to detect subtle changes and thereby results in diagnostic errors. The high rate of misdiagnosis and inability to predict the recovery of consciousness for DOC patients have created a huge research interest in the assessment of consciousness. Researchers have explored the use of various stimulation and neuroimaging techniques to improve the diagnosis. In this article, we present the important findings of resting-state as well as sensory stimulation methods and highlight the stimuli proven to be successful in the assessment of consciousness. Primarily, we review the literature based on (a) application/non-use of stimuli (i.e., sensory stimulation/resting state-based), (b) type of stimulation used (i.e., auditory, visual, tactile, olfactory, or mental-imagery), (c) electrophysiological signal used (EEG/ERP, fMRI, PET, EMG, SCL, or ECG). Among the sensory stimulation methods, auditory stimulation has been extensively used, since it is easier to conduct for these patients. Olfactory and tactile stimulation have been less explored and need further research. Emotionally charged stimuli such as subject's own name or narratives in a familiar voice or subject's own face/family pictures or music result in stronger responses than neutral stimuli. Studies based on resting state analysis have employed measures like complexity, power spectral features, entropy and functional connectivity patterns to distinguish between the VS and MCS patients. Resting-state EEG and fMRI are the state-of-the-art techniques and have a huge potential in predicting the recovery of coma patients. Further, EMG and mental-imagery based studies attempt to obtain volitional responses from the VS patients and thus could detect their command-following capability. This may provide an effective means to communicate with these patients. Recent studies have employed fMRI and PET to understand the brain-activation patterns corresponding to the mental imagery. This review promotes our knowledge about the techniques used for the diagnosis of patients with DOC and attempts to provide ideas for future research.
严重脑损伤可能导致意识障碍(DOC),如昏迷、植物状态(VS)、微意识状态(MCS)或闭锁综合征(LIS)。迄今为止,DOC的诊断仅依赖于临床评估或主观评分系统,如格拉斯哥昏迷量表,该量表无法检测到细微变化,从而导致诊断错误。DOC患者的高误诊率以及无法预测意识恢复情况,引发了人们对意识评估的浓厚研究兴趣。研究人员探索了使用各种刺激和神经成像技术来改善诊断。在本文中,我们介绍了静息状态以及感觉刺激方法的重要发现,并强调了在意识评估中被证明成功的刺激。首先,我们基于以下方面回顾文献:(a)是否使用刺激(即基于感觉刺激/静息状态)、(b)使用的刺激类型(即听觉、视觉、触觉、嗅觉或心理意象)、(c)使用的电生理信号(脑电图/事件相关电位、功能磁共振成像、正电子发射断层扫描、肌电图、皮肤电反应或心电图)。在感觉刺激方法中,听觉刺激已被广泛使用,因为对这些患者来说更容易实施。嗅觉和触觉刺激的研究较少,需要进一步研究。诸如受试者自己的名字、熟悉声音的叙述、受试者自己的脸/家庭照片或音乐等带有情感色彩的刺激,比中性刺激能引发更强的反应。基于静息状态分析的研究采用了复杂性、功率谱特征、熵和功能连接模式等测量方法来区分VS和MCS患者。静息状态脑电图和功能磁共振成像是最先进的技术,在预测昏迷患者的恢复方面具有巨大潜力。此外,基于肌电图和心理意象的研究试图从VS患者那里获得意志反应,从而检测他们的听从指令能力。这可能提供一种与这些患者沟通的有效手段。最近的研究使用功能磁共振成像和正电子发射断层扫描来了解与心理意象相对应的脑激活模式。这篇综述增进了我们对用于DOC患者诊断技术的了解,并试图为未来研究提供思路。