The role of etiology in the identification of clinical markers of consciousness: comparing EEG alpha power, complexity, and spectral exponent

Charlotte Maschke, Laouen Belloli, Dragana Manasova, Jacobo D. Sitt, Stefanie Blain-Moraes
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Abstract

In the search for EEG markers of human consciousness, alpha power has long been considered a reliable marker which is fundamental for the assessment of unresponsive patients from all etiologies. However, recent evidence questioned the role of alpha power as a marker of consciousness and proposed the spectral exponent and spatial gradient as more robust and generalizable indexes. In this study, we analyzed a large-scale dataset of 260 unresponsive patients and investigated etiology-specific markers of level of consciousness, responsiveness and capacity to recover. We compare a set of candidate EEG makers: 1) absolute, relative and flattened alpha power; 2) spatial ratios; 3) the spectral exponent; and 4) signal complexity. Our results support the claim that alpha power is an etiology-specific marker, which has higher diagnostic value for anoxic patients. Meanwhile, the spectral slope showed diagnostic value for non-anoxic patients only. Changes in relative power and signal complexity were largely attributable to changes in the spectral slope. Grouping unresponsive patients from different etiologies together can confound or obscure the diagnostic value of different EEG markers of consciousness. Our study highlights the importance of analyzing different etiologies independently and emphasizes the need to develop clinical markers which better account for inter-individual and etiology-dependent differences.
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病因在识别意识临床标记中的作用:比较脑电图阿尔法功率、复杂性和频谱指数
在寻找人类意识的脑电图标记时,α 功率一直被认为是一种可靠的标记,是评估各种病因引起的无反应患者的基础。然而,最近的证据对阿尔法功率作为意识标记的作用提出了质疑,并提出了频谱指数和空间梯度作为更稳健、更具普遍性的指标。在本研究中,我们分析了 260 名无反应患者的大规模数据集,并研究了意识水平、反应能力和恢复能力的病因特异性标记。我们对一组候选脑电图制造商进行了比较:1)绝对、相对和扁平化阿尔法功率;2)空间比率;3)频谱指数;4)信号复杂性。我们的结果支持α功率是病因特异性标志物的说法,它对缺氧患者具有更高的诊断价值。同时,频谱斜率只对非缺氧患者有诊断价值。相对功率和信号复杂性的变化主要归因于频谱斜率的变化。将不同病因的无反应患者归为一类可能会混淆或掩盖不同意识脑电图标记的诊断价值。我们的研究强调了对不同病因进行独立分析的重要性,并强调有必要开发能更好地解释个体间差异和病因依赖性差异的临床标记物。
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