Defining abnormal slow EEG activity in acute ischaemic stroke: Delta/alpha ratio as an optimal QEEG index
Defining abnormal slow EEG activity in acute ischaemic stroke: Delta/alpha ratio as an optimal QEEG index
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DOI：
10.1016/j.clinph.2015.07.014
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发表时间：
2016-02-01
影响因子：
4.7
通讯作者：
Read, Stephen
中科院分区：
文献类型：
--
作者：
Finnigan, Simon;Wong, Andrew;Read, Stephen
目标：定量脑电图（QEEG）指标对异常慢（相对于快）活动功率敏感，似乎是缺血性卒中（IS）临床管理的唯一信息，包括急性再灌注治疗。然而，尚未在IS和对照样品之间进行比较。主要目的是确定QEEG减慢指数和阈值，可以最准确地区分IS患者和controls.Methods：样本包括28个对照组（平均年龄：70.4;范围：56-84）和18例患者（平均年龄：69.3;范围：51-86）。分析了七个指标：相对频带功率（δ，θ，α，β），δ/α功率比（DAR），（δ + θ）/（α + β）比（DTABR）和Q（SLOWING）。使用受试者工作特征（ROC）techniques.Results：所有指标在样本之间差异显著（p < .001），对参与者（IS或对照）进行分类的每个指标的准确性进行了分析。单独的DAR表现出最佳的分类器准确性，阈值为3.7，表明100%的灵敏度和100%的特异性，用于区分放射学证实的急性IS或对照。DTABR和相对三角洲是下一个最准确的classifiers.Conclusions：DAR的3.7表现出最大的准确性分类所有46名参与者为急性IS或control.Significance：DAR评估可能会通知IS的临床管理，也许其他神经重症患者。(C)2015年国际临床神经生理学联合会。由Elsevier爱尔兰有限公司出版。保留所有权利。
Objective: Quantitative electroencephalographic (QEEG) indices sensitive to abnormal slow (relative to faster) activity power seem uniquely informative for clinical management of ischaemic stroke (IS), including around acute reperfusion therapies. However these have not been compared between IS and control samples. The primary objective was to identify the QEEG slowing index and threshold value which can most accurately discriminate between IS patients and controls.Methods: The samples comprised 28 controls (mean age: 70.4; range: 56-84) and 18 patients (mean age: 69.3; range: 51-86). Seven indices were analysed: relative bandpower (delta, theta, alpha, beta), delta/alpha power ratio (DAR), (delta + theta)/(alpha + beta) ratio (DTABR) and Q(SLOWING). The accuracies of each index for classifying participants (IS or control) were analysed using receiver operating characteristic (ROC) techniques.Results: All indices differed significantly between the samples (p < .001). DAR alone exhibited optimal classifier accuracy, with a threshold of 3.7 demonstrating 100% sensitivity and 100% specificity for discriminating between radiologically-confirmed, acute IS or control. DTABR and relative delta were the next most accurate classifiers.Conclusions: DAR of 3.7 demonstrated maximal accuracy for classifying all 46 participants as acute IS or control.Significance: DAR assessment may inform clinical management of IS and perhaps other neurocritical patients. (C) 2015 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.