Early EEG Alterations Correlate with CTP Hypoperfused Volumes and Neurological Deficit: A Wireless EEG Study in Hyper-Acute Ischemic Stroke.
Early EEG Alterations Correlate with CTP Hypoperfused Volumes and Neurological Deficit: A Wireless EEG Study in Hyper-Acute Ischemic Stroke.
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早期脑电图改变与CT灌注成像低灌注体积和神经功能缺损相关：一项超急性缺血性脑卒中的无线脑电图研究
DOI：
10.1007/s10439-021-02735-w
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发表时间：
2021-09
影响因子：
3.8
通讯作者：
Manganotti P
中科院分区：
文献类型：
--
作者：
Ajčević M;Furlanis G;Miladinović A;Buoite Stella A;Caruso P;Ukmar M;Cova MA;Naccarato M;Accardo A;Manganotti P
急性缺血性脑卒中的脑电活动与脑组织低灌注有关，这是神经血管耦合的表现。脑电图可用于急诊床边功能监测。我们旨在研究通过床边无线脑电图测量的超急性缺血性脑卒中脑电图变化与低灌注核心 - 半暗带CT灌注（CTP）体积之间的关系。此外，我们还研究了脑电图和CTP参数与美国国立卫生研究院卒中量表（NIHSS）所测神经功能缺损之间的关联。我们分析和处理了31例在症状发作4.5小时内登记的前循环急性缺血性脑卒中患者的脑电图、CTP和临床数据。德尔塔/阿尔法比值（DAR）、（德尔塔 + 西塔）/（阿尔法 + 贝塔）比值（DTABR）以及相对德尔塔功率与总低灌注体积直接相关（ρ分别为0.72、0.63、0.65），而阿尔法与总低灌注体积呈负相关（ρ = -0.66）。DAR、DTBAR以及相对德尔塔和阿尔法参数也与缺血核心体积相关（ρ分别为0.55、0.50、0.59、-0.51）。相同的脑电图参数和CTP体积与入院时的NIHSS显著相关。多元逐步回归分析显示，DAR是入院时NIHSS的最强预测因子（p < 0.001）。这项研究的结果表明，脑电图参数的超急性改变与低灌注组织的范围高度相关，突显了定量脑电图作为评估卒中严重程度的一种可能的辅助工具的价值及其在急性缺血性脑卒中监测中的潜在作用。
Brain electrical activity in acute ischemic stroke is related to the hypoperfusion of cerebral tissue as manifestation of neurovascular coupling. EEG could be applicable for bedside functional monitoring in emergency settings. We aimed to investigate the relation between hyper-acute ischemic stroke EEG changes, measured with bedside wireless-EEG, and hypoperfused core-penumbra CT-perfusion (CTP) volumes. In addition, we investigated the association of EEG and CTP parameters with neurological deficit measured by NIHSS. We analyzed and processed EEG, CTP and clinical data of 31 anterior acute ischemic stroke patients registered within 4.5 h from symptom onset. Delta/alpha ratio (DAR), (delta + theta)/(alpha + beta) ratio (DTABR) and relative delta power correlated directly (ρ = 0.72; 0.63; 0.65, respectively), while alpha correlated inversely (ρ = − 0.66) with total hypoperfused volume. DAR, DTBAR and relative delta and alpha parameters also correlated with ischemic core volume (ρ = 0.55; 0.50; 0.59; − 0.51, respectively). The same EEG parameters and CTP volumes showed significant relation with NIHSS at admission. The multivariate stepwise regression showed that DAR was the strongest predictor of NIHSS at admission (p < 0.001). The results of this study showed that hyper-acute alterations of EEG parameters are highly related to the extent of hypoperfused tissue highlighting the value of quantitative EEG as a possible complementary tool in the evaluation of stroke severity and its potential role in acute ischemic stroke monitoring.
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