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Predisposition for delirium and EEG characteristics
Clinical Neurophysiology ( IF 3.7 ) Pub Date : 2020-05-01 , DOI: 10.1016/j.clinph.2020.01.023
S.J.T. van Montfort , E. van Dellen , L.L. Wattel , I.M.J. Kant , T. Numan , C.J. Stam , A.J.C. Slooter

OBJECTIVE Delirium is associated with increased electroencephalography (EEG) delta activity, decreased connectivity strength and decreased network integration. To improve our understanding of development of delirium, we studied whether non-delirious individuals with a predisposition for delirium also show these EEG abnormalities. METHODS Elderly subjects (N = 206) underwent resting-state EEG measurements and were assessed on predisposing delirium risk factors, i.e. older age, alcohol misuse, cognitive impairment, depression, functional impairment, history of stroke and physical status. Delirium-related EEG characteristics of interest were relative delta power, alpha connectivity strength (phase lag index) and network integration (minimum spanning tree leaf fraction). Linear regression analyses were used to investigate the relation between predisposing delirium risk factors and EEG characteristics that are associated with delirium, adjusting for confounding and multiple testing. RESULTS Functional impairment was related to a decrease in connectivity strength (adjusted R2 = 0.071, β = 0.201, p < 0.05). None of the other risk factors had significant influence on EEG delta power, connectivity strength or network integration. CONCLUSIONS Functional impairment seems to be associated with decreased alpha connectivity strength. Other predisposing risk factors for delirium had no effect on the studied EEG characteristics. SIGNIFICANCE Predisposition for delirium is not consistently related to EEG characteristics that can be found during delirium.

中文翻译:

谵妄的易感性和脑电图特征

目的 谵妄与脑电图 (EEG) delta 活动增加、连接强度降低和网络整合降低有关。为了提高我们对谵妄发展的理解,我们研究了具有谵妄倾向的非谵妄个体是否也表现出这些脑电图异常。方法 老年受试者(N = 206)接受静息态脑电图测量,并评估易感谵妄危险因素,即年龄较大、酒精滥用、认知障碍、抑郁、功能障碍、中风史和身体状况。感兴趣的谵妄相关脑电图特征是相对 delta 功率、alpha 连接强度(相位滞后指数)和网络集成(最小生成树叶分数)。使用线性回归分析研究易感谵妄危险因素与谵妄相关脑电图特征之间的关系,调整混杂和多重测试。结果 功能障碍与连接强度降低有关(调整后的 R2 = 0.071,β = 0.201,p < 0.05)。其他风险因素均未对 EEG delta 功率、连接强度或网络集成产生显着影响。结论 功能障碍似乎与 alpha 连接强度降低有关。谵妄的其他易感危险因素对所研究的脑电图特征没有影响。意义 谵妄的易感性与谵妄期间发现的 EEG 特征并不总是相关。
更新日期:2020-05-01
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