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与阿尔茨海默病和额颞叶痴呆相关的脑电图特征并未在麻醉监测中使用的处理指标中体现出来。

EEG features associated with Alzheimer's disease and Frontotemporal dementia are not reflected by processed indices used in anesthesia monitoring.

作者信息

Schwerin Stefan, Dragovic Srdjan Z, Ostertag Julian, Nguyen Duy-Minh, Schneider Gerhard, Kreuzer Matthias

机构信息

Department of Anesthesiology and Intensive Care, TUM School of Medicine and Health, Technical University of Munich, Ismaningerstr 22, 81675, Munich, Germany.

Master of Science in Molecular and Translational Neuroscience, Ulm University, Helmholtzstraße 16, 89081, Ulm, Germany.

出版信息

J Clin Monit Comput. 2025 Apr 21. doi: 10.1007/s10877-025-01294-y.

Abstract

Patients with dementia face increased risks after general anesthesia. Improved perioperative electroencephalogram (EEG) monitoring techniques could aid in identifying vulnerable patients. However, current technology relies on processed indices to measure "depth-of-anesthesia". Analyzing OpenNeuro Dataset ds004504, we compared resting-state, eyes-closed EEG recordings of healthy controls (n = 27) with patients diagnosed with Alzheimer's disease (AD, n = 35) and Frontotemporal dementia (FTD, n = 23). We focused on prefrontal recordings. Analysis included spectral analysis, the "fitting-oscillations&-one-over-f"-algorithm for aperiodic and periodic signal features, as well as calculations of openibis, permutation entropy (PeEn), spectral entropy (SpEn), and spectral edge frequency (SEF). Spectral differences were pronounced, including a higher alpha/theta-ratio of controls (2.62 [95%CI: 1.54-3.62]) compared to both AD (0.55 [95%CI: 0.26-1.92], P < 0.001, AUC: 0.765 [0.642-0.888]) and FTD (0.83 [95%CI: 0.33-1.65], P = 0.007, AUC: 0.779 [0.652-0.907]). Oscillatory peak detection within the alpha frequency band was more robust in control (versus AD: P = 0.003, Cramér's V = 0.374; versus FTD: P = 0.003, Cramér's V = 0.414). Processed index parameters did not show a clear trend. FTD was associated with a higher prefrontal openibis (95.53 [95%CI: 93.43-97.39]) than control (91.98 [95%CI: 89.46-96.27], P = 0.033, AUC: 0.717 [0.572-0.862]) and an elevated SEF (23.68 [95%CI: 14.10-25.57] Hz) compared to AD (16.60 [95%CI: 14.22-22.22] Hz, P = 0.041, AUC: 0.676 [0.532-0.821]). AD and FTD are associated with EEG baseline abnormalities, and a standard prefrontal montage, as used intraoperatively, could present a promising technical screening approach for cognitive vulnerability. However, these EEG features are obscured by processed index parameters currently used in neuroanesthesia monitoring. OpenNeuro Dataset ds004504 "A dataset of EEG recordings from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects" (doi: https://doi.org/10.18112/openneuro.ds004504.v1.0.7 ).

摘要

痴呆症患者在全身麻醉后面临更高的风险。改进的围手术期脑电图(EEG)监测技术有助于识别易受伤害的患者。然而,目前的技术依赖于经过处理的指标来测量“麻醉深度”。通过分析OpenNeuro数据集ds004504,我们将健康对照组(n = 27)、被诊断为阿尔茨海默病(AD,n = 35)和额颞叶痴呆(FTD,n = 23)患者的静息状态闭眼EEG记录进行了比较。我们重点关注前额叶记录。分析包括频谱分析、用于非周期性和周期性信号特征的“拟合振荡与1/f”算法,以及openibis、排列熵(PeEn)、频谱熵(SpEn)和频谱边缘频率(SEF)的计算。频谱差异显著,与AD(0.55 [95%CI:0.26 - 1.92],P < 0.001,AUC:0.765 [0.642 - 0.888])和FTD(0.83 [95%CI:0.33 - 1.65],P = 0.007,AUC:0.779 [0.652 - 0.907])相比,对照组的α/θ比值更高(2.62 [95%CI:1.54 - 3.62])。在α频段内的振荡峰值检测在对照组中更稳健(与AD相比:P = 0.003;Cramér's V = 0.374;与FTD相比:P = 0.003,Cramér's V = 0.414)。经过处理的指标参数没有显示出明显的趋势。FTD与比对照组更高的前额叶openibis(95.53 [95%CI:93.43 - 97.39])相关(对照组为91.98 [95%CI:89.46 - 96.27],P = 0.033;AUC:0.717 [0.572 - 0.862]),并且与AD相比SEF升高(23.68 [95%CI:14.10 - 25.57] Hz)(AD为16.60 [95%CI:14.22 - 22.22] Hz,P = 0.041;AUC:0.676 [0.532 -

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