Aperiodic Correction of Posterior Theta/Alpha Ratio Reduces Arousal-State Dependency in Routine EEG-Based Dementia Screening.

IF 1.7
Dokyung Lee
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Abstract

IntroductionPosterior theta/alpha ratio (TAR) is among the best-validated qEEG biomarkers for dementia, yet remains largely unused in routine neurology practice - primarily because it is sensitive to the patient's arousal state, an uncontrolled variable in real-world clinical EEG. We evaluated whether aperiodic spectral correction can bridge this gap between research promise and clinical reality.MethodsRoutine EEGs from 73 participants (18 controls, 55 dementia patients) were analyzed across three arousal segments. Five correction strategies were evaluated for TAR, with the optimal method validated in an external dementia dataset (ds004504, n = 88) and a normative cohort (ds005385, n = 587, age 20-79).ResultsRaw TAR was diagnostically significant at Alert (AUC=0.772) and HVT (AUC=0.812) segments but failed in the Drowsy segment (AUC=0.631, p = 0.110) - the state most representative of uncontrolled clinical EEG. FOOOF-based aperiodic correction restored significance (AUC=0.701, p = 0.014), improved intraclass correlation to 0.945, and generalised to the external dataset (AUC=0.830). In the normative cohort, FOOOF-corrected TAR was completely age-independent (r = 0.000), supporting a universal threshold of ≥0.45 (specificity 92.3%).ConclusionsA single step of aperiodic correction transforms TAR from an arousal-sensitive research metric into a robust, age-independent clinical tool. Combined with cognitive assessment, FOOOF-corrected TAR offers practical, objective dementia screening within routine EEG practice.

后θ / α比值的非周期性校正降低了常规脑电图痴呆筛查中的觉醒状态依赖性。
后验theta/alpha比值(TAR)是最有效的痴呆症qEEG生物标志物之一,但在常规神经病学实践中仍未被广泛使用,主要是因为它对患者的唤醒状态很敏感,这是现实世界临床EEG中一个不受控制的变量。我们评估了非周期光谱校正是否可以弥合研究前景和临床现实之间的差距。方法对73名参与者(18名对照,55名痴呆患者)的三个觉醒时段的常规脑电图进行分析。对TAR的五种校正策略进行了评估,并在外部痴呆数据集(ds004504, n = 88)和规范队列(ds005385, n = 587,年龄20-79)中验证了最佳方法。结果raw TAR在清醒期(AUC=0.772)和HVT期(AUC=0.812)具有显著的诊断意义,而在昏睡期(AUC=0.631, p = 0.110)无临床控制脑电图最具代表性。基于fooof的非周期校正恢复了显著性(AUC=0.701, p = 0.014),将类内相关性提高到0.945,并推广到外部数据集(AUC=0.830)。在规范队列中,经fooof校正的TAR完全与年龄无关(r = 0.000),支持≥0.45的通用阈值(特异性92.3%)。结论:非周期校正的一个步骤将TAR从唤醒敏感的研究指标转变为一个可靠的、与年龄无关的临床工具。结合认知评估,fooof校正的TAR在常规脑电图实践中提供实用、客观的痴呆症筛查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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