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优化 delta 功率夜间下降的计算:失眠患者 delta 功率下降速度较慢的证据。

Optimizing computation of overnight decline in delta power: Evidence for slower rate of decline in delta power in insomnia patients.

机构信息

Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, 2608 Erwin Road Suite 300, Durham, NC 27710, USA.

Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, 2608 Erwin Road Suite 300, Durham, NC 27710, USA; Department of Medicine, National Jewish Health, 1400 Jackson St, Denver, CO 80206, USA.

出版信息

Clin Neurophysiol. 2021 Feb;132(2):545-553. doi: 10.1016/j.clinph.2020.12.004. Epub 2020 Dec 19.

DOI:10.1016/j.clinph.2020.12.004
PMID:33450577
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7891187/
Abstract

OBJECTIVE

To determine the best of commonly used methods for computing the rate of decline in non-rapid eye movement (NREM) sleep EEG delta power overnight (Delta Decline) in terms of vulnerability to missing data and to evaluate whether this rate is slower in insomnia patients than healthy controls (HC).

METHODS

Fifty-one insomnia patients and 53 HC underwent 6 nights of polysomnography. Four methods for estimating Delta Decline were compared (exponential and linear best-fit functions using NREM (1) episode mean, (2) peak, and (3) total delta power and (4) delta power for all available NREM epochs). The best method was applied to compare groups on linear and exponential rates of Delta Decline.

RESULTS

Best-fit models using all available NREM epochs were significantly less vulnerable to deviation due to missing data than other methods. Insomnia patients displayed significantly slower linear and exponential Delta Decline than HC.

CONCLUSIONS

Computing Delta Decline using all available NREM epochs was the best of the methods studied for minimizing the effects of missing data. Insomnia patients display slower Delta Decline, which is not explained by differences in total sleep time or wake after sleep onset.

SIGNIFICANCE

This study supports using all available NREM epochs in Delta Decline computation and suggests a slower rate in insomnia.

摘要

目的

确定在非快速眼动(NREM)睡眠 EEG 德尔塔功率(Delta 衰减)夜间(Delta 衰减)计算中,常用方法中最不易受缺失数据影响的方法,并评估该速率在失眠患者中是否慢于健康对照组(HC)。

方法

51 例失眠患者和 53 例 HC 接受了 6 晚多导睡眠图检查。比较了 4 种估计 Delta 衰减的方法(使用 NREM(1)发作平均值、(2)峰值和(3)总 delta 功率以及(4)所有可用 NREM 节段的 delta 功率的指数和线性最佳拟合函数)。将最佳方法应用于比较组的线性和指数 Delta 衰减率。

结果

使用所有可用的 NREM 节段的最佳拟合模型明显不易因缺失数据而偏离。失眠患者的线性和指数 Delta 衰减明显慢于 HC。

结论

使用所有可用的 NREM 节段计算 Delta 衰减是研究中最小化缺失数据影响的最佳方法。失眠患者的 Delta 衰减速度较慢,这不能用总睡眠时间或睡眠后觉醒时间的差异来解释。

意义

本研究支持在 Delta 衰减计算中使用所有可用的 NREM 节段,并提示失眠患者的衰减速度较慢。

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