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代偿性追踪任务在客观鉴别抑郁症中的过度嗜睡方面的效用:一项高密度脑电图研究

Utility of the Compensatory Tracking Task for Objective Differentiation of Hypersomnolence in Depression: A High-Density EEG Investigation.

作者信息

Forscher Emily C, Prairie Michael L, Cook Jesse D, Notermann Sydney L, Plante David T

机构信息

University of Wisconsin-Madison School of Medicine and Public Health, Department of Psychiatry, Madison, WI.

Department of Psychology, University of Wisconsin-Madison, Madison, WI.

出版信息

Sleep Vigil. 2019;3(1):49-56. doi: 10.1007/s41782-019-00062-8. Epub 2019 May 15.

DOI:10.1007/s41782-019-00062-8
PMID:32864560
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7453740/
Abstract

Hypersomnolence is a common and debilitating symptom in mood disorders. However, objective differentiation of excessive daytime sleepiness (EDS) from non-EDS in depression has not yet been achieved. This study compared performance on the Compensatory Tracking Task (CTT) and concurrently-recorded high-density (hd)EEG theta power in 22 patients with major depressive disorder (MDD) and co-occurring EDS against 22 age- and sex-matched patients with MDD but no EDS, as well as 22 age- and sex-matched healthy controls. Though depressed hypersomnolent participants endorsed feeling sleepier than depressed non-hypersomnolent and healthy control participants prior to starting the CTT, no group differences in CTT performance were observed. Average hdEEG theta power was higher during periods of high error on the CTT compared to periods of low error, but did not differ between the groups. Though the CTT still holds promise as an objective neurobehavioral measure, these results do not indicate a capability to differentiate EDS from non-EDS in mood disorders.

摘要

过度嗜睡是情绪障碍中一种常见且使人衰弱的症状。然而,目前尚未实现对抑郁症中白天过度嗜睡(EDS)与非EDS进行客观区分。本研究比较了22例伴有EDS的重度抑郁症(MDD)患者与22例年龄和性别匹配但无EDS的MDD患者以及22例年龄和性别匹配的健康对照者在代偿追踪任务(CTT)中的表现以及同时记录的高密度(hd)脑电图θ波功率。尽管在开始CTT之前,伴有过度嗜睡的抑郁参与者表示比不伴有过度嗜睡的抑郁参与者和健康对照参与者感觉更困倦,但未观察到CTT表现存在组间差异。与低错误期相比,CTT高错误期的平均hd脑电图θ波功率更高,但组间无差异。尽管CTT作为一种客观的神经行为测量方法仍有前景,但这些结果并未表明其有能力区分情绪障碍中的EDS与非EDS。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3842/7453740/b8427783f12c/nihms-1529362-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3842/7453740/d44b3429fb47/nihms-1529362-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3842/7453740/b8427783f12c/nihms-1529362-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3842/7453740/d44b3429fb47/nihms-1529362-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3842/7453740/b8427783f12c/nihms-1529362-f0002.jpg

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本文引用的文献

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Sleep. 2019 Jun 11;42(6). doi: 10.1093/sleep/zsz060.
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Characterizing Sleepiness: Are We Drawing the Right Line in the Sand?界定嗜睡:我们划对界限了吗?
J Clin Sleep Med. 2017 Dec 15;13(12):1369-1370. doi: 10.5664/jcsm.6824.
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Test-Retest Reliability of the Multiple Sleep Latency Test in Central Disorders of Hypersomnolence.多发性睡眠潜伏期试验在中枢性嗜睡障碍中的重测信度。
Sleep. 2017 Dec 1;40(12). doi: 10.1093/sleep/zsx164.
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Subjective and Objective Measures of Hypersomnolence Demonstrate Divergent Associations with Depression among Participants in the Wisconsin Sleep Cohort Study.在威斯康星睡眠队列研究的参与者中,嗜睡的主观和客观测量结果显示与抑郁存在不同的关联。
J Clin Sleep Med. 2016 Apr 15;12(4):571-8. doi: 10.5664/jcsm.5694.
5
Sleep propensity in psychiatric hypersomnolence: A systematic review and meta-analysis of multiple sleep latency test findings.精神科过度嗜睡的睡眠倾向:对多次睡眠潜伏期测试结果的系统评价和荟萃分析。
Sleep Med Rev. 2017 Feb;31:48-57. doi: 10.1016/j.smrv.2016.01.004. Epub 2016 Jan 14.
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Sleepiness and performance is disproportionate in patients with non-organic hypersomnia in comparison to patients with narcolepsy and mild to moderate obstructive sleep apnoea.与发作性睡病患者以及轻至中度阻塞性睡眠呼吸暂停患者相比,非器质性 hypersomnia 患者的嗜睡与表现不成比例。 注:原文中“hypersomnia”可能是“发作性睡病”或“特发性嗜睡症”等,因未明确全称,这里保留英文。
Neuropsychobiology. 2014;70(3):189-94. doi: 10.1159/000365486. Epub 2014 Nov 4.
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Psychomotor vigilance task demonstrates impaired vigilance in disorders with excessive daytime sleepiness.精神运动警觉任务表明,在白天过度嗜睡的疾病中警觉性受损。
J Clin Sleep Med. 2014 Sep 15;10(9):1019-24. doi: 10.5664/jcsm.4042.
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J Affect Disord. 2014;167:93-7. doi: 10.1016/j.jad.2014.05.060. Epub 2014 Jun 6.
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10
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Sleep. 2014 Jan 1;37(1):27-39. doi: 10.5665/sleep.3302.