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发作性睡病中的神经瞳孔噪声

Neurological pupillary noise in narcolepsy.

作者信息

O'Neill W D, Oroujeh A M, Keegan A P, Merritt S L

机构信息

Department of Electrical Engineering and Computer Science, University of Illinois at Chicago 60607-7053, USA.

出版信息

J Sleep Res. 1996 Dec;5(4):265-71. doi: 10.1111/j.1365-2869.1996.00265.x.

Abstract

Pupillometry has a long but inconclusive history as a means of measuring human alertness. Spontaneous pupillary oscillations in narcoleptics and the sleep deprived are a recognized but quantitatively elusive indication of alertness. Stimulation of the pupillary light reflex (PLR) has provided contradictory or confusion indications of alertness levels. Results from 10 diagnosed narcoleptics and 10 control subjects in which the PLR system was stimulated and a reliable (90%) discriminator derived for classifying narcoleptics and controls was reported. Random pupillary oscillations, which is called pupillary noise to distinguish these oscillations from spontaneous ones, were estimated from continuous pupil diameter recordings using a recursive least squares method applied to a subject-specific PLR system model. Pupillary noise sum of squares indicate that narcoleptics have significantly (P < 0.005) less PLR noise than controls. This difference was attributed to supranuclear inhibition of randomly active Edinger-Westphal neurons long hypothesized to be the source of random pupillary oscillations. This inhibition also has been suggested as a cause of PLR sensitivity to nocturnal sleep quality so it may be that these findings apply to the sleep deprived and not just specifically to narcoleptics.

摘要

作为一种测量人类警觉性的方法,瞳孔测量法有着悠久但尚无定论的历史。发作性睡病患者和睡眠剥夺者的自发瞳孔振荡是一种公认的但在数量上难以捉摸的警觉性指标。瞳孔光反射(PLR)的刺激提供了关于警觉性水平的相互矛盾或令人困惑的指标。报告了对10名已确诊的发作性睡病患者和10名对照受试者进行PLR系统刺激的结果,并得出了一个可靠的(90%)用于区分发作性睡病患者和对照者的判别指标。通过将递归最小二乘法应用于特定受试者的PLR系统模型,从连续的瞳孔直径记录中估计出随机瞳孔振荡,为了将这些振荡与自发振荡区分开来,将其称为瞳孔噪声。瞳孔噪声平方和表明,发作性睡病患者的PLR噪声明显(P < 0.005)低于对照者。这种差异归因于长期以来被认为是随机瞳孔振荡来源的埃丁格 - 韦斯特法尔神经元随机活动的核上抑制。这种抑制也被认为是PLR对夜间睡眠质量敏感的原因,所以可能这些发现不仅适用于发作性睡病患者,也适用于睡眠剥夺者。

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