光作为非成像脑功能的调制器——增加光可用性的正面和负面影响。

IF 2.1 Q3 CLINICAL NEUROLOGY
Islay Campbell, Roya Sharifpour, Gilles Vandewalle
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引用次数: 4

摘要

光的使用量急剧上升,主要是因为发光二极管(LED)器件的出现。led通常是富含蓝色的光源,可能对非成像(NIF)系统产生不同的影响,该系统对蓝色波长光最敏感。最重要的是,LED器件使用的时间是广泛的,导致NIF系统上新的光暴露模式。这篇叙述性综述的目的是讨论我们认为在试图预测这种情况将如何影响光对大脑功能的NIF影响时应该考虑的多个方面。我们首先介绍大脑的图像形成和NIF通路。然后,我们详细介绍了我们目前对光对人类认知、睡眠、警觉性和情绪的影响的理解。最后,我们讨论了有关采用LED照明和屏幕的问题,这为改善健康提供了新的机会,但也引起了人们对增加光照的担忧,这可能对健康有害,特别是在晚上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Light as a Modulator of Non-Image-Forming Brain Functions-Positive and Negative Impacts of Increasing Light Availability.

Light as a Modulator of Non-Image-Forming Brain Functions-Positive and Negative Impacts of Increasing Light Availability.

Light as a Modulator of Non-Image-Forming Brain Functions-Positive and Negative Impacts of Increasing Light Availability.

Light as a Modulator of Non-Image-Forming Brain Functions-Positive and Negative Impacts of Increasing Light Availability.

Light use is rising steeply, mainly because of the advent of light-emitting diode (LED) devices. LEDs are frequently blue-enriched light sources and may have different impacts on the non-image forming (NIF) system, which is maximally sensitive to blue-wavelength light. Most importantly, the timing of LED device use is widespread, leading to novel light exposure patterns on the NIF system. The goal of this narrative review is to discuss the multiple aspects that we think should be accounted for when attempting to predict how this situation will affect the NIF impact of light on brain functions. We first cover both the image-forming and NIF pathways of the brain. We then detail our current understanding of the impact of light on human cognition, sleep, alertness, and mood. Finally, we discuss questions concerning the adoption of LED lighting and screens, which offer new opportunities to improve well-being, but also raise concerns about increasing light exposure, which may be detrimental to health, particularly in the evening.

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来源期刊
Clocks & Sleep
Clocks & Sleep Multiple-
CiteScore
4.40
自引率
0.00%
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0
审稿时长
7 weeks
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