Introduction

The most common and multifaceted migraine aura symptoms are visual disturbances. Health information is one of the most popular topics on the internet but the quality and reliability of publicized information is unknown. The aim of this study was to analyze images of migraine aura on Google to determine the frequency of correct presentations of visual aura and distribution of visual aura phenotypes.

Methods

Two authors screened the 100 highest indexed migraine aura related images on Google. The content of the images was categorized into elementary visual symptoms.

Results

Forty out of 100 images were accurate representations of visual migraine aura. Such images included 31 different visual aura phenotypes. The majority had more than one elementary visual symptom (median 2, IQR 1–3), most commonly “bean-like” forms (45%), zigzag lines (40%), and foggy/blurred vision (33%).

Discussion

Forty percent of images were accurate portrayals of visual migraine aura symptoms, but these presented limited phenotypes. The information derived from the internet photos may hinder the effective recognition of aura symptoms. Thus, there is a need to provide a more comprehensive representation of visual migraine aura symptoms on the internet.

中文翻译：

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互联网上对偏头痛视觉先兆的描述。

介绍

最常见和多方面的偏头痛先兆症状是视觉障碍。健康信息是互联网上最热门的话题之一，但公开信息的质量和可靠性是未知的。本研究的目的是分析 Google 上的偏头痛先兆图像，以确定正确呈现视觉先兆的频率和视觉先兆表型的分布。

方法

两位作者在 Google 上筛选了 100 个索引最高的偏头痛先兆相关图像。图像的内容被分类为基本的视觉症状。

结果

100 张图像中有 40 张是视觉偏头痛先兆的准确表示。这些图像包括 31 种不同的视觉光环表型。大多数人有不止一种基本视觉症状（中位数 2，IQR 1-3），最常见的是“豆状”形式（45%）、锯齿状线（40%）和视力模糊/模糊（33%）。

讨论

40% 的图像准确描绘了视觉偏头痛先兆症状，但这些表现出的表型有限。来自网络照片的信息可能会阻碍对先兆症状的有效识别。因此，需要在互联网上提供更全面的视觉偏头痛先兆症状。