Vision Science Department, Glasgow Caledonian University, Glasgow, Scotland, United Kingdom.
Invest Ophthalmol Vis Sci. 2010 Apr;51(4):2294-9. doi: 10.1167/iovs.09-4318. Epub 2009 Dec 17.
Purpose. Migraine is a disabling condition with underlying neuronal mechanisms that remain elusive. Migraineurs experience hyperresponsivity to visual stimuli and frequently experience visual disturbances. In the present study, the equivalent input noise approach was used to reveal abnormalities of visual processing and to isolate factors responsible for any such deficits. This approach partitions visual sensitivity into components that represent the efficiency of using the available stimulus information, the background internal noise due to irregular neuronal fluctuations, and the neuronal noise induced by the external stimulation. Methods. Ten migraine with aura, ten migraine without aura, and ten age-matched headache-free subjects participated. Performance in detecting luminance targets embedded in visual noise, resembling grainy photographs, was measured at various noise levels. Results. Contrast thresholds of the three subject groups were similar in the absence of noise, but both migraine groups performed worse in the presence of high noise levels, with performance of migraineurs with aura significantly poorer (P < 0.05) than that of control subjects. Data were fitted with a perceptual template model that showed that the model parameter determining the internal (neuronal) noise triggered by the external (stimulus) noise was significantly higher (P < 0.001) in both migraine groups than in the non-migraineur group. Migraineurs without aura also showed a significant (P < 0.05) though weak reduction of sampling efficiency (0.12 +/- 0.02) compared with control subjects (0.17 +/- 0.02). Conclusions. The results revealed substantial external noise-exclusion deficits in migraine with aura and a minor impairment of noise exclusion in migraine without aura. Migraineurs appeared prone to abnormally high variability of neuronal activity. This result provides a promising explanation of observed visual deficits in migraine.
偏头痛是一种致残性疾病,其潜在的神经元机制仍不清楚。偏头痛患者对视觉刺激反应过度,经常出现视觉障碍。在本研究中,采用等效输入噪声方法来揭示视觉处理异常,并分离导致任何此类缺陷的因素。这种方法将视觉敏感性分为代表利用可用刺激信息的效率、由于不规则神经元波动引起的背景内部噪声以及由外部刺激引起的神经元噪声的分量。
10 名有先兆偏头痛患者、10 名无先兆偏头痛患者和 10 名年龄匹配的无头痛患者参与了本研究。在各种噪声水平下,测量了检测嵌入视觉噪声中的亮度目标(类似于颗粒状照片)的性能。
在没有噪声的情况下,三组受试者的对比度阈值相似,但在高噪声水平下,两组偏头痛患者的表现都较差,有先兆偏头痛患者的表现明显较差(P < 0.05)比对照组。数据与感知模板模型拟合表明,决定由外部(刺激)噪声触发的内部(神经元)噪声的模型参数在两个偏头痛组中显著高于非偏头痛组(P < 0.001)。无先兆偏头痛患者的采样效率(0.12 +/- 0.02)也明显低于对照组(0.17 +/- 0.02)(P < 0.05)。
结果显示,有先兆偏头痛患者存在明显的外部噪声排除缺陷,而无先兆偏头痛患者存在轻微的噪声排除障碍。偏头痛患者似乎容易出现神经元活动异常的高可变性。这一结果为偏头痛中观察到的视觉缺陷提供了一个有前途的解释。