Vision Science Graduate Program, University of California, Berkeley, California, USA.
J Neurophysiol. 2012 Mar;107(6):1776-90. doi: 10.1152/jn.00237.2011. Epub 2011 Dec 14.
Studying neural activity during natural viewing conditions is not often attempted. Isolating the neural response of a single saccade is necessary to study neural activity during natural viewing; however, the close temporal spacing of saccades that occurs during natural viewing makes it difficult to determine the response to a single saccade. Herein, a general linear model (GLM) approach is applied to estimate the EEG neural saccadic response for different segments of the saccadic main sequence separately. It is determined that, in visual search conditions, neural responses estimated by conventional event-related averaging are significantly and systematically distorted relative to GLM estimates due to the close temporal spacing of saccades during visual search. Before the GLM is applied, analyses are applied that demonstrate that saccades during visual search with intersaccadic spacings as low as 100-150 ms do not exhibit significant refractory effects. Therefore, saccades displaying different intersaccadic spacings during visual search can be modeled using the same regressor in a GLM. With the use of the GLM approach, neural responses were separately estimated for five different ranges of saccade amplitudes during visual search. Occipital responses time locked to the onsets of saccades during visual search were found to account for, on average, 79 percent of the variance of EEG activity in a window 90-200 ms after the onsets of saccades for all five saccade amplitude ranges that spanned a range of 0.2-6.0 degrees. A GLM approach was also used to examine the lateralized ocular artifacts associated with saccades. Possible extensions of the methods presented here to account for the superposition of microsaccades in event-related EEG studies conducted in nominal fixation conditions are discussed.
在自然观察条件下研究神经活动并不常见。为了研究自然观察期间的神经活动,有必要分离单个扫视的神经反应; 然而,自然观察期间扫视的时间间隔很近,使得很难确定对单个扫视的反应。在此,应用广义线性模型 (GLM) 方法分别估计扫视主序列的不同段的 EEG 神经扫视反应。确定在视觉搜索条件下,由于视觉搜索期间扫视的时间间隔很近,常规事件相关平均法估计的神经反应相对于 GLM 估计值显著且系统地失真。在应用 GLM 之前,应用分析表明,在扫视间隔低至 100-150ms 的视觉搜索期间,扫视不会表现出明显的不应期效应。因此,在视觉搜索期间显示不同的扫视间隔的扫视可以使用 GLM 中的相同回归器进行建模。使用 GLM 方法,分别估计了视觉搜索期间五个不同范围的扫视幅度的神经反应。在视觉搜索期间,与扫视开始时间锁相的枕叶反应平均占扫视开始后 90-200ms 期间 EEG 活动方差的 79%,所有五个扫视幅度范围跨越 0.2-6.0 度。还使用 GLM 方法检查与扫视相关的偏侧性眼动伪迹。讨论了在此处提出的方法的可能扩展,以解释在名义固定条件下进行的事件相关 EEG 研究中微扫视的叠加。