Salajegheh A, Link A, Elster C, Burghoff M, Sander T, Trahms L, Poeppel D
Cognitive Neuroscience of Language Laboratory, University of Maryland, College Park, MD 20742, USA.
Neuroimage. 2004 Sep;23(1):288-95. doi: 10.1016/j.neuroimage.2004.05.022.
Standard analyses of neurophysiologically evoked response data rely on signal averaging across many epochs associated with specific events. The amplitudes and latencies of these averaged events are subsequently interpreted in the context of the given perceptual, motor, or cognitive tasks. Can such critical timing properties of event-related responses be recovered from single-trial data? Here, we make use of the M100 latency paradigm used in previous magnetoencephalography (MEG) research to evaluate a novel single-trial analysis approach. Specifically, the latency of the auditory evoked M100 varies systematically with stimulus frequency over a well-defined time range (lower frequencies, e.g., 125 Hz, yield up to 25 ms longer latencies than higher frequencies, e.g., 1000 Hz). Here, we show that the complex filtering approach to single-trial analysis recovers this key characteristic of the M100 response, as well as some other important response properties relating to lateralization. The results illustrate (i) the utility of the complex filtering method and (ii) the potential of the M100 latency to be used for stimulus encoding, since the relevant variation can be observed in single trials.
对神经生理学诱发反应数据的标准分析依赖于对与特定事件相关的多个时期进行信号平均。这些平均事件的幅度和潜伏期随后会在给定的感知、运动或认知任务背景下进行解释。与事件相关的反应的这种关键时间特性能否从单试次数据中恢复？在这里，我们利用先前脑磁图（MEG）研究中使用的M100潜伏期范式来评估一种新颖的单试次分析方法。具体而言，听觉诱发的M100潜伏期在一个明确的时间范围内随刺激频率系统地变化（较低频率，例如125Hz，比高频，例如1000Hz，产生的潜伏期长多达25毫秒）。在这里，我们表明，单试次分析的复杂滤波方法恢复了M100反应的这一关键特征，以及一些与侧化相关的其他重要反应特性。结果说明了（i）复杂滤波方法的实用性，以及（ii）M100潜伏期用于刺激编码的潜力，因为在单试次中可以观察到相关变化。
