MEG latency difference measurement for priming experiments.

A Matani, T Hayakawa, S Munetsuna, N Fujimaki
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Abstract

Latency analysis of magnetoencephalography (MEG) for priming experiments, not in motor readiness level but in cognition level, may be useful for identification of the brain system. We performed a masked priming experiment for repetitive presentation of visual words. The subjects of the experiment were asked to perform a categorization task and button-pressing. The stimuli of the experiment consisted of mask (duration: 700 ms) - prime (70 ms) - target (1000 ms). There were four types of experiment which depended on the combinations of primes and targets: #1) in-category/in-category; #2) pseudo-characters/in-category; #3) out-category/out-category; and #4) pseudo-characters/out-category. As a result, the order of reaction times (RTs) were #1 < #2 < #3 approximately #4. We performed MEG recording with the above experiment simultaneously. Due to such a short stimulus onset asynchrony (SOA) of 70 ms and higher-order brain activity for language processing, the MEG activity continued for several hundred milliseconds, did not have conspicuous peaks, and could not be separated in the prime and target responses. This kind of MEG data is difficult to investigate with conventional signal processing methods, such as subtraction or signal source estimation. We applied a pattern analyzing method that measured the similarity time course between two sets of MEG data. The similarity time courses between experiments #3 and #4 and the other experiments were calculated. The order of the peak latencies of the time course was the same as that of RTs.

启动实验的脑磁图潜伏期差测量。
脑磁图(MEG)的潜伏期分析,不是在运动准备水平,而是在认知水平,可能有助于识别大脑系统。我们对视觉词的重复呈现进行了掩蔽启动实验。实验对象被要求完成分类任务并按下按钮。实验刺激包括掩模刺激(持续时间700 ms) -启动刺激(70 ms) -目标刺激(1000 ms)。有四种类型的实验依赖于启动物和目标的组合:1)类别内/类别内;# 2) pseudo-characters /集中;# 3) out-category / out-category;4)伪字符/外类别。因此,反应时间(RTs)的顺序为#1 < #2 < #3,大约为#4。我们与上述实验同时进行脑磁图记录。由于70 ms的短刺激启动异步(SOA)和语言处理的高阶脑活动,MEG活动持续了几百毫秒,没有明显的峰值,并且在启动反应和目标反应中无法分离。这种MEG数据很难用传统的信号处理方法来研究,比如减法或信号源估计。我们采用模式分析法来测量两组脑磁图数据之间的相似时间过程。计算了实验3和实验4与其他实验的相似时间过程。时间过程的峰值潜伏期顺序与RTs相同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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