Automated method for extracting response latencies of subject vocalizations in event-related fMRI experiments.
Automated method for extracting response latencies of subject vocalizations in event-related fMRI experiments.
复制标题
在事件相关的功能磁共振成像实验中提取受试者发声响应延迟的自动化方法。
DOI：
10.1016/j.neuroimage.2003.07.020
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发表时间：
2003
期刊：
影响因子：
5.7
通讯作者：
Schlaggar,BL
中科院分区：
文献类型：
--
作者：
Nelles,JL;Lugar,HM;Coalson,RS;Miezin,FM;Petersen,SE;Schlaggar,BL
对于语言的神经基质的功能磁共振成像研究，有能力进行公开的语言反应，而在扫描仪的环境是很重要的几个原因。最直接的是，外显反应允许调查人员测量行为的准确性和反应时间。然而，一个问题是磁共振梯度噪声模糊了由语音响应组成的音频记录，使得难以辨别受试者响应并计算反应时间。ASSERT（A daptive S spectral Subtraction for E extracting R esponse Times）是一种用于从受试者反应的音频记录中去除MR梯度噪声的算法。信号处理提高了响应的可理解性，并且还允许自动提取反应时间。ASSERT导出的响应时间与手动测量的时间相当，平均差异为−8.75 ms（差异的标准差= 26.2 ms）。这些结果支持使用ASSERT的目的，提取反应lavelet和评分明显的口头反应。
For functional magnetic resonance imaging studies of the neural substrates of language, the ability to have subjects performing overt verbal responses while in the scanner environment is important for several reasons. Most directly, overt responses allow the investigator to measure the accuracy and reaction time of the behavior. One problem, however, is that magnetic resonance gradient noise obscures the audio recordings made of voice responses, making it difficult to discern subject responses and to calculate reaction times. ASSERT (A daptive S pectral S ubtraction for E xtracting R esponse T imes), an algorithm for removing MR gradient noise from audio recordings of subject responses, is described here. The signal processing improves intelligibility of the responses and also allows automated extraction of reaction times. The ASSERT-derived response times were comparable to manually measured times with a mean difference of −8.75 ms (standard deviation of difference = 26.2 ms). These results support the use of ASSERT for the purpose of extracting response latencies and scoring overt verbal responses.