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无标准刺激的失匹配负波(MMN)。

The mismatch negativity (MMN) with no standard stimulus.

机构信息

Cognitive Brain Research Unit, University of Helsinki, Helsinki, Finland.

出版信息

Clin Neurophysiol. 2010 Jul;121(7):1043-50. doi: 10.1016/j.clinph.2010.02.009. Epub 2010 Mar 6.

DOI:10.1016/j.clinph.2010.02.009
PMID:20207581
Abstract

OBJECTIVE

The recent fast multi-feature mismatch negativity (MMN) paradigms rest on the assumption that the deviant stimuli, alternating with the standard tone, strengthen the memory trace of the standard in respect to those attributes they have in common. In the present study, we tested whether the MMN can be recorded even without the standard stimulus, with the invariant properties of the deviant stimuli serving as a standard against which to detect the sound changes.

METHODS

MMN was recorded for changes in sound duration, frequency, intensity, location, gap, brightness, density, and noise level in a new multi-feature paradigm where no standard stimuli were used. In addition, these MMNs were compared with those recorded in the conventional multi-feature paradigm.

RESULTS

All sound changes elicited significant MMN responses that were highly similar between paradigms.

CONCLUSIONS

The MMN can be recorded even without the standard stimulus, as an accurate memory trace is constructed for the invariant features of the auditory input.

SIGNIFICANCE

Omitting the standard stimuli results in almost 50% shorter recording time and the larger selection of deviant types with the newly introduced brightness, density, and noise-level changes provides even more information on the individual perceptual profiles than conventional multi-feature paradigms.

摘要

目的

最近的快速多特征失匹配负波(MMN)范式基于这样一种假设,即与标准音调交替出现的偏差刺激会增强标准刺激在它们共同属性方面的记忆痕迹。在本研究中,我们测试了即使没有标准刺激,是否也可以记录 MMN,将偏差刺激的不变属性作为检测声音变化的标准。

方法

在一个新的多特征范式中,记录了声音持续时间、频率、强度、位置、间隙、亮度、密度和噪声水平变化的 MMN,其中没有使用标准刺激。此外,还将这些 MMN 与传统多特征范式中记录的 MMN 进行了比较。

结果

所有声音变化都引起了显著的 MMN 反应,这些反应在两种范式之间非常相似。

结论

即使没有标准刺激,也可以记录 MMN,因为对听觉输入的不变特征构建了准确的记忆痕迹。

意义

省略标准刺激会导致记录时间缩短近 50%,而新引入的亮度、密度和噪声水平变化的更大偏差类型选择比传统多特征范式提供了更多关于个体感知特征的信息。

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