Institut für Psychologie, Universität Leipzig Leipzig, Germany.
Front Psychol. 2011 Aug 8;2:189. doi: 10.3389/fpsyg.2011.00189. eCollection 2011.
The infrequent occurrence of a transient feature (deviance; e.g., frequency modulation, FM) in one of the regular occurring sinusoidal tones (standards) elicits the deviance related mismatch negativity (MMN) component of the event-related brain potential. Based on a memory-based comparison, MMN reflects the mismatch between the representations of incoming and standard sounds. The present study investigated to what extent the infrequent exclusion of an FM is detected by the MMN system. For that purpose we measured MMN to deviances that either consisted of the exclusion or inclusion of an FM at an early or late position within the sound that was present or absent, respectively, in the standard. According to the information-content hypothesis, deviance detection relies on the difference in informational content of the deviant relative to that of the standard. As this difference between deviants with FM and standards without FM is the same as in the reversed case, comparable MMNs should be elicited to FM inclusions and exclusions. According to the feature-detector hypothesis, however, the deviance detection depends on the increased activation of feature detectors to additional sound features. Thus, rare exclusions of the FM should elicit no or smaller MMN than FM inclusions. In passive listening condition, MMN was obtained only for the early inclusion, but not for the exclusions nor for the late inclusion of an FM. This asymmetry in automatic deviance detection seems to partly reflect the contribution of feature detectors even though it cannot fully account for the missing MMN to late FM inclusions. Importantly, the behavioral deviance detection performance in the active listening condition did not reveal such an asymmetry, suggesting that the intentional detection of the deviants is based on the difference in informational content. On a more general level, the results partly support the "fresh-afferent" account or an extended memory-comparison based account of MMN.
在规则出现的正弦音调(标准)之一中偶尔出现的瞬变特征(偏差;例如,频率调制,FM)会引起事件相关脑电位的与偏差相关的失匹配负波(MMN)成分。基于基于记忆的比较,MMN 反映了传入声音和标准声音表示之间的不匹配。本研究调查了 MMN 系统在多大程度上检测到 FM 的不频繁排除。为此,我们测量了 MMN 对偏差的反应,这些偏差要么由 FM 的排除或包括组成,要么由声音中的早期或晚期位置组成,而标准中分别存在或不存在。根据信息量假说,偏差检测依赖于偏差相对于标准的信息量差异。由于具有 FM 的偏差与没有 FM 的标准之间的这种差异相同,因此应该对 FM 的包含和排除产生可比的 MMN。然而,根据特征检测器假说,偏差检测取决于对附加声音特征的特征检测器的激活增加。因此,FM 的罕见排除不应引起比 FM 包含更小或没有 MMN。在被动聆听条件下,仅对早期的 FM 包含获得了 MMN,而对 FM 的排除和晚期的 FM 包含则没有获得 MMN。这种自动偏差检测的不对称性似乎部分反映了特征检测器的贡献,尽管它不能完全解释对晚期 FM 包含的 MMN 的缺失。重要的是,在主动聆听条件下的行为偏差检测性能没有显示出这种不对称性,表明对偏差的有意检测是基于信息量的差异。在更一般的层面上,结果部分支持 MMN 的“新传入”解释或基于扩展记忆比较的解释。