Shalgi Shani, Deouell Leon Y
Department of Cognitive Science, The Hebrew University of Jerusalem, Jerusalem, Israel.
Neuropsychologia. 2007 Apr 9;45(8):1878-88. doi: 10.1016/j.neuropsychologia.2006.11.023. Epub 2007 Jan 18.
Automatic change detection is a fundamental capacity of the human brain. In audition, this capacity is indexed by the mismatch negativity (MMN) event-related potential, which is putatively supported by a network consisting of superior temporal and frontal nodes. The aim of this study was to elucidate the roles of these nodes within the neural network of change detection. We used a dichotic paradigm in which subjects (N=14) attended targets defined by either pitch or spatial location in one auditory stream while the MMN was measured in response to unattended deviants of pitch and spatial location in the other stream. The frontal and temporal components of the MMN were examined using current source density (CSD) measurements. Competition for processing resources nearly eliminated the temporal CSD mismatch response, in a highly feature-specific manner: the response to spatial location deviants was reduced when the target dimension was spatial location but not when it was pitch, whereas the reverse occurred for pitch deviants. In contrast, the frontal CSD mismatch response was neither affected by competition nor by general attention demands. Thus, within the network of change detection, the temporal generators are specifically associated with processing feature-specific information, whereas the role of the frontal generators remains unclear. Moreover, the results are inconsistent with a serial model in which the frontal generator is contingent on activation of the temporal generator.
自动变化检测是人类大脑的一项基本能力。在听觉方面,这种能力由失配负波(MMN)事件相关电位来表征,推测它由一个包含颞上叶和额叶节点的网络所支持。本研究的目的是阐明这些节点在变化检测神经网络中的作用。我们采用了一种双耳分听范式,其中受试者(N = 14)在一个听觉流中关注由音高或空间位置定义的目标,同时测量对另一个流中未关注的音高和空间位置偏差的MMN反应。使用电流源密度(CSD)测量来检查MMN的额叶和颞叶成分。对处理资源的竞争以高度特征特异性的方式几乎消除了颞叶CSD失配反应:当目标维度是空间位置时,对空间位置偏差的反应会降低,但当目标维度是音高时则不会,而对于音高偏差则情况相反。相比之下,额叶CSD失配反应既不受竞争影响,也不受一般注意力需求影响。因此,在变化检测网络中,颞叶发生器与处理特征特异性信息特别相关,而额叶发生器的作用仍不清楚。此外,这些结果与一种串行模型不一致,在该模型中额叶发生器取决于颞叶发生器的激活。