Supp Gernot G, Schlögl Alois, Fiebach Christian J, Gunter Thomas C, Vigliocco Gabriella, Pfurtscheller Gert, Petsche Hellmuth
Institute of Human-Computer Interfaces, University of Technology, Inffeldgasse 16a, A-8010 Graz, Austria.
Eur J Neurosci. 2005 Feb;21(4):1139-43. doi: 10.1111/j.1460-9568.2005.03906.x.
To characterize the regional changes in neuronal couplings and information transfer related to semantic aspects of object recognition in humans we used partial-directed EEG-coherence analysis (PDC). We examined the differences of processing recognizable and unrecognizable pictures as reflected by changes in cortical networks within the time-window of a determined event-related potential (ERP) component, namely the N400. Fourteen participants performed an image recognition task, while sequentially confronted with pictures of recognizable and unrecognizable objects. The time-window of N400 as indicative of object semantics was defined from the ERP. Differences of PDC in the beta-band between these tasks were represented topographically as patterns of electrical couplings, possibly indicating changing degrees of functional cooperation between brain areas. Successful memory retrieval of picture meaning appears to be supported by networks comprising left temporal and parietal regions and bilateral frontal brain areas.
为了描述与人类物体识别语义方面相关的神经元耦合和信息传递的区域变化,我们使用了偏定向脑电图相干分析(PDC)。我们研究了在一个确定的事件相关电位(ERP)成分,即N400的时间窗口内,可识别和不可识别图片处理过程中的差异,这些差异通过皮质网络的变化得以体现。14名参与者执行了一项图像识别任务,他们依次面对可识别和不可识别物体的图片。从ERP中定义了作为物体语义指标的N400时间窗口。这些任务之间β波段PDC的差异以电耦合模式的形式进行地形学表示,这可能表明脑区之间功能协作程度的变化。成功的图片意义记忆检索似乎得到了包括左颞叶和顶叶区域以及双侧额叶脑区的网络的支持。