Department of Neurology, University of Cincinnati, Cincinnati, OH 45267-0525, USA.
Epilepsy Behav. 2011 Apr;20(4):613-22. doi: 10.1016/j.yebeh.2010.11.010. Epub 2011 Feb 4.
Semantic association, an essential element of human language, enables discourse and inference. Neuroimaging studies have revealed localization and lateralization of semantic circuitry, making substantial contributions to cognitive neuroscience. However, because of methodological limitations, these investigations have only identified individual functional components rather than capturing the behavior of the entire network. To overcome these limitations, we have implemented group independent component analysis (ICA) to investigate the cognitive modules used by healthy adults performing the fMRI semantic decision task. When compared with the results of a standard general linear modeling (GLM) analysis, ICA detected several additional brain regions subserving semantic decision. Eight task-related group ICA maps were identified, including left inferior frontal gyrus (BA44/45), middle posterior temporal gyrus (BA39/22), angular gyrus/inferior parietal lobule (BA39/40), posterior cingulate (BA30), bilateral lingual gyrus (BA18/23), inferior frontal gyrus (L>R, BA47), hippocampus with parahippocampal gyrus (L>R, BA35/36), and anterior cingulate (BA32/24). Although most of the components were represented bilaterally, we found a single, highly left-lateralized component that included the inferior frontal gyrus and the medial and superior temporal gyri, the angular and supramarginal gyri, and the inferior parietal cortex. The presence of these spatially independent ICA components implies functional connectivity and can be equated with their modularity. These results are analyzed and presented in the framework of a biologically plausible theoretical model in preparation for similar analyses in patients with right- or left-hemispheric epilepsies.
语义联想是人类语言的基本要素,使我们能够进行话语和推理。神经影像学研究揭示了语义回路的定位和侧化,为认知神经科学做出了重要贡献。然而,由于方法学的限制,这些研究仅确定了单个的功能成分,而没有捕捉到整个网络的行为。为了克服这些限制,我们实施了组独立成分分析(ICA)来研究健康成年人执行 fMRI 语义决策任务时使用的认知模块。与标准的一般线性建模(GLM)分析结果相比,ICA 检测到了几个额外的支持语义决策的大脑区域。确定了 8 个与任务相关的组 ICA 图谱,包括左额下回(BA44/45)、中后颞叶(BA39/22)、角回/下顶叶(BA39/40)、后扣带回(BA30)、双侧舌回(BA18/23)、额下回(左>右,BA47)、海马体伴旁海马回(左>右,BA35/36)和前扣带回(BA32/24)。虽然大多数成分都是双侧代表的,但我们发现了一个高度左偏侧的单一成分,包括额下回、内侧和上颞叶、角回和缘上回,以及下顶叶。这些空间上独立的 ICA 成分的存在意味着功能连接,可以与它们的模块性等同。这些结果在一个生物上合理的理论模型框架内进行分析和呈现,为分析右侧或左侧癫痫患者的类似结果做好准备。