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Network analysis of cortical visual pathways mapped with PET

机译:PET绘制的皮层视觉通路的网络分析

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摘要

Brain metabolic mapping techniques, such as positron emission tomography (PET), can provide information about the functional interactions within entire neural systems. With the large quantity of data that can accumulate from a mapping study, a network analysis, which makes sense of the complex interactions among neural elements, is necessary. A network analysis was performed on data obtained from a PET study that examined both the changes in regional cerebral blood flow (rCBF) and interregional correlations among human cortical areas during performance of an object vision (face matching) and spatial vision (dot- location matching) task. Brain areas for the network were selected based on regions showing significant rCBF or interregional correlations between tasks. Anterior temporal and frontal lobe regions were added to the network using a principal components analysis. Interactions among selected regions were quantified with structural equation modeling. In the structural equation models, connections between brain areas were based on known neuroanatomy and the interregional correlations were used to calculate path coefficients representing the magnitude of the influence of each directional path. The combination of the anatomical network and interregional correlations created a functional network for each task. The functional network for the right hemisphere showed that in the object vision task, dominant path influences were among occipitotemporal areas, while in the spatial vision task, occipitoparietal interactions were stronger. The network for the spatial vision task also had a strong feedback path from area 46 to occipital cortex, an effect that was absent in the object vision task. There were strong interactions between dorsal and ventral pathways in both networks. Functional networks for the left hemisphere did not differ between tasks. Networks for the interhemispheric interactions showed that the dominant pathway in the right hemisphere also had stronger effects on homologous left hemisphere areas and are consistent with a hypothesis that intrahemispheric interactions were greater in the right hemisphere in both tasks, and that these influences were transmitted callosally to the left hemisphere.
机译:脑代谢映射技术,例如正电子发射断层扫描(PET),可以提供有关整个神经系统内功能相互作用的信息。由于可以从映射研究中积累大量数据,因此有必要进行网络分析,以了解神经元之间的复杂相互作用。对从PET研究获得的数据进行了网络分析,该研究检查了在执行对象视觉(面部匹配)和空间视觉(点位置匹配)过程中区域大脑血流(rCBF)的变化以及人类皮质区域之间的区域间相关性。 )任务。根据显示重要rCBF或任务之间区域间相关性的区域选择网络的大脑区域。使用主成分分析将前颞叶和额叶区域添加到网络中。使用结构方程模型对选定区域之间的相互作用进行定量。在结构方程模型中,大脑区域之间的连接是基于已知的神经解剖结构,并且使用区域间相关性来计算代表每个方向路径影响程度的路径系数。解剖网络和区域间相关性的结合为每个任务创建了一个功能网络。右半球的功能网络显示,在对象视觉任务中,主要的路径影响在枕颞区域中,而在空间视觉任务中,枕顶的相互作用更强。用于空间视觉任务的网络还具有从区域46到枕皮质的强大反馈路径,这在对象视觉任务中是不存在的。在两个网络中,背侧和腹侧通路之间都存在强烈的相互作用。任务之间左半球的功能网络没有差异。半球间相互作用的网络表明,右半球的主要途径对左半球的同源区域也有更强的影响,并且与以下假设相一致:两个任务中右半球的半球内相互作用均较大,并且这些影响在一定程度上被传递给了左半球。

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