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Model testing for distinctive functional connectivity gradients with resting-state fMRI data

机译:具有休息状态FMRI数据的独特功能连接梯度的模型测试

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In accordance with the concept of topographic organization of neuroanatomical structures, there is an increased interest in estimating and delineating continuous changes in the functional connectivity patterns across neighboring voxels within a region of interest using resting-state fMRI data. Fundamental to this functional connectivity gradient analysis is the assumption that the functional organization is stable and uniform across the region of interest. To evaluate this assumption, we developed a statistical model testing procedure to arbitrate between overlapping, shifted, or different topographic connectivity gradients across subdivisions of a structure. We tested the procedure using the striatum, a subcortical structure consisting of the caudate nucleus and putamen, in which an extensive literature, primarily from rodents and non-human primates, suggest to have a shared topographic organization of a single diagonal gradient. We found, across multiple resting state fMRI data samples of different spatial resolutions in humans, and one macaque resting state fMRI data sample, that the models with different functional connectivity gradients across the caudate and putamen was the preferred model. The model selection procedure was validated in control conditions of checkerboard subdivisions, demonstrating the expected overlapping gradient. More specifically, while we replicated the diagonal organization of the functional connectivity gradients in both the caudate and putamen, our analysis also revealed a medial-lateral organization within the caudate. Not surprisingly, performing the same analysis assuming a unitary gradient obfuscates the medial-lateral organization of the caudate, producing only a diagonal gradient. These findings demonstrate the importance of testing basic assumptions and evaluating interpretations across species. The significance of differential topographic gradients across the putamen and caudate and the medial-lateral gradient of the caudate in humans should be tested in future studies.
机译:根据神经解剖结构的地形组织的概念,存在估计和使用静息状态fMRI数据的感兴趣区域内的跨越相邻体素描绘在功能连接模式的连续变化的兴趣增加。基本这个功能连通梯度分析是假设功能组织是稳定的和均匀的穿过感兴趣的区域。为了评估这一假设,我们开发了一个统计模型之间的重叠测试程序进行仲裁,移位或跨结构的细分不同的地形连接梯度。我们使用纹状体测试的程序,由尾状核和壳核,其中大量的文献,主要是从啮齿动物和非人类灵长类动物,表明具有单个对角线梯度的共享地形组织的皮质下结构。我们发现,在不同的空间分辨率的多个静止状态fMRI数据样本中人类,和一个猕猴静止状态fMRI数据样本,即与整个尾状不同功能连接梯度和壳核的模型是优选的模型。模型选择过程在棋盘细分控制条件进行了验证,显示出预期的重叠梯度。更具体地讲,当我们复制的尾状核和壳核无论是功能连通性梯度的对角线组织,我们的分析还揭示了尾状内内 - 外的组织。不足为奇的是,执行相同的分析假设一个单一梯度混淆尾状的内侧 - 外侧组织,产生只对角梯度。这些结果表明测试的基本假设和跨物种评估解释的重要性。整个壳核和尾状核和人类尾的中间横向梯度差地形坡度的意义应在今后的研究中进行测试。

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