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基于静息态 fMRI 数据的功能连接梯度特征模型测试。

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

机构信息

Integrative Neuroscience Program, Department of Psychology, Stony Brook University, Stony Brook, NY, 11794-2500, USA.

Department of Psychiatry, Yale University School of Medicine, New Haven, CT, 06519, USA.

出版信息

Neuroimage. 2019 Jan 15;185:102-110. doi: 10.1016/j.neuroimage.2018.10.022. Epub 2018 Oct 10.

Abstract

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.

摘要

根据神经解剖结构的拓扑组织概念,人们越来越感兴趣的是使用静息态 fMRI 数据来估计和描绘感兴趣区域内相邻体素之间功能连接模式的连续变化。这种功能连接梯度分析的基础是假设功能组织在感兴趣区域内是稳定和一致的。为了评估这一假设,我们开发了一种统计模型测试程序,以在结构的细分区域之间的重叠、移位或不同的拓扑连接梯度之间做出裁决。我们使用纹状体(一种由尾状核和壳核组成的皮质下结构)来测试该程序,该结构有大量文献,主要来自啮齿动物和非人类灵长类动物,表明其具有单一对角线梯度的共享拓扑组织。我们在人类的多个具有不同空间分辨率的静息态 fMRI 数据样本和一个猕猴静息态 fMRI 数据样本中发现,跨尾状核和壳核的不同功能连接梯度的模型是首选模型。模型选择过程在棋盘细分的对照条件下得到了验证,表现出预期的重叠梯度。更具体地说,虽然我们在尾状核和壳核中复制了功能连接梯度的对角线组织,但我们的分析还揭示了尾状核内的内侧-外侧组织。毫不奇怪,在假设单一梯度的情况下进行相同的分析会混淆尾状核的内侧-外侧组织,只产生对角线梯度。这些发现表明了在不同物种中测试基本假设和评估解释的重要性。在未来的研究中,应该检验人类壳核和尾状核之间的差异拓扑梯度以及尾状核的内侧-外侧梯度的重要性。

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