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将主梯度映射到胼胝体上。

Mapping the principal gradient onto the corpus callosum.

机构信息

Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France; Groupe d'Imagerie Neurofonctionelle, CEA, Univ. Bordeaux, CNRS, IMN, UMR 5293, Bordeaux F-33000, France.

Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France; Groupe d'Imagerie Neurofonctionelle, CEA, Univ. Bordeaux, CNRS, IMN, UMR 5293, Bordeaux F-33000, France; Centre for Neuroimaging Sciences, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

出版信息

Neuroimage. 2020 Dec;223:117317. doi: 10.1016/j.neuroimage.2020.117317. Epub 2020 Aug 31.

Abstract

Gradients capture some of the variance of the resting-state functional magnetic resonance imaging (rsfMRI) signal. Amongst these, the principal gradient depicts a functional processing hierarchy that spans from sensory-motor cortices to regions of the default-mode network. While the cortex has been well characterised in terms of gradients little is known about its underlying white matter. For instance, comprehensive mapping of the principal gradient on the largest white matter tract, the corpus callosum, is still missing. Here, we mapped the principal gradient onto the midsection of the corpus callosum using the 7T human connectome project dataset. We further explored how quantitative measures and variability in callosal midsection connectivity relate to the principal gradient values. In so doing, we demonstrated that the extreme values of the principal gradient are located within the callosal genu and the posterior body, have lower connectivity variability but a larger spatial extent along the midsection of the corpus callosum than mid-range values. Our results shed light on the relationship between the brain's functional hierarchy and the corpus callosum. We further speculate about how these results may bridge the gap between functional hierarchy, brain asymmetries, and evolution.

摘要

梯度可以捕捉静息态功能磁共振成像(rsfMRI)信号的部分方差。其中,主梯度描绘了一个从感觉运动皮层到默认模式网络区域的功能处理层次结构。虽然皮层在梯度方面已经得到了很好的描述,但关于其下的白质知之甚少。例如,对最大的白质束——胼胝体的主梯度进行全面映射仍然缺失。在这里,我们使用 7T 人类连接组计划数据集将主梯度映射到胼胝体的中部。我们进一步探索了胼胝体中部连接的定量测量和变异性与主梯度值之间的关系。通过这样做,我们证明了主梯度的极值位于胼胝体膝部和后体部内,其连接变异性较低,但在胼胝体中部的空间延伸比中值范围更大。我们的结果揭示了大脑功能层次结构与胼胝体之间的关系。我们进一步推测这些结果如何弥合功能层次结构、大脑不对称性和进化之间的差距。

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