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核心和基质丘脑亚群与皮质连接的时空梯度有关。

Core and matrix thalamic sub-populations relate to spatio-temporal cortical connectivity gradients.

机构信息

Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.

Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, USA.

出版信息

Neuroimage. 2020 Nov 15;222:117224. doi: 10.1016/j.neuroimage.2020.117224. Epub 2020 Aug 12.

Abstract

Recent neuroimaging experiments have defined low-dimensional gradients of functional connectivity in the cerebral cortex that subserve a spectrum of capacities that span from sensation to cognition. Despite well-known anatomical connections to the cortex, the subcortical areas that support cortical functional organization have been relatively overlooked. One such structure is the thalamus, which maintains extensive anatomical and functional connections with the cerebral cortex across the cortical mantle. The thalamus has a heterogeneous cytoarchitecture, with at least two distinct cell classes that send differential projections to the cortex: granular-projecting 'Core' cells and supragranular-projecting 'Matrix' cells. Here we use high-resolution 7T resting-state fMRI data and the relative amount of two calcium-binding proteins, parvalbumin and calbindin, to infer the relative distribution of these two cell-types (Core and Matrix, respectively) in the thalamus. First, we demonstrate that thalamocortical connectivity recapitulates large-scale, low-dimensional connectivity gradients within the cerebral cortex. Next, we show that diffusely-projecting Matrix regions preferentially correlate with cortical regions with longer intrinsic fMRI timescales. We then show that the Core-Matrix architecture of the thalamus is important for understanding network topology in a manner that supports dynamic integration of signals distributed across the brain. Finally, we replicate our main results in a distinct 3T resting-state fMRI dataset. Linking molecular and functional neuroimaging data, our findings highlight the importance of the thalamic organization for understanding low-dimensional gradients of cortical connectivity.

摘要

最近的神经影像学实验定义了大脑皮层中功能连接的低维梯度,这些梯度为从感觉到认知的一系列能力提供支持。尽管与皮层有众所周知的解剖连接,但支持皮层功能组织的皮层下区域相对被忽视。丘脑就是这样一个结构,它与大脑皮层在整个皮层上保持广泛的解剖和功能连接。丘脑具有异质的细胞结构,至少有两种不同的细胞类群向皮层发送不同的投射:颗粒投射的“核心”细胞和超颗粒投射的“基质”细胞。在这里,我们使用高分辨率的 7T 静息状态 fMRI 数据和两种钙结合蛋白(parvalbumin 和 calbindin)的相对含量,推断这两种细胞类型(分别为 Core 和 Matrix)在丘脑内的相对分布。首先,我们证明了丘脑皮质连接再现了大脑皮层内的大规模、低维连接梯度。接下来,我们表明弥散投射的基质区域优先与具有较长固有 fMRI 时间尺度的皮质区域相关。然后,我们表明丘脑的 Core-Matrix 结构对于理解网络拓扑结构很重要,它支持分布在整个大脑中的信号的动态整合。最后,我们在一个不同的 3T 静息状态 fMRI 数据集上复制了我们的主要结果。将分子和功能神经影像学数据联系起来,我们的发现强调了丘脑组织对于理解皮层连接的低维梯度的重要性。

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