Systems Neuroscience Lab, Champalimaud Research, Av. Brasília, 1400-038 Lisbon, Portugal.
Singapore Bioimaging Consortium, Agency for Science, Technology and Research, 11 Biopolis Way, Singapore 138667, Singapore.
Neuroimage. 2021 Jan 15;225:117528. doi: 10.1016/j.neuroimage.2020.117528. Epub 2020 Nov 4.
Understanding cortical organization is a fundamental goal of neuroscience that requires comparisons across species and modalities. Large-scale connectivity gradients have recently been introduced as a data-driven representation of the intrinsic organization of the cortex. We studied resting-state functional connectivity gradients in the mouse cortex and found robust spatial patterns across four data sets. The principal gradient of functional connectivity shows a striking overlap with an axis of neocortical evolution from two primordial origins. Additional gradients reflect sensory specialization and aspects of a sensory-to-transmodal hierarchy, and are associated with transcriptomic features. While some of these gradients strongly resemble observations in the human cortex, the overall pattern in the mouse cortex emphasizes the specialization of sensory areas over a global functional hierarchy.
理解皮层组织是神经科学的一个基本目标，需要在物种和模态之间进行比较。最近引入了大规模连接梯度，作为皮层内在组织的一种数据驱动表示。我们研究了小鼠皮层的静息状态功能连接梯度，在四个数据集上发现了稳健的空间模式。功能连接的主要梯度与从两个原始起源的新皮层进化轴惊人地重叠。其他梯度反映了感觉专门化和感觉到跨模态层次的各个方面，并与转录组特征相关。虽然其中一些梯度与人类皮层的观察结果非常相似，但在小鼠皮层中，整体模式强调了感觉区域的专业化，而不是全局功能层次结构。
