National Brain Research Centre, NH 8, Manesar 122052, Haryana, India.
National Brain Research Centre, NH 8, Manesar 122052, Haryana, India.
Neuroimage. 2021 Mar;228:117694. doi: 10.1016/j.neuroimage.2020.117694. Epub 2020 Dec 30.
Information processing in the brain is mediated through a complex functional network architecture whose comprising nodes integrate and segregate themselves on different timescales. To gain an understanding of the network function it is imperative to identify and understand the network structure with respect to the underlying anatomical connectivity and the topographic organization. Here we show that the previously described resting-state network for the somatosensory area 3b comprises of distinct networks that are characteristic for different topographic representations. Seed-based resting-state functional connectivity analysis in macaque monkeys and humans using BOLD-fMRI signals from the face, the hand and rest of the medial somatosensory representations of area 3b revealed different correlation patterns. Both monkeys and humans have many similarities in the connectivity networks, although the networks are more complex in humans with many more nodes. In both the species face area network has the highest ipsilateral and contralateral connectivity, which included areas 3b and 4, and ventral premotor area. The area 3b hand network included ipsilateral hand representation in area 4. The emergent functional network structures largely reflect the known anatomical connectivity. Our results show that different body part representations in area 3b have independent functional networks perhaps reflecting differences in the behavioral use of different body parts. The results also show that large cortical areas if considered together, do not give a complete and accurate picture of the network architecture.
大脑中的信息处理是通过一个复杂的功能网络架构来介导的,其组成节点在不同的时间尺度上进行整合和分离。为了了解网络功能,必须识别和理解网络结构,包括基础解剖连通性和拓扑组织。在这里,我们表明先前描述的躯体感觉区 3b 的静息态网络由不同的网络组成,这些网络是不同拓扑表示的特征。使用来自猴和人类躯体感觉区 3b 的面部、手部和其余内侧感觉区域的 BOLD-fMRI 信号,进行基于种子的静息态功能连接分析,揭示了不同的相关模式。猴和人类在连接网络上有许多相似之处,尽管人类的网络更复杂,节点更多。在这两个物种中,面部区域网络具有最高的同侧和对侧连接性,包括 3b 和 4 区以及腹侧运动前区。3b 区手部网络包括同侧手部在 4 区的代表。出现的功能网络结构在很大程度上反映了已知的解剖连通性。我们的结果表明,3b 区不同的身体部位代表具有独立的功能网络,这可能反映了不同身体部位在行为使用上的差异。结果还表明,如果一起考虑大的皮质区域,不会给出网络架构的完整和准确的图像。