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Cerebral cartography and connectomics

机译:脑图学和连接组学

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Cerebral cartography and connectomics pursue similar goals in attempting to create maps that can inform our understanding of the structural and functional organization of the cortex. Connectome maps explicitly aim at representing the brain as a complex network, a collection of nodes and their interconnecting edges. This article reflects on some of the challenges that currently arise in the intersection of cerebral cartography and connectomics. Principal challenges concern the temporal dynamics of functional brain connectivity, the definition of areal parcellations and their hierarchical organization into large-scale networks, the extension of whole-brain connectivity to cellular-scale networks, and the mapping of structure/function relations in empirical recordings and computational models. Successfully addressing these challenges will require extensions of methods and tools from network science to the mapping and analysis of human brain connectivity data. The emerging view that the brain is more than a collection of areas, but is fundamentally operating as a complex networked system, will continue to drive the creation of ever more detailed and multi-modal network maps as tools for on-going exploration and discovery in human connectomics.
机译:脑制图学和连接组学在试图创建地图时可以追求相似的目标,这些地图可以帮助我们了解皮质的结构和功能组织。 Connectome映射明确旨在将大脑表示为一个复杂的网络,节点及其相互连接的边缘的集合。本文介绍了脑制图学与连接组学相交方面目前出现的一些挑战。主要挑战涉及功能性大脑连接的时间动态,区域碎片的定义及其在大型网络中的分层组织,将全脑连接扩展到细胞规模网络以及经验记录中的结构/功能关系映射和计算模型。成功应对这些挑战将需要将方法和工具从网络科学扩展到人脑连接数据的映射和分析。新兴的观点是,大脑不仅仅是一个区域的集合,而是从根本上作为一个复杂的网络系统运行的,这将继续推动创建越来越详细和多模式的网络地图,作为继续进行探索和发现的工具。人类连接组学。

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