Situating the default-mode network along a principal gradient of macroscale cortical organization

神经科学 默认模式网络 校长(计算机安全) 模式(计算机接口) 心理学 功能连接 计算机科学 计算机安全 人机交互
作者
Daniel S. Margulies,Satrajit Ghosh,Alexandros Goulas,Marcel Falkiewicz,Julia M. Huntenburg,Georg Langs,Gleb Bezgin,Simon B. Eickhoff,F. Xavier Castellanos,Michael Petrides,Elizabeth Jefferies,Jonathan Smallwood
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [National Academy of Sciences]
卷期号:113 (44): 12574-12579 被引量:2236
标识
DOI:10.1073/pnas.1608282113
摘要

Understanding how the structure of cognition arises from the topographical organization of the cortex is a primary goal in neuroscience. Previous work has described local functional gradients extending from perceptual and motor regions to cortical areas representing more abstract functions, but an overarching framework for the association between structure and function is still lacking. Here, we show that the principal gradient revealed by the decomposition of connectivity data in humans and the macaque monkey is anchored by, at one end, regions serving primary sensory/motor functions and at the other end, transmodal regions that, in humans, are known as the default-mode network (DMN). These DMN regions exhibit the greatest geodesic distance along the cortical surface-and are precisely equidistant-from primary sensory/motor morphological landmarks. The principal gradient also provides an organizing spatial framework for multiple large-scale networks and characterizes a spectrum from unimodal to heteromodal activity in a functional metaanalysis. Together, these observations provide a characterization of the topographical organization of cortex and indicate that the role of the DMN in cognition might arise from its position at one extreme of a hierarchy, allowing it to process transmodal information that is unrelated to immediate sensory input.
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