Situating the default-mode network along a principal gradient of macroscale cortical organization
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Margulies-2016-Situating the default-mode netw.pdf
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Author(s)
Margulies, Daniel S.
Goulas, Alexandros
Falkiewicz, Marcel
Huntenburg, Julia M.
Bezgin, Gleb
Eickhoff, Simon B.
Castellanos, F. Xavier
Petrides, Michael
Jefferies, Elizabeth
Smallwood, Jonathan
Date Issued
October 2016
Journal
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences (U.S.)
Citation
Margulies, Daniel S.; Ghosh, Satrajit S.; Goulas, Alexandros; Falkiewicz, Marcel; Huntenburg, Julia M.; Langs, Georg; Bezgin, Gleb et al. “Situating the Default-Mode Network Along a Principal Gradient of Macroscale Cortical Organization.” Proceedings of the National Academy of Sciences 113, no. 44 (October 2016): 12574–12579. © 2016 National Academy of Sciences
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Final published version
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
McGovern Institute for Brain Research at MIT
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1073/pnas.1608282113
