Evidence map›Paper›PMID 27791099›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

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

Daniel S Margulies, Satrajit S Ghosh, Alexandros Goulas, Marcel Falkiewicz, Julia M Huntenburg, Georg Langs, Gleb Bezgin, Simon B Eickhoff, F Xavier Castellanos, Michael Petrides and 2 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,325 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,325citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1,325 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Heterogeneous brain alterations in treatment-resistant depression converge on common control networks.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Pooled it
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  9. The Influence of Contralesional Brain Age Gradients on Chronic Stroke Aphasia Severity and Treatment Response.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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  10. Mechanistic versus descriptive interpretation of brain activity pattern reconstruction.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  17. Resolving the Abstract-Concrete Paradox in the Angular Gyrus: A Multimethod Investigation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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  19. Functional neurological disorder, suggestion and virtual reality: neuroanatomical and computational perspectives.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Review
  20. Article

1,265 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Daniel S MarguliesMax Planck Research Group for Neuroanatomy & Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany; margulies@cbs.mpg.de.
Satrajit S GhoshMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0002-5312-6729
Alexandros GoulasDepartment of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany.
Marcel FalkiewiczMax Planck Research Group for Neuroanatomy & Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany.
Julia M HuntenburgMax Planck Research Group for Neuroanatomy & Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany.
Georg LangsDepartment of Biomedical Imaging and Image-Guided Therapy, Computational Imaging Research Laboratory, Medical University of Vienna, Vienna A-1090, Austria.
Gleb BezginMcConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada H3A 2B4.
Simon B EickhoffInstitute for Neuroscience and Medicine, Research Center Jülich, Juelich 52428, Germany.
F Xavier CastellanosChild Study Center, Department of Child and Adolescent Psychiatry, New York University Langone Medical Center, New York, NY 10016.
Michael PetridesCognitive Neuroscience Unit, Montreal Neurological Institute, McGill University, Montreal, QC, Canada H3A 2B4.
Elizabeth JefferiesDepartment of Psychology, University of York, York YO10 5DD, United Kingdom.
Jonathan SmallwoodDepartment of Psychology, University of York, York YO10 5DD, United Kingdom.

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Training and DisseminationP41EB015902 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KIKINIS, RON, WESTIN, CARL-FREDRIK · 2012 to 2022
$20.9M
Resource DiscoveryP41EB019936 · NIBIB · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI David Nelson Kennedy · 2016 to 2026
$15.2M
Meta-anaylsis in human brain mappingR01MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2006 to 2024
$10.5M
Connectomes Related to Anxiety and Depression in AdolescentsU01MH108168 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIELI, JOHN, WHITFIELD-GABRIELI, SUSAN · 2015 to 2019
$4.6M
MRI-GENetics Interface Exploration_MRI-GENIE_StudyR01NS086905 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI ROST, NATALIA S · 2015 to 2019
$3.3M
Nipype: Dataflows for Reproducible Biomedical ResearchR01EB020740 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GHOSH, SATRAJIT SUJIT · 2016 to 2019
$2.7M
Genetic Determinants of Schizophrenia Intermediate PhenotypesR01MH092380 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PETRYSHEN, TRACEY · 2012 to 2015
$2.4M
Biotechnology and Biological Sciences Research Council BB/J006963/1CIHR FDN-143212European Research Council 283530NIBIB NIH HHS P41 EB015902NIBIB NIH HHS P41 EB019936NIBIB NIH HHS R01 EB020740NIMH NIH HHS R01 MH074457NIMH NIH HHS R01 MH092380NIMH NIH HHS U01 MH108168NIMH NIH HHS U54 MH091657NINDS NIH HHS R01 NS086905
6 · The paper itself

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.

Indexed as

AnimalsBrainBrain MappingHumansMacacaMagnetic Resonance ImagingModels, NeurologicalNerve NetSensationSensorimotor Cortexconnectivitycortical organizationdefault-mode networkgradientstopography

Identifiers

PMID27791099
PMCPMC5098630

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.