Evidence map›Paper›PMID 39022924›Full record

ArticleeLife2024

A synergistic workspace for human consciousness revealed by Integrated Information Decomposition.

Andrea I Luppi, Pedro A M Mediano, Fernando E Rosas, Judith Allanson, John Pickard, Robin L Carhart-Harris, Guy B Williams, Michael M Craig, Paola Finoia, Adrian M Owen and 4 more

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
–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

57 citing papers in PubMed.

  1. The entropic brain today.Brain : a journal of neurology · 2026
    Review
  2. Article
  3. Article
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  13. Illuminating consciousness.Frontiers in psychology · 2026
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Toward a unified taxonomy of information dynamics via Integrated Information Decomposition.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Andrea I LuppiDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-3461-6431
Pedro A M MedianoDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Fernando E RosasCenter for Psychedelic Research, Department of Brain Science, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-7790-6183
Judith AllansonDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
John PickardDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
Robin L Carhart-HarrisCenter for Psychedelic Research, Department of Brain Science, Imperial College London, London, United Kingdom.
Guy B WilliamsDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
Michael M CraigDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
Paola FinoiaDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
Adrian M OwenDepartment of Psychology and Department of Physiology and Pharmacology, The Brain and Mind Institute, University of Western Ontario, London, Canada.
Lorina NaciTrinity College Institute of Neuroscience, School of Psychology, Lloyd Building, Trinity College, Dublin, Ireland.ORCID https://orcid.org/0000-0001-9630-3978
David K MenonUniversity Division of Anaesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Daniel BorDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-0741-8157
Emmanuel A StamatakisUniversity Division of Anaesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0001-6955-9601

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Canadian Institute for Advanced Research RCZB/072 RG93193Fondation L'Oréal Women in Science Excellence Research FellowshipGates Cambridge Trust OPP1144Medical Research Council U.1055.01.002.00001.01NIMH NIH HHS U54 MH091657Queens' College Cambridge Stephen Erskine FellowshipRoyal College of Anaesthetists British Oxygen ProfessorshipUNESCO Women in Science Excellence Research FellowshipWellcome TrustWellcome Trust 10.35802/210920Wellcome Trust 215063
6 · The paper itself

Abstract

How is the information-processing architecture of the human brain organised, and how does its organisation support consciousness? Here, we combine network science and a rigorous information-theoretic notion of synergy to delineate a 'synergistic global workspace', comprising gateway regions that gather synergistic information from specialised modules across the human brain. This information is then integrated within the workspace and widely distributed via broadcaster regions. Through functional MRI analysis, we show that gateway regions of the synergistic workspace correspond to the human brain's default mode network, whereas broadcasters coincide with the executive control network. We find that loss of consciousness due to general anaesthesia or disorders of consciousness corresponds to diminished ability of the synergistic workspace to integrate information, which is restored upon recovery. Thus, loss of consciousness coincides with a breakdown of information integration within the synergistic workspace of the human brain. This work contributes to conceptual and empirical reconciliation between two prominent scientific theories of consciousness, the Global Neuronal Workspace and Integrated Information Theory, while also advancing our understanding of how the human brain supports consciousness through the synergistic integration of information.

Indexed as

BrainConsciousnessMagnetic Resonance ImagingAdultDefault Mode NetworkFemaleHumansMaleYoung Adultanaesthesiabrain networkscomputational biologydisorders of consciousnessglobal workspacehumanintegrated informationneurosciencesynergysystems biology

Identifiers

PMID39022924
PMCPMC11257694

What OpenQuestion holds

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LicenceCC BY
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.