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A synergistic workspace for human consciousness revealed by Integrated Information Decomposition

Authors :
Andrea I Luppi
Pedro AM Mediano
Fernando E Rosas
Judith Allanson
John Pickard
Robin L Carhart-Harris
Guy B Williams
Michael M Craig
Paola Finoia
Adrian M Owen
Lorina Naci
David K Menon
Daniel Bor
Emmanuel A Stamatakis
Source :
eLife, Vol 12 (2024)
Publication Year :
2024
Publisher :
eLife Sciences Publications Ltd, 2024.

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.

Details

Language :
English
ISSN :
2050084X
Volume :
12
Database :
Directory of Open Access Journals
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
edsdoj.f164c9d4fc78496a8410fefc9a6b4feb
Document Type :
article
Full Text :
https://doi.org/10.7554/eLife.88173