Cited by 3Functional Brain Connectivity StudiesNeural dynamics and brain functionComplex Network Analysis Techniques

How the brain transitions from conscious to subliminal perception

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Arese Lucini, Francesca, Del Ferraro, Gino, Sigman, Mariano, Makse, Hernán A.·2019·Neuroscience

Abstract

We study the transition in the functional networks that characterize the human brains' conscious-state to an unconscious subliminal state of perception by using k-core percolation. We find that the most inner core (i.e., the most connected kernel) of the conscious-state functional network corresponds to areas which remain functionally active when the brain transitions from the conscious-state to the subliminal-state. That is, the inner core of the conscious network coincides with the subliminal-state. Mathematical modeling allows to interpret the conscious to subliminal transition as driven by k-core percolation, through which the conscious state is lost by the inactivation of the peripheral k-shells of the conscious functional network. Thus, the inner core and most robust component of the conscious brain corresponds to the unconscious subliminal state. This finding imposes constraints to theoretical models of consciousness, in that the location of the core of the functional brain network is in the unconscious part of the brain rather than in the conscious state as previously thought.

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Research works printed but not linked: 3

  1. [2]Amit DJ. 1989 Modeling brain function: The World of Attractor Neural Networks. Cambridge University Press.
  2. [12]Dehaene S 2014 Consciousness and the brain: Deciphering how the brain codes our thoughts. Penguin.
  3. [16]Del Ferraro G, Moreno A, Min B, Morone F, Pérez-Ramírez U, Pérez-Cervera L, Parra LC, Holodny A, Canals S, & Makse HA,. 2018b Finding influential nodes for integration in brain networks using optimal percolation theory. Nature Communications, 9, 2274. PMC5995874 29891915

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Authors
Arese Lucini, F., Del Ferraro, G., Sigman, M., & Makse, H. A.
Affiliations
  • Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
  • City College of New York (US)
Corresponding author
Makse, Hernán A.
Venue
Neuroscience
Publisher
Elsevier BV
Published
2019-07
Volume
411
Pages
280-290
ISSN
0306-4522 (ISSN-L)
OpenAlex
W2922856976
Cited by
3
References
42
Citations by year
2024: 1 · 2021: 1 · 2019: 1
FWCI
0.29
Type
journal article
Language
en
Open access
Locations
  • Neuroscience (acceptedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
  • Bulletin of the American Physical Society
Funders
National Institutes of Health
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
Keywords
conscious perception, subliminal perception, k-core percolation, functional brain networks, consciousness model, network robustness
MeSH terms
Brain, Brain Mapping, Computer Simulation, Consciousness, Humans, Magnetic Resonance Imaging, Models, Neurological, Nerve Net, Subliminal Stimulation

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