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Abstract
Typical consciousness is defined as an individual-specific stream of experiences. This paper proposes an alternative approach to studying consciousness by combining modern theories with phenomenology and dynamical systems theory, representing individual connectivity dynamics in an intrinsically-defined landscape. This landscape serves as a proxy for the stream of consciousness. Analysis shows consciousness is linked to less predictable, quicker, but more constant short-term transitions, and less easily describable temporally-specific connectivity states, suggesting a richer state space. Cortex, cerebellum, and subcortex all show consciousness-relevant dynamics.
Publisher
Communications Biology
Published On
Nov 03, 2022
Authors
Peter Coppola, Judith Allanson, Lorina Naci, Ram Adapa, Paola Finoia, Guy B. Williams, John D. Pickard, Adrian M. Owen, David K. Menon, Emmanuel A. Stamatakis
Tags
consciousness
connectivity dynamics
phenomenology
dynamical systems theory
brain regions
unpredictable transitions
state space
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