Propofol; Brain/diagnostic imaging; Consciousness; Humans; Magnetic Resonance Imaging; Unconsciousness; Brain; Statistical and Nonlinear Physics; Mathematical Physics; Physics and Astronomy (all); Applied Mathematics; General Physics and Astronomy
Abstract :
[en] The dynamic core hypothesis posits that consciousness is correlated with simultaneously integrated and differentiated assemblies of transiently synchronized brain regions. We represented time-dependent functional interactions using dynamic brain networks and assessed the integrity of the dynamic core by means of the size and flexibility of the largest multilayer module. As a first step, we constrained parameter selection using a newly developed benchmark for module detection in heterogeneous temporal networks. Next, we applied a multilayer modularity maximization algorithm to dynamic brain networks computed from functional magnetic resonance imaging (fMRI) data acquired during deep sleep and under propofol anesthesia. We found that unconsciousness reconfigured network flexibility and reduced the size of the largest spatiotemporal module, which we identified with the dynamic core. Our results represent a first characterization of modular brain network dynamics during states of unconsciousness measured with fMRI, adding support to the dynamic core hypothesis of human consciousness.
Disciplines :
Neurology
Author, co-author :
Del Pozo, Sofía Morena; Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires 1428, Argentina
Laufs, Helmut ; Department of Neurology, Christian Albrechts University, Kiel 24118, Germany
BONHOMME, Vincent ; Centre Hospitalier Universitaire de Liège - CHU > > Service d'anesthésie - réanimation
LAUREYS, Steven ; Centre Hospitalier Universitaire de Liège - CHU > > Centre du Cerveau²
Balenzuela, Pablo; Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires 1428, Argentina
Tagliazucchi, Enzo ; Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires 1428, Argentina
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