Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness

PLoS computational biology

PLoS Comput Biol. 2021 Jul 27;17(7):e1009139. doi: 10.1371/journal.pcbi.1009139. eCollection 2021 Jul.

ABSTRACT

Consciousness transiently fades away during deep sleep, more stably under anesthesia, and sometimes permanently due to brain injury. The development of an index to quantify the level of consciousness across these different states is regarded as a key problem both in basic and clinical neuroscience. We argue that this problem is ill-defined since such an index would not exhaust all the relevant information about a given state of consciousness. While the level of consciousness can be taken to describe the actual brain state, a complete characterization should also include its potential behavior against external perturbations. We developed and analyzed whole-brain computational models to show that the stability of conscious states provides information complementary to their similarity to conscious wakefulness. Our work leads to a novel methodological framework to sort out different brain states by their stability and reversibility, and illustrates its usefulness to dissociate between physiological (sleep), pathological (brain-injured patients), and pharmacologically-induced (anesthesia) loss of consciousness.

PMID:34314430 | PMC:PMC8315553 | DOI:10.1371/journal.pcbi.1009139

Authors

Yonatan Sanz Perl
Carla Pallavicini
Ignacio Pérez Ipiña
Athena Demertzi
Vincent Bonhomme
Charlotte Martial
Rajanikant Panda
Jitka Annen
Agustin Ibañez
Morten Kringelbach
Gustavo Deco
Helmut Laufs
Jacobo Sitt
Steven Laureys
Enzo Tagliazucchi