Low-dimensional organization of global brain states of reduced consciousness

Brain states are frequently represented using a unidimensional scale measuring the richness of subjective experience (level of consciousness). This description assumes a mapping between the high-dimensional space of whole-brain configurations and the trajectories of brain states associated with chan...

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Detalhes bibliográficos
Autores: Sanz Perl Hernandez, Yonatan, Pallavicini, Carla, Piccinini, Juan Ignacio, Demertzi, Athena, Bonhomme, Vincent, Martial, Charlotte, Panda, Rajanikant, Alnagger, Naji, Annen, Jitka, Gosseries, Olivia, Ibañez, Agustina, Laufs, Helmut, Sitt, Jacobo D., Jirsa, Viktor K., Kringelbach, Morten L., Laureys, Steven, Deco, Gustavo, Tagliazucchi, Enzo Rodolfo
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2023
País:Argentina
Recursos:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositório:CONICET Digital (CONICET)
Idioma:inglês
OAI Identifier:oai:ri.conicet.gov.ar:11336/228146
Acesso em linha:http://hdl.handle.net/11336/228146
Access Level:Acceso aberto
Palavra-chave:CP: NEUROSCIENCE
DEEP LEARNING
FMRI
LOW-DIMENSIONAL BRAIN DYNAMICS
REDUCED CONSCIOUSNESS
VARIATIONAL AUTOENCODERS
WHOLE-BRAIN MODELING
https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
Descrição
Resumo:Brain states are frequently represented using a unidimensional scale measuring the richness of subjective experience (level of consciousness). This description assumes a mapping between the high-dimensional space of whole-brain configurations and the trajectories of brain states associated with changes in consciousness, yet this mapping and its properties remain unclear. We combine whole-brain modeling, data augmentation, and deep learning for dimensionality reduction to determine a mapping representing states of consciousness in a low-dimensional space, where distances parallel similarities between states. An orderly trajectory from wakefulness to patients with brain injury is revealed in a latent space whose coordinates represent metrics related to functional modularity and structure-function coupling, increasing alongside loss of consciousness. Finally, we investigate the effects of model perturbations, providing geometrical interpretation for the stability and reversibility of states. We conclude that conscious awareness depends on functional patterns encoded as a low-dimensional trajectory within the vast space of brain configurations.

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