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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Detalles 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 recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/228146
Acceso en línea:http://hdl.handle.net/11336/228146
Access Level:acceso abierto
Palabra clave: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
Descripción
Sumario: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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