Low-dimensional organization of global brain states of reduced consciousness.

ABSTRACT: 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-fun

SUBMITTER: Perl YS 

PROVIDER: S-EPMC11220841 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature