title: Untangling Brain-Wide Dynamics in Consciousness by Cross-Embedding.
abstract: Brain-wide interactions generating complex neural dynamics are considered crucial for emergent cognitive functions. However, the irreducible nature of nonlinear and high-dimensional dynamical interactions challenges conventional reductionist approaches. We introduce a model-free method, based on embedding theorems in nonlinear state-space reconstruction, that permits a simultaneous characterization of complexity in local dynamics, directed interactions between brain areas, and how the complexity is produced by the interactions. We demonstrate this method in large-scale electrophysiological recordings from awake and anesthetized monkeys. The cross-embedding method captures structured interaction underlying cortex-wide dynamics that may be missed by conventional correlation-based analysis, demonstrating a critical role of time-series analysis in characterizing brain state. The method reveals a consciousness-related hierarchy of cortical areas, where dynamical complexity increases along with cross-area information flow. These findings demonstrate the advantages of the cross-embedding method in deciphering large-scale and heterogeneous neuronal systems, suggesting a crucial contribution by sensory-frontoparietal interactions to the emergence of complex brain dynamics during consciousness.
authors.affiliation: RIKEN Brain Science Institute, Hirosawa, Wako, Saitama, Japan.|Department of Neuroscience, University of Geneva, CMU, Genève, Switzerland.
authors.forename: Satohiro
authors.initials: S
authors.lastname: Tajima
authors.affiliation: RIKEN Brain Science Institute, Hirosawa, Wako, Saitama, Japan.
authors.forename: Toru
authors.initials: T
authors.lastname: Yanagawa
authors.affiliation: RIKEN Brain Science Institute, Hirosawa, Wako, Saitama, Japan.
authors.forename: Naotaka
authors.initials: N
authors.lastname: Fujii
authors.affiliation: RIKEN Brain Science Institute, Hirosawa, Wako, Saitama, Japan.|Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Midori-ku, Yokohama, Kanagawa, Japan.
authors.forename: Taro
authors.initials: T
authors.lastname: Toyoizumi
mesh_terms: D000465:Algorithms; D000818:Animals; D001921:Brain / Q000502:physiology*; D019295:Computational Biology; D003243:Consciousness / Q000502:physiology*; D004569:Electroencephalography; D008251:Macaca; D014851:Wakefulness / Q000502:physiology*