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Consciousness can be defined as the state of being aware of and able to think about one's existence, sensations, and surroundings. It encompasses two major components: awareness and arousal. Awareness pertains to the recognition of environmental stimuli and internal states. At the same time, arousal refers to the physiological readiness to engage with these stimuli, which varies significantly between states like sleep and wakefulness.
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Related Experiment Video

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3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

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Untangling Brain-Wide Dynamics in Consciousness by Cross-Embedding.

Satohiro Tajima^1,2, Toru Yanagawa¹, Naotaka Fujii¹

¹RIKEN Brain Science Institute, Hirosawa, Wako, Saitama, Japan.

Plos Computational Biology

|November 20, 2015

Summary

A new method analyzes complex brain dynamics and interactions, revealing a hierarchy of brain areas linked to consciousness. This approach enhances understanding of neural systems and cognitive functions.

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Area of Science:

Neuroscience
Complex Systems Science

Background:

Complex neural dynamics are vital for cognition, but nonlinear interactions challenge traditional analysis.
Understanding brain-wide interactions is key to emergent cognitive functions.

Purpose of the Study:

Introduce a model-free method for characterizing local dynamics, directed interactions, and their complexity generation.
Apply this method to large-scale electrophysiological recordings to analyze brain states.

Main Methods:

Utilized embedding theorems in nonlinear state-space reconstruction.
Developed a cross-embedding method for simultaneous characterization of complexity and interactions.
Analyzed electrophysiological recordings from awake and anesthetized monkeys.

Main Results:

The cross-embedding method identified structured interactions missed by correlation-based analyses.
Revealed a consciousness-related hierarchy of cortical areas.
Demonstrated increased dynamical complexity with cross-area information flow.

Conclusions:

The cross-embedding method effectively deciphers large-scale neuronal systems.
Sensory-frontoparietal interactions significantly contribute to complex brain dynamics during consciousness.