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SCOPUS 학술저널

Large-scale functional brain networks for consciousness

  • 2

The generation and maintenance of consciousness are fundamental but difficult subjects in the fields of psychology, philosophy, neuroscience, and medicine. However, recent developments in neuro-imaging techniques coupled with network analysis have greatly advanced our understanding of consciousness. The present review focuses on large-scale functional brain networks based on neuro-imaging data to explain the awareness (contents) and wakefulness of consciousness. Despite limitations, neuroimaging data suggests brain maps for important psychological and cognitive processes such as attention, language, self-referential, emotion, motivation, social behavior, and wakefulness. We considered a review of these advancements would provide new insights into research on the neural correlates of consciousness.

Introduction

Attention Network

Language Network

Default Mode Network

Wakefulness Network

Interaction between Horizontal and Vertical Connectivity

Future Direction

Author Contributions

Conflicts of Interest

Acknowledgements

References

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