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Large-scale functional brain networks for consciousness
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....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Association of Anatomists
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225483/ https://www.ncbi.nlm.nih.gov/pubmed/33967030 http://dx.doi.org/10.5115/acb.20.305 |
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author | Han, Myoung-Eun Park, Si-Young Oh, Sae-Ock |
author_facet | Han, Myoung-Eun Park, Si-Young Oh, Sae-Ock |
author_sort | Han, Myoung-Eun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8225483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Korean Association of Anatomists |
record_format | MEDLINE/PubMed |
spelling | pubmed-82254832021-07-07 Large-scale functional brain networks for consciousness Han, Myoung-Eun Park, Si-Young Oh, Sae-Ock Anat Cell Biol Review Article 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. Korean Association of Anatomists 2021-06-30 2021-06-30 /pmc/articles/PMC8225483/ /pubmed/33967030 http://dx.doi.org/10.5115/acb.20.305 Text en Copyright © 2021. Anatomy & Cell Biology https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Han, Myoung-Eun Park, Si-Young Oh, Sae-Ock Large-scale functional brain networks for consciousness |
title | Large-scale functional brain networks for consciousness |
title_full | Large-scale functional brain networks for consciousness |
title_fullStr | Large-scale functional brain networks for consciousness |
title_full_unstemmed | Large-scale functional brain networks for consciousness |
title_short | Large-scale functional brain networks for consciousness |
title_sort | large-scale functional brain networks for consciousness |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225483/ https://www.ncbi.nlm.nih.gov/pubmed/33967030 http://dx.doi.org/10.5115/acb.20.305 |
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