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Consciousness-specific dynamic interactions of brain integration and functional diversity
Prominent theories of consciousness emphasise different aspects of neurobiology, such as the integration and diversity of information processing within the brain. Here, we combine graph theory and dynamic functional connectivity to compare resting-state functional MRI data from awake volunteers, pro...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787094/ https://www.ncbi.nlm.nih.gov/pubmed/31601811 http://dx.doi.org/10.1038/s41467-019-12658-9 |
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author | Luppi, Andrea I. Craig, Michael M. Pappas, Ioannis Finoia, Paola Williams, Guy B. Allanson, Judith Pickard, John D. Owen, Adrian M. Naci, Lorina Menon, David K. Stamatakis, Emmanuel A. |
author_facet | Luppi, Andrea I. Craig, Michael M. Pappas, Ioannis Finoia, Paola Williams, Guy B. Allanson, Judith Pickard, John D. Owen, Adrian M. Naci, Lorina Menon, David K. Stamatakis, Emmanuel A. |
author_sort | Luppi, Andrea I. |
collection | PubMed |
description | Prominent theories of consciousness emphasise different aspects of neurobiology, such as the integration and diversity of information processing within the brain. Here, we combine graph theory and dynamic functional connectivity to compare resting-state functional MRI data from awake volunteers, propofol-anaesthetised volunteers, and patients with disorders of consciousness, in order to identify consciousness-specific patterns of brain function. We demonstrate that cortical networks are especially affected by loss of consciousness during temporal states of high integration, exhibiting reduced functional diversity and compromised informational capacity, whereas thalamo-cortical functional disconnections emerge during states of higher segregation. Spatially, posterior regions of the brain’s default mode network exhibit reductions in both functional diversity and integration with the rest of the brain during unconsciousness. These results show that human consciousness relies on spatio-temporal interactions between brain integration and functional diversity, whose breakdown may represent a generalisable biomarker of loss of consciousness, with potential relevance for clinical practice. |
format | Online Article Text |
id | pubmed-6787094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67870942019-10-15 Consciousness-specific dynamic interactions of brain integration and functional diversity Luppi, Andrea I. Craig, Michael M. Pappas, Ioannis Finoia, Paola Williams, Guy B. Allanson, Judith Pickard, John D. Owen, Adrian M. Naci, Lorina Menon, David K. Stamatakis, Emmanuel A. Nat Commun Article Prominent theories of consciousness emphasise different aspects of neurobiology, such as the integration and diversity of information processing within the brain. Here, we combine graph theory and dynamic functional connectivity to compare resting-state functional MRI data from awake volunteers, propofol-anaesthetised volunteers, and patients with disorders of consciousness, in order to identify consciousness-specific patterns of brain function. We demonstrate that cortical networks are especially affected by loss of consciousness during temporal states of high integration, exhibiting reduced functional diversity and compromised informational capacity, whereas thalamo-cortical functional disconnections emerge during states of higher segregation. Spatially, posterior regions of the brain’s default mode network exhibit reductions in both functional diversity and integration with the rest of the brain during unconsciousness. These results show that human consciousness relies on spatio-temporal interactions between brain integration and functional diversity, whose breakdown may represent a generalisable biomarker of loss of consciousness, with potential relevance for clinical practice. Nature Publishing Group UK 2019-10-10 /pmc/articles/PMC6787094/ /pubmed/31601811 http://dx.doi.org/10.1038/s41467-019-12658-9 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Luppi, Andrea I. Craig, Michael M. Pappas, Ioannis Finoia, Paola Williams, Guy B. Allanson, Judith Pickard, John D. Owen, Adrian M. Naci, Lorina Menon, David K. Stamatakis, Emmanuel A. Consciousness-specific dynamic interactions of brain integration and functional diversity |
title | Consciousness-specific dynamic interactions of brain integration and functional diversity |
title_full | Consciousness-specific dynamic interactions of brain integration and functional diversity |
title_fullStr | Consciousness-specific dynamic interactions of brain integration and functional diversity |
title_full_unstemmed | Consciousness-specific dynamic interactions of brain integration and functional diversity |
title_short | Consciousness-specific dynamic interactions of brain integration and functional diversity |
title_sort | consciousness-specific dynamic interactions of brain integration and functional diversity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787094/ https://www.ncbi.nlm.nih.gov/pubmed/31601811 http://dx.doi.org/10.1038/s41467-019-12658-9 |
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