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The human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis
Higher-order cognition emerges through the flexible interactions of large-scale brain networks, an aspect of temporal coordination that may be impaired in psychosis. Here, we map the dynamic functional architecture of the cerebral cortex in healthy young adults, leveraging this atlas of transient ne...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5861099/ https://www.ncbi.nlm.nih.gov/pubmed/29559638 http://dx.doi.org/10.1038/s41467-018-03462-y |
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author | Reinen, Jenna M. Chén, Oliver Y. Hutchison, R. Matthew Yeo, B. T. Thomas Anderson, Kevin M. Sabuncu, Mert R. Öngür, Dost Roffman, Joshua L. Smoller, Jordan W. Baker, Justin T. Holmes, Avram J. |
author_facet | Reinen, Jenna M. Chén, Oliver Y. Hutchison, R. Matthew Yeo, B. T. Thomas Anderson, Kevin M. Sabuncu, Mert R. Öngür, Dost Roffman, Joshua L. Smoller, Jordan W. Baker, Justin T. Holmes, Avram J. |
author_sort | Reinen, Jenna M. |
collection | PubMed |
description | Higher-order cognition emerges through the flexible interactions of large-scale brain networks, an aspect of temporal coordination that may be impaired in psychosis. Here, we map the dynamic functional architecture of the cerebral cortex in healthy young adults, leveraging this atlas of transient network configurations (states), to identify state- and network-specific disruptions in patients with schizophrenia and psychotic bipolar disorder. We demonstrate that dynamic connectivity profiles are reliable within participants, and can act as a fingerprint, identifying specific individuals within a larger group. Patients with psychotic illness exhibit intermittent disruptions within cortical networks previously associated with the disease, and the individual connectivity profiles within specific brain states predict the presence of active psychotic symptoms. Taken together, these results provide evidence for a reconfigurable dynamic architecture in the general population and suggest that prior reports of network disruptions in psychosis may reflect symptom-relevant transient abnormalities, rather than a time-invariant global deficit. |
format | Online Article Text |
id | pubmed-5861099 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58610992018-03-22 The human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis Reinen, Jenna M. Chén, Oliver Y. Hutchison, R. Matthew Yeo, B. T. Thomas Anderson, Kevin M. Sabuncu, Mert R. Öngür, Dost Roffman, Joshua L. Smoller, Jordan W. Baker, Justin T. Holmes, Avram J. Nat Commun Article Higher-order cognition emerges through the flexible interactions of large-scale brain networks, an aspect of temporal coordination that may be impaired in psychosis. Here, we map the dynamic functional architecture of the cerebral cortex in healthy young adults, leveraging this atlas of transient network configurations (states), to identify state- and network-specific disruptions in patients with schizophrenia and psychotic bipolar disorder. We demonstrate that dynamic connectivity profiles are reliable within participants, and can act as a fingerprint, identifying specific individuals within a larger group. Patients with psychotic illness exhibit intermittent disruptions within cortical networks previously associated with the disease, and the individual connectivity profiles within specific brain states predict the presence of active psychotic symptoms. Taken together, these results provide evidence for a reconfigurable dynamic architecture in the general population and suggest that prior reports of network disruptions in psychosis may reflect symptom-relevant transient abnormalities, rather than a time-invariant global deficit. Nature Publishing Group UK 2018-03-20 /pmc/articles/PMC5861099/ /pubmed/29559638 http://dx.doi.org/10.1038/s41467-018-03462-y Text en © The Author(s) 2018 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 Reinen, Jenna M. Chén, Oliver Y. Hutchison, R. Matthew Yeo, B. T. Thomas Anderson, Kevin M. Sabuncu, Mert R. Öngür, Dost Roffman, Joshua L. Smoller, Jordan W. Baker, Justin T. Holmes, Avram J. The human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis |
title | The human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis |
title_full | The human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis |
title_fullStr | The human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis |
title_full_unstemmed | The human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis |
title_short | The human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis |
title_sort | human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5861099/ https://www.ncbi.nlm.nih.gov/pubmed/29559638 http://dx.doi.org/10.1038/s41467-018-03462-y |
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