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A framework to quantify controlled directed interactions in network physiology applied to cognitive function assessment
The complex nature of physiological systems where multiple organs interact to form a network is complicated by direct and indirect interactions, with varying strength and direction of influence. This study proposes a novel framework which quantifies directional and pairwise couplings, while controll...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595120/ https://www.ncbi.nlm.nih.gov/pubmed/33116182 http://dx.doi.org/10.1038/s41598-020-75466-y |
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author | Marzbanrad, Faezeh Yaghmaie, Negin Jelinek, Herbert F. |
author_facet | Marzbanrad, Faezeh Yaghmaie, Negin Jelinek, Herbert F. |
author_sort | Marzbanrad, Faezeh |
collection | PubMed |
description | The complex nature of physiological systems where multiple organs interact to form a network is complicated by direct and indirect interactions, with varying strength and direction of influence. This study proposes a novel framework which quantifies directional and pairwise couplings, while controlling for the effect of indirect interactions. Simulation results confirm the superiority of this framework in uncovering directional primary links compared to previous published methods. In a practical application of cognitive attention and alertness tasks, the method was used to assess controlled directed interactions between the cardiac, respiratory and brain activities (prefrontal cortex). It revealed increased interactions during the alertness task between brain wave activity on the left side of the brain with heart rate and respiration compared to resting phases. During the attention task, an increased number of right brain wave interactions involving respiration was also observed compared to rest, in addition to left brain wave activity with heart rate. The proposed framework potentially assesses directional interactions in complex network physiology and may detect cognitive dysfunctions associated with altered network physiology. |
format | Online Article Text |
id | pubmed-7595120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75951202020-10-29 A framework to quantify controlled directed interactions in network physiology applied to cognitive function assessment Marzbanrad, Faezeh Yaghmaie, Negin Jelinek, Herbert F. Sci Rep Article The complex nature of physiological systems where multiple organs interact to form a network is complicated by direct and indirect interactions, with varying strength and direction of influence. This study proposes a novel framework which quantifies directional and pairwise couplings, while controlling for the effect of indirect interactions. Simulation results confirm the superiority of this framework in uncovering directional primary links compared to previous published methods. In a practical application of cognitive attention and alertness tasks, the method was used to assess controlled directed interactions between the cardiac, respiratory and brain activities (prefrontal cortex). It revealed increased interactions during the alertness task between brain wave activity on the left side of the brain with heart rate and respiration compared to resting phases. During the attention task, an increased number of right brain wave interactions involving respiration was also observed compared to rest, in addition to left brain wave activity with heart rate. The proposed framework potentially assesses directional interactions in complex network physiology and may detect cognitive dysfunctions associated with altered network physiology. Nature Publishing Group UK 2020-10-28 /pmc/articles/PMC7595120/ /pubmed/33116182 http://dx.doi.org/10.1038/s41598-020-75466-y Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Marzbanrad, Faezeh Yaghmaie, Negin Jelinek, Herbert F. A framework to quantify controlled directed interactions in network physiology applied to cognitive function assessment |
title | A framework to quantify controlled directed interactions in network physiology applied to cognitive function assessment |
title_full | A framework to quantify controlled directed interactions in network physiology applied to cognitive function assessment |
title_fullStr | A framework to quantify controlled directed interactions in network physiology applied to cognitive function assessment |
title_full_unstemmed | A framework to quantify controlled directed interactions in network physiology applied to cognitive function assessment |
title_short | A framework to quantify controlled directed interactions in network physiology applied to cognitive function assessment |
title_sort | framework to quantify controlled directed interactions in network physiology applied to cognitive function assessment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595120/ https://www.ncbi.nlm.nih.gov/pubmed/33116182 http://dx.doi.org/10.1038/s41598-020-75466-y |
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