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Negatively Linking Connector Networks in Cognitive Control of Affective Pictures
Cognitive control of emotions depends on intermodular long-distance communications. However, negative connections between connector hubs are removed by traditional hard-thresholding approach in graph-theoretical research. Using soft-thresholding approach to reserve negative links, we explore time-va...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823191/ https://www.ncbi.nlm.nih.gov/pubmed/31708720 http://dx.doi.org/10.3389/fnins.2019.01069 |
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author | Zhang, Wenhai Chen, Jing Ren, Guofang Tang, Fanggui Liu, Qiang Li, Hong |
author_facet | Zhang, Wenhai Chen, Jing Ren, Guofang Tang, Fanggui Liu, Qiang Li, Hong |
author_sort | Zhang, Wenhai |
collection | PubMed |
description | Cognitive control of emotions depends on intermodular long-distance communications. However, negative connections between connector hubs are removed by traditional hard-thresholding approach in graph-theoretical research. Using soft-thresholding approach to reserve negative links, we explore time-varying features of connector hubs in intermodular communications during cognitive control of affective pictures. We develop a novel approach to sparse functional networks and construct negatively linking connector networks for positive, negative, and neutral pictures. We find that consisting of flexible hubs, the frontoparietal system dynamically top–down inhibits neural activities through negative connections from the salience subnetwork and visual processing area. Moreover, the shared connectors form functional backbones that dynamically reconfigure according to differently-valenced pictures in order to coordinate both stability and flexibility of cognitive connector networks. These results reveal the necessity of conserving negative links between intermodular communications in chronnectome research and deepen the understanding of how connector networks dynamically evolute during cognitive control of affective processing. |
format | Online Article Text |
id | pubmed-6823191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68231912019-11-08 Negatively Linking Connector Networks in Cognitive Control of Affective Pictures Zhang, Wenhai Chen, Jing Ren, Guofang Tang, Fanggui Liu, Qiang Li, Hong Front Neurosci Neuroscience Cognitive control of emotions depends on intermodular long-distance communications. However, negative connections between connector hubs are removed by traditional hard-thresholding approach in graph-theoretical research. Using soft-thresholding approach to reserve negative links, we explore time-varying features of connector hubs in intermodular communications during cognitive control of affective pictures. We develop a novel approach to sparse functional networks and construct negatively linking connector networks for positive, negative, and neutral pictures. We find that consisting of flexible hubs, the frontoparietal system dynamically top–down inhibits neural activities through negative connections from the salience subnetwork and visual processing area. Moreover, the shared connectors form functional backbones that dynamically reconfigure according to differently-valenced pictures in order to coordinate both stability and flexibility of cognitive connector networks. These results reveal the necessity of conserving negative links between intermodular communications in chronnectome research and deepen the understanding of how connector networks dynamically evolute during cognitive control of affective processing. Frontiers Media S.A. 2019-10-25 /pmc/articles/PMC6823191/ /pubmed/31708720 http://dx.doi.org/10.3389/fnins.2019.01069 Text en Copyright © 2019 Zhang, Chen, Ren, Tang, Liu and Li. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Zhang, Wenhai Chen, Jing Ren, Guofang Tang, Fanggui Liu, Qiang Li, Hong Negatively Linking Connector Networks in Cognitive Control of Affective Pictures |
title | Negatively Linking Connector Networks in Cognitive Control of Affective Pictures |
title_full | Negatively Linking Connector Networks in Cognitive Control of Affective Pictures |
title_fullStr | Negatively Linking Connector Networks in Cognitive Control of Affective Pictures |
title_full_unstemmed | Negatively Linking Connector Networks in Cognitive Control of Affective Pictures |
title_short | Negatively Linking Connector Networks in Cognitive Control of Affective Pictures |
title_sort | negatively linking connector networks in cognitive control of affective pictures |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823191/ https://www.ncbi.nlm.nih.gov/pubmed/31708720 http://dx.doi.org/10.3389/fnins.2019.01069 |
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