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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...

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Autores principales: Zhang, Wenhai, Chen, Jing, Ren, Guofang, Tang, Fanggui, Liu, Qiang, Li, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
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.
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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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