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Gender Differences in Global Functional Connectivity During Facial Emotion Processing: A Visual MMN Study
To investigate gender differences in functional connectivity during the unattended processing of facial expressions, we recorded visual mismatch negativity (vMMN) in 34 adults using a deviant-standard reverse oddball paradigm. Using wavelet analysis, we calculated the time-frequency (TF) power at ea...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167960/ https://www.ncbi.nlm.nih.gov/pubmed/30319370 http://dx.doi.org/10.3389/fnbeh.2018.00220 |
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author | Zhang, Jian Dong, Xiaonan Wang, Luyao Zhao, Lun Weng, Zizheng Zhang, Tianyu Sui, Junyu Go, Ritsu Huang, Qiang Wu, Jinglong Yan, Tianyi |
author_facet | Zhang, Jian Dong, Xiaonan Wang, Luyao Zhao, Lun Weng, Zizheng Zhang, Tianyu Sui, Junyu Go, Ritsu Huang, Qiang Wu, Jinglong Yan, Tianyi |
author_sort | Zhang, Jian |
collection | PubMed |
description | To investigate gender differences in functional connectivity during the unattended processing of facial expressions, we recorded visual mismatch negativity (vMMN) in 34 adults using a deviant-standard reverse oddball paradigm. Using wavelet analysis, we calculated the time-frequency (TF) power at each electrode associated with happy-deviant, sad-deviant, happy-standard and sad-standard conditions. We also calculated the phase lag index (PLI) between electrode pairs and analyzed the dynamic network topologies of the functional connectivity for happy and sad vMMNs in the delta (0.5–4 Hz), theta (4–8 Hz), alpha (8–13 Hz), beta (13–30 Hz) and gamma (30–45 Hz) bands. The results showed that females induced stronger TF power and PLI values than males in only the alpha band over the whole brain regarding the vMMN. Moreover, females had a higher ratio of the number of connections between long-distance electrode pairs than males. While theoretical analysis of dynamic network topologies indicated that high node degree values were found in local brain regions of males and in almost the entire female brain, our findings suggested that female brain activation and connections between brain regions are not only stronger but also more widely distributed during the unattended processing of facial expressions than those in males. |
format | Online Article Text |
id | pubmed-6167960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61679602018-10-12 Gender Differences in Global Functional Connectivity During Facial Emotion Processing: A Visual MMN Study Zhang, Jian Dong, Xiaonan Wang, Luyao Zhao, Lun Weng, Zizheng Zhang, Tianyu Sui, Junyu Go, Ritsu Huang, Qiang Wu, Jinglong Yan, Tianyi Front Behav Neurosci Neuroscience To investigate gender differences in functional connectivity during the unattended processing of facial expressions, we recorded visual mismatch negativity (vMMN) in 34 adults using a deviant-standard reverse oddball paradigm. Using wavelet analysis, we calculated the time-frequency (TF) power at each electrode associated with happy-deviant, sad-deviant, happy-standard and sad-standard conditions. We also calculated the phase lag index (PLI) between electrode pairs and analyzed the dynamic network topologies of the functional connectivity for happy and sad vMMNs in the delta (0.5–4 Hz), theta (4–8 Hz), alpha (8–13 Hz), beta (13–30 Hz) and gamma (30–45 Hz) bands. The results showed that females induced stronger TF power and PLI values than males in only the alpha band over the whole brain regarding the vMMN. Moreover, females had a higher ratio of the number of connections between long-distance electrode pairs than males. While theoretical analysis of dynamic network topologies indicated that high node degree values were found in local brain regions of males and in almost the entire female brain, our findings suggested that female brain activation and connections between brain regions are not only stronger but also more widely distributed during the unattended processing of facial expressions than those in males. Frontiers Media S.A. 2018-09-25 /pmc/articles/PMC6167960/ /pubmed/30319370 http://dx.doi.org/10.3389/fnbeh.2018.00220 Text en Copyright © 2018 Zhang, Dong, Wang, Zhao, Weng, Zhang, Sui, Go, Huang, Wu and Yan. 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, Jian Dong, Xiaonan Wang, Luyao Zhao, Lun Weng, Zizheng Zhang, Tianyu Sui, Junyu Go, Ritsu Huang, Qiang Wu, Jinglong Yan, Tianyi Gender Differences in Global Functional Connectivity During Facial Emotion Processing: A Visual MMN Study |
title | Gender Differences in Global Functional Connectivity During Facial Emotion Processing: A Visual MMN Study |
title_full | Gender Differences in Global Functional Connectivity During Facial Emotion Processing: A Visual MMN Study |
title_fullStr | Gender Differences in Global Functional Connectivity During Facial Emotion Processing: A Visual MMN Study |
title_full_unstemmed | Gender Differences in Global Functional Connectivity During Facial Emotion Processing: A Visual MMN Study |
title_short | Gender Differences in Global Functional Connectivity During Facial Emotion Processing: A Visual MMN Study |
title_sort | gender differences in global functional connectivity during facial emotion processing: a visual mmn study |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167960/ https://www.ncbi.nlm.nih.gov/pubmed/30319370 http://dx.doi.org/10.3389/fnbeh.2018.00220 |
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