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Visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis
Visual expertise reflects accumulated experience in reviewing domain-specific images and has been shown to modulate brain function in task-specific functional magnetic resonance imaging studies. However, little is known about how visual experience modulates resting-state brain network dynamics. To e...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229894/ https://www.ncbi.nlm.nih.gov/pubmed/37266545 http://dx.doi.org/10.3389/fnins.2023.1152619 |
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author | Wang, Hongmei Yao, Renhuan Zhang, Xiaoyan Chen, Chao Wu, Jia Dong, Minghao Jin, Chenwang |
author_facet | Wang, Hongmei Yao, Renhuan Zhang, Xiaoyan Chen, Chao Wu, Jia Dong, Minghao Jin, Chenwang |
author_sort | Wang, Hongmei |
collection | PubMed |
description | Visual expertise reflects accumulated experience in reviewing domain-specific images and has been shown to modulate brain function in task-specific functional magnetic resonance imaging studies. However, little is known about how visual experience modulates resting-state brain network dynamics. To explore this, we recruited 22 radiology interns and 22 matched healthy controls and used resting-state functional magnetic resonance imaging (rs-fMRI) and the degree centrality (DC) method to investigate changes in brain network dynamics. Our results revealed significant differences in DC between the RI and control group in brain regions associated with visual processing, decision making, memory, attention control, and working memory. Using a recursive feature elimination-support vector machine algorithm, we achieved a classification accuracy of 88.64%. Our findings suggest that visual experience modulates resting-state brain network dynamics in radiologists and provide new insights into the neural mechanisms of visual expertise. |
format | Online Article Text |
id | pubmed-10229894 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102298942023-06-01 Visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis Wang, Hongmei Yao, Renhuan Zhang, Xiaoyan Chen, Chao Wu, Jia Dong, Minghao Jin, Chenwang Front Neurosci Neuroscience Visual expertise reflects accumulated experience in reviewing domain-specific images and has been shown to modulate brain function in task-specific functional magnetic resonance imaging studies. However, little is known about how visual experience modulates resting-state brain network dynamics. To explore this, we recruited 22 radiology interns and 22 matched healthy controls and used resting-state functional magnetic resonance imaging (rs-fMRI) and the degree centrality (DC) method to investigate changes in brain network dynamics. Our results revealed significant differences in DC between the RI and control group in brain regions associated with visual processing, decision making, memory, attention control, and working memory. Using a recursive feature elimination-support vector machine algorithm, we achieved a classification accuracy of 88.64%. Our findings suggest that visual experience modulates resting-state brain network dynamics in radiologists and provide new insights into the neural mechanisms of visual expertise. Frontiers Media S.A. 2023-05-17 /pmc/articles/PMC10229894/ /pubmed/37266545 http://dx.doi.org/10.3389/fnins.2023.1152619 Text en Copyright © 2023 Wang, Yao, Zhang, Chen, Wu, Dong and Jin. https://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 Wang, Hongmei Yao, Renhuan Zhang, Xiaoyan Chen, Chao Wu, Jia Dong, Minghao Jin, Chenwang Visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis |
title | Visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis |
title_full | Visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis |
title_fullStr | Visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis |
title_full_unstemmed | Visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis |
title_short | Visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis |
title_sort | visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229894/ https://www.ncbi.nlm.nih.gov/pubmed/37266545 http://dx.doi.org/10.3389/fnins.2023.1152619 |
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