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Frontiers in Neuroscience
Article . 2023 . Peer-reviewed
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Frontiers in Neuroscience
Article . 2023
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Visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis

Authors: Hongmei Wang; Hongmei Wang; Renhuan Yao; Xiaoyan Zhang; Chao Chen; Jia Wu; Minghao Dong; +2 Authors

Visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis

Abstract

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.

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Keywords

visual expertise, degree centrality, support vector machine, Neurosciences. Biological psychiatry. Neuropsychiatry, radiologist, object recognition, RC321-571, Neuroscience

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
gold
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