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Morphological and Functional Differences between Athletes and Novices in Cortical Neuronal Networks

Overview of attention for article published in Frontiers in Human Neuroscience, January 2017
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Title
Morphological and Functional Differences between Athletes and Novices in Cortical Neuronal Networks
Published in
Frontiers in Human Neuroscience, January 2017
DOI 10.3389/fnhum.2016.00660
Pubmed ID
Authors

Xiao-Ying Tan, Yan-Ling Pi, Jue Wang, Xue-Pei Li, Lan-Lan Zhang, Wen Dai, Hua Zhu, Zhen Ni, Jian Zhang, Yin Wu

Abstract

The cortical structural and functional differences in athletes and novices were investigated with a cross-sectional paradigm. We measured the gray matter volumes and resting-state functional connectivity in 21 basketball players and 21 novices with magnetic resonance imaging (MRI) techniques. It was found that gray matter volume in the left anterior insula (AI), inferior frontal gyrus (IFG), inferior parietal lobule (IPL) and right anterior cingulate cortex (ACC), precuneus is greater in basketball players than that in novices. These five brain regions were selected as the seed regions for testing the resting-state functional connectivity in the second experiment. We found higher functional connectivity in default mode network, salience network and executive control network in basketball players compared to novices. We conclude that the morphology and functional connectivity in cortical neuronal networks in athletes and novices are different.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 15%
Student > Master 10 15%
Student > Doctoral Student 6 9%
Student > Bachelor 5 7%
Researcher 4 6%
Other 7 10%
Unknown 26 38%
Readers by discipline Count As %
Psychology 12 18%
Sports and Recreations 10 15%
Neuroscience 8 12%
Agricultural and Biological Sciences 2 3%
Computer Science 1 1%
Other 5 7%
Unknown 30 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 January 2017.
All research outputs
#18,490,948
of 22,912,409 outputs
Outputs from Frontiers in Human Neuroscience
#6,083
of 7,175 outputs
Outputs of similar age
#310,770
of 420,993 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#155
of 177 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,175 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 420,993 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 177 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.