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A single session of exercise increases connectivity in sensorimotor-related brain networks: a resting-state fMRI study in young healthy adults

Overview of attention for article published in Frontiers in Human Neuroscience, August 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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1 news outlet
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4 blogs
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16 X users
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1 Google+ user

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198 Mendeley
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Title
A single session of exercise increases connectivity in sensorimotor-related brain networks: a resting-state fMRI study in young healthy adults
Published in
Frontiers in Human Neuroscience, August 2014
DOI 10.3389/fnhum.2014.00625
Pubmed ID
Authors

Ahmad S. Rajab, David E. Crane, Laura E. Middleton, Andrew D. Robertson, Michelle Hampson, Bradley J. MacIntosh

Abstract

Habitual long term physical activity is known to have beneficial cognitive, structural, and neuro-protective brain effects, but to date there is limited knowledge on whether a single session of exercise can alter the brain's functional connectivity, as assessed by resting-state functional magnetic resonance imaging (rs-fMRI). The primary objective of this study was to characterize potential session effects in resting-state networks (RSNs). We examined the acute effects of exercise on the functional connectivity of young healthy adults (N = 15) by collecting rs-fMRI before and after 20 min of moderate intensity aerobic exercise and compared this with a no-exercise control group (N = 15). Data were analyzed using independent component analysis, denoising and dual regression procedures. Regions of interest-based group session effect statistics were calculated in RSNs of interest using voxel-wise permutation testing and Cohen's D effect size. Group analysis in the exercising group data set revealed a session effect in sub-regions of three sensorimotor related areas: the pre and/or postcentral gyri, secondary somatosensory area and thalamus, characterized by increased co-activation after exercise (corrected p < 0.05). Cohen's D analysis also showed a significant effect of session in these three RSNs (p< 0.05), corroborating the voxel-wise findings. Analyses of the no-exercise dataset produced no significant results, thereby providing support for the exercise findings and establishing the inherent test-retest reliability of the analysis pipeline on the RSNs of interest. This study establishes the feasibility of rs-fMRI to localize brain regions that are associated with acute exercise, as well as an analysis consideration to improve sensitivity to a session effect.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Japan 2 1%
Germany 1 <1%
Canada 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Poland 1 <1%
Unknown 186 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 23%
Student > Master 33 17%
Researcher 31 16%
Student > Bachelor 23 12%
Student > Doctoral Student 14 7%
Other 26 13%
Unknown 26 13%
Readers by discipline Count As %
Neuroscience 47 24%
Medicine and Dentistry 29 15%
Psychology 25 13%
Sports and Recreations 17 9%
Agricultural and Biological Sciences 17 9%
Other 30 15%
Unknown 33 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 28 March 2023.
All research outputs
#875,700
of 24,963,265 outputs
Outputs from Frontiers in Human Neuroscience
#394
of 7,590 outputs
Outputs of similar age
#8,480
of 236,935 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#18
of 240 outputs
Altmetric has tracked 24,963,265 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,590 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done particularly well, scoring higher than 94% of its peers.
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 236,935 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 240 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.