↓ Skip to main content

Awake whole-brain functional connectivity alterations in the adolescent spontaneously hypertensive rat feature visual streams and striatal networks

Overview of attention for article published in Brain Structure and Function, September 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
32 Mendeley
Title
Awake whole-brain functional connectivity alterations in the adolescent spontaneously hypertensive rat feature visual streams and striatal networks
Published in
Brain Structure and Function, September 2016
DOI 10.1007/s00429-016-1301-2
Pubmed ID
Authors

G. L. Poirier, W. Huang, K. Tam, J. R. DiFranza, Jean A. King

Abstract

Brain mechanisms underpinning attention deficit/hyperactivity disorder (ADHD) are incompletely understood. The adolescent spontaneously hypertensive rat (SHR) is a widely studied preclinical model that expresses several of the key behavioral features associated with ADHD. Yet, little is known about large-scale functional connectivity patterns in the SHR, and their potential similarity to those of humans with ADHD. Using an approach comparable to human studies, magnetic resonance imaging in the awake animal was performed to identify whole-brain intrinsic neural connectivity patterns. An independent components analysis of resting-state functional connectivity demonstrated many common components between the SHR and both Wistar Kyoto and Sprague-Dawley control strains, but there was a divergence in other networks. In the SHR, three functional networks involving the striatum had only weak correlations with networks in the two control strains. Conversely, networks involving the visual cortex that was present in both control strains had only weak correlations with networks in the SHR. The implication is that the patterns of brain activity differ between the SHR and the other strains, suggesting that brain connectivity patterns in this animal model of ADHD may provide insights into the neural basis of ADHD. Brain connectivity patterns might also serve to identify brain circuits that could be targeted for the manipulation and evaluation of potential therapeutic options.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 22%
Student > Ph. D. Student 6 19%
Student > Master 4 13%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Other 2 6%
Unknown 8 25%
Readers by discipline Count As %
Neuroscience 10 31%
Agricultural and Biological Sciences 3 9%
Engineering 3 9%
Psychology 2 6%
Physics and Astronomy 1 3%
Other 3 9%
Unknown 10 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 October 2016.
All research outputs
#14,758,607
of 24,217,893 outputs
Outputs from Brain Structure and Function
#819
of 1,725 outputs
Outputs of similar age
#181,780
of 327,541 outputs
Outputs of similar age from Brain Structure and Function
#15
of 38 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,725 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 51% 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 327,541 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.