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Predictable enriched environment prevents development of hyper-emotionality in the VPA rat model of autism

Overview of attention for article published in Frontiers in Neuroscience, June 2015
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
twitter
37 X users
facebook
9 Facebook pages
googleplus
1 Google+ user

Citations

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25 Dimensions

Readers on

mendeley
162 Mendeley
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Title
Predictable enriched environment prevents development of hyper-emotionality in the VPA rat model of autism
Published in
Frontiers in Neuroscience, June 2015
DOI 10.3389/fnins.2015.00127
Pubmed ID
Authors

Mônica R. Favre, Deborah La Mendola, Julie Meystre, Dimitri Christodoulou, Melissa J. Cochrane, Henry Markram, Kamila Markram

Abstract

Understanding the effects of environmental stimulation in autism can improve therapeutic interventions against debilitating sensory overload, social withdrawal, fear and anxiety. Here, we evaluate the role of environmental predictability on behavior and protein expression, and inter-individual differences, in the valproic acid (VPA) model of autism. Male rats embryonically exposed (E11.5) either to VPA, a known autism risk factor in humans, or to saline, were housed from weaning into adulthood in a standard laboratory environment, an unpredictably enriched environment, or a predictably enriched environment. Animals were tested for sociability, nociception, stereotypy, fear conditioning and anxiety, and for tissue content of glutamate signaling proteins in the primary somatosensory cortex, hippocampus and amygdala, and of corticosterone in plasma, amygdala and hippocampus. Standard group analyses on separate measures were complemented with a composite emotionality score, using Cronbach's Alpha analysis, and with multivariate profiling of individual animals, using Hierarchical Cluster Analysis. We found that predictable environmental enrichment prevented the development of hyper-emotionality in the VPA-exposed group, while unpredictable enrichment did not. Individual variation in the severity of the autistic-like symptoms (fear, anxiety, social withdrawal and sensory abnormalities) correlated with neurochemical profiles, and predicted their responsiveness to predictability in the environment. In controls, the association between socio-affective behaviors, neurochemical profiles and environmental predictability was negligible. This study suggests that rearing in a predictable environment prevents the development of hyper-emotional features in animals exposed to an autism risk factor, and demonstrates that unpredictable environments can lead to negative outcomes, even in the presence of environmental enrichment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 37 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 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Hong Kong 1 <1%
France 1 <1%
Canada 1 <1%
Unknown 156 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 17%
Researcher 28 17%
Student > Bachelor 27 17%
Student > Master 19 12%
Student > Doctoral Student 10 6%
Other 25 15%
Unknown 25 15%
Readers by discipline Count As %
Psychology 40 25%
Neuroscience 34 21%
Agricultural and Biological Sciences 15 9%
Biochemistry, Genetics and Molecular Biology 8 5%
Medicine and Dentistry 7 4%
Other 23 14%
Unknown 35 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 79. 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 17 May 2018.
All research outputs
#539,921
of 25,373,627 outputs
Outputs from Frontiers in Neuroscience
#228
of 11,538 outputs
Outputs of similar age
#6,057
of 282,051 outputs
Outputs of similar age from Frontiers in Neuroscience
#2
of 117 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 98% 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 282,051 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 97% of its contemporaries.
We're also able to compare this research output to 117 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 98% of its contemporaries.