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Early brain connectivity alterations and cognitive impairment in a rat model of Alzheimer’s disease

Overview of attention for article published in Alzheimer's Research & Therapy, February 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)

Mentioned by

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1 news outlet
twitter
10 tweeters

Citations

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38 Dimensions

Readers on

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102 Mendeley
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Title
Early brain connectivity alterations and cognitive impairment in a rat model of Alzheimer’s disease
Published in
Alzheimer's Research & Therapy, February 2018
DOI 10.1186/s13195-018-0346-2
Pubmed ID
Authors

Emma Muñoz-Moreno, Raúl Tudela, Xavier López-Gil, Guadalupe Soria

Abstract

Animal models of Alzheimer's disease (AD) are essential to understanding the disease progression and to development of early biomarkers. Because AD has been described as a disconnection syndrome, magnetic resonance imaging (MRI)-based connectomics provides a highly translational approach to characterizing the disruption in connectivity associated with the disease. In this study, a transgenic rat model of AD (TgF344-AD) was analyzed to describe both cognitive performance and brain connectivity at an early stage (5 months of age) before a significant concentration of β-amyloid plaques is present. Cognitive abilities were assessed by a delayed nonmatch-to-sample (DNMS) task preceded by a training phase where the animals learned the task. The number of training sessions required to achieve a learning criterion was recorded and evaluated. After DNMS, MRI acquisition was performed, including diffusion-weighted MRI and resting-state functional MRI, which were processed to obtain the structural and functional connectomes, respectively. Global and regional graph metrics were computed to evaluate network organization in both transgenic and control rats. The results pointed to a delay in learning the working memory-related task in the AD rats, which also completed a lower number of trials in the DNMS task. Regarding connectivity properties, less efficient organization of the structural brain networks of the transgenic rats with respect to controls was observed. Specific regional differences in connectivity were identified in both structural and functional networks. In addition, a strong correlation was observed between cognitive performance and brain networks, including whole-brain structural connectivity as well as functional and structural network metrics of regions related to memory and reward processes. In this study, connectivity and neurocognitive impairments were identified in TgF344-AD rats at a very early stage of the disease when most of the pathological hallmarks have not yet been detected. Structural and functional network metrics of regions related to reward, memory, and sensory performance were strongly correlated with the cognitive outcome. The use of animal models is essential for the early identification of these alterations and can contribute to the development of early biomarkers of the disease based on MRI connectomics.

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 19%
Researcher 18 18%
Student > Bachelor 9 9%
Student > Master 9 9%
Student > Doctoral Student 6 6%
Other 16 16%
Unknown 25 25%
Readers by discipline Count As %
Neuroscience 28 27%
Psychology 10 10%
Medicine and Dentistry 7 7%
Engineering 6 6%
Biochemistry, Genetics and Molecular Biology 5 5%
Other 12 12%
Unknown 34 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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
#1,651,682
of 20,632,671 outputs
Outputs from Alzheimer's Research & Therapy
#325
of 1,069 outputs
Outputs of similar age
#44,605
of 394,369 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#1
of 1 outputs
Altmetric has tracked 20,632,671 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,069 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.2. This one has gotten more attention than average, scoring higher than 69% 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 394,369 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them