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A mechanical model predicts morphological abnormalities in the developing human brain

Overview of attention for article published in Scientific Reports, July 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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21 X users
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3 Facebook pages
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3 Wikipedia pages

Citations

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161 Dimensions

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223 Mendeley
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Title
A mechanical model predicts morphological abnormalities in the developing human brain
Published in
Scientific Reports, July 2014
DOI 10.1038/srep05644
Pubmed ID
Authors

Silvia Budday, Charles Raybaud, Ellen Kuhl

Abstract

The developing human brain remains one of the few unsolved mysteries of science. Advancements in developmental biology, neuroscience, and medical imaging have brought us closer than ever to understand brain development in health and disease. However, the precise role of mechanics throughout this process remains underestimated and poorly understood. Here we show that mechanical stretch plays a crucial role in brain development. Using the nonlinear field theories of mechanics supplemented by the theory of finite growth, we model the human brain as a living system with a morphogenetically growing outer surface and a stretch-driven growing inner core. This approach seamlessly integrates the two popular but competing hypotheses for cortical folding: axonal tension and differential growth. We calibrate our model using magnetic resonance images from very preterm neonates. Our model predicts that deviations in cortical growth and thickness induce morphological abnormalities. Using the gyrification index, the ratio between the total and exposed surface area, we demonstrate that these abnormalities agree with the classical pathologies of lissencephaly and polymicrogyria. Understanding the mechanisms of cortical folding in the developing human brain has direct implications in the diagnostics and treatment of neurological disorders, including epilepsy, schizophrenia, and autism.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 <1%
Italy 1 <1%
Austria 1 <1%
United Kingdom 1 <1%
New Zealand 1 <1%
Belgium 1 <1%
United States 1 <1%
Unknown 215 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 45 20%
Student > Ph. D. Student 41 18%
Student > Master 23 10%
Student > Doctoral Student 15 7%
Student > Bachelor 14 6%
Other 41 18%
Unknown 44 20%
Readers by discipline Count As %
Engineering 45 20%
Neuroscience 28 13%
Medicine and Dentistry 24 11%
Agricultural and Biological Sciences 23 10%
Psychology 12 5%
Other 39 17%
Unknown 52 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 08 June 2019.
All research outputs
#2,278,669
of 24,350,163 outputs
Outputs from Scientific Reports
#20,165
of 132,444 outputs
Outputs of similar age
#22,611
of 230,403 outputs
Outputs of similar age from Scientific Reports
#116
of 849 outputs
Altmetric has tracked 24,350,163 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 132,444 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done well, scoring higher than 84% 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 230,403 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 90% of its contemporaries.
We're also able to compare this research output to 849 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.