↓ Skip to main content

The Oscillopathic Nature of Language Deficits in Autism: From Genes to Language Evolution

Overview of attention for article published in Frontiers in Human Neuroscience, March 2016
Altmetric Badge

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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
28 X users
facebook
2 Facebook pages

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
95 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The Oscillopathic Nature of Language Deficits in Autism: From Genes to Language Evolution
Published in
Frontiers in Human Neuroscience, March 2016
DOI 10.3389/fnhum.2016.00120
Pubmed ID
Authors

Antonio Benítez-Burraco, Elliot Murphy

Abstract

Autism spectrum disorders (ASD) are pervasive neurodevelopmental disorders involving a number of deficits to linguistic cognition. The gap between genetics and the pathophysiology of ASD remains open, in particular regarding its distinctive linguistic profile. The goal of this article is to attempt to bridge this gap, focusing on how the autistic brain processes language, particularly through the perspective of brain rhythms. Due to the phenomenon of pleiotropy, which may take some decades to overcome, we believe that studies of brain rhythms, which are not faced with problems of this scale, may constitute a more tractable route to interpreting language deficits in ASD and eventually other neurocognitive disorders. Building on recent attempts to link neural oscillations to certain computational primitives of language, we show that interpreting language deficits in ASD as oscillopathic traits is a potentially fruitful way to construct successful endophenotypes of this condition. Additionally, we will show that candidate genes for ASD are overrepresented among the genes that played a role in the evolution of language. These genes include (and are related to) genes involved in brain rhythmicity. We hope that the type of steps taken here will additionally lead to a better understanding of the comorbidity, heterogeneity, and variability of ASD, and may help achieve a better treatment of the affected populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Canada 1 1%
Unknown 92 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 25%
Student > Master 17 18%
Student > Ph. D. Student 15 16%
Professor 5 5%
Student > Doctoral Student 4 4%
Other 17 18%
Unknown 13 14%
Readers by discipline Count As %
Psychology 24 25%
Neuroscience 16 17%
Linguistics 8 8%
Social Sciences 6 6%
Biochemistry, Genetics and Molecular Biology 5 5%
Other 18 19%
Unknown 18 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 23 May 2024.
All research outputs
#1,299,793
of 25,965,655 outputs
Outputs from Frontiers in Human Neuroscience
#576
of 7,779 outputs
Outputs of similar age
#21,417
of 316,728 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#15
of 162 outputs
Altmetric has tracked 25,965,655 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,779 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done particularly well, scoring higher than 92% 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 316,728 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 93% of its contemporaries.
We're also able to compare this research output to 162 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 90% of its contemporaries.